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You searched for subject:(texture classification). Showing records 1 – 30 of 186 total matches.

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1. Reddy, G Venkata Rami. Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching.

Degree: Computer Science Engineering, 2013, Jawaharlal Nehru Technological University, Hyderabad

Texture synthesis is important for many applications in computer graphics, vision, and image processing. However, it remains difficult to design an algorithm that is both… (more)

Subjects/Keywords: Classification; Model; Stochastic; Synthesis; Texture

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Reddy, G. V. R. (2013). Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching. (Thesis). Jawaharlal Nehru Technological University, Hyderabad. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/19734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Reddy, G Venkata Rami. “Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching.” 2013. Thesis, Jawaharlal Nehru Technological University, Hyderabad. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/19734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Reddy, G Venkata Rami. “Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching.” 2013. Web. 22 Nov 2019.

Vancouver:

Reddy GVR. Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching. [Internet] [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2013. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddy GVR. Texture Synthesis and Classification for Stochastic Texture model Recognition and Matching. [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Australia

2. Woloszynski, Tomasz. Automated classification system for detection and prediction of osteoarthritis in human knee joints.

Degree: PhD, 2011, University of Western Australia

[Truncated abstract] The development of an automated classification system for detection and prediction of knee osteoarthritis (OA) is of great interest to the medical community.… (more)

Subjects/Keywords: Osteoarthritis; Bone; Texture classification

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APA (6th Edition):

Woloszynski, T. (2011). Automated classification system for detection and prediction of osteoarthritis in human knee joints. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32771&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Woloszynski, Tomasz. “Automated classification system for detection and prediction of osteoarthritis in human knee joints.” 2011. Doctoral Dissertation, University of Western Australia. Accessed November 22, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32771&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Woloszynski, Tomasz. “Automated classification system for detection and prediction of osteoarthritis in human knee joints.” 2011. Web. 22 Nov 2019.

Vancouver:

Woloszynski T. Automated classification system for detection and prediction of osteoarthritis in human knee joints. [Internet] [Doctoral dissertation]. University of Western Australia; 2011. [cited 2019 Nov 22]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32771&local_base=GEN01-INS01.

Council of Science Editors:

Woloszynski T. Automated classification system for detection and prediction of osteoarthritis in human knee joints. [Doctoral Dissertation]. University of Western Australia; 2011. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32771&local_base=GEN01-INS01


Georgia Tech

3. Hu, Yuting. Texture representation and analysis in material classification and characterization.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 Objects and scenes in the real world exhibit abundant textural information. Textures observed in the surfaces of natural objects are not only the appearance of… (more)

Subjects/Keywords: Texture representation; Texture characterization; Deep learning; Texture classification; Texture tracking; Texture analysis; Texture dataset; Material recognition; Material surface characterization

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APA (6th Edition):

Hu, Y. (2019). Texture representation and analysis in material classification and characterization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61735

Chicago Manual of Style (16th Edition):

Hu, Yuting. “Texture representation and analysis in material classification and characterization.” 2019. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/61735.

MLA Handbook (7th Edition):

Hu, Yuting. “Texture representation and analysis in material classification and characterization.” 2019. Web. 22 Nov 2019.

Vancouver:

Hu Y. Texture representation and analysis in material classification and characterization. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/61735.

Council of Science Editors:

Hu Y. Texture representation and analysis in material classification and characterization. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61735

4. Venkateswarlu, Yalla. Image texture classification methods based on statistical approaches;.

Degree: Computer Science, 2012, Acharya Nagarjuna University

Subjects/Keywords: Image Texture; Texture Classification; Texture Pattern

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Venkateswarlu, Y. (2012). Image texture classification methods based on statistical approaches;. (Thesis). Acharya Nagarjuna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/30321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Venkateswarlu, Yalla. “Image texture classification methods based on statistical approaches;.” 2012. Thesis, Acharya Nagarjuna University. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/30321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Venkateswarlu, Yalla. “Image texture classification methods based on statistical approaches;.” 2012. Web. 22 Nov 2019.

Vancouver:

Venkateswarlu Y. Image texture classification methods based on statistical approaches;. [Internet] [Thesis]. Acharya Nagarjuna University; 2012. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Venkateswarlu Y. Image texture classification methods based on statistical approaches;. [Thesis]. Acharya Nagarjuna University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Ilea, Ioana. Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique.

Degree: Docteur es, Automatique, productique, signal et image, ingénierie cognitique, 2017, Bordeaux; Universitatea tehnica (Cluj-Napoca, Roumanie)

Au cours de ces dernières années, les matrices de covariance ont montré leur intérêt dans de nombreuses applications en traitement du signal et de l'image.Les… (more)

Subjects/Keywords: Matrice de covariance; Classification robuste; Texture; Espace Riemannien; Covariance matrix; Robust classification; Texture; Riemannian space

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ilea, I. (2017). Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique. (Doctoral Dissertation). Bordeaux; Universitatea tehnica (Cluj-Napoca, Roumanie). Retrieved from http://www.theses.fr/2017BORD0006

Chicago Manual of Style (16th Edition):

Ilea, Ioana. “Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique.” 2017. Doctoral Dissertation, Bordeaux; Universitatea tehnica (Cluj-Napoca, Roumanie). Accessed November 22, 2019. http://www.theses.fr/2017BORD0006.

MLA Handbook (7th Edition):

Ilea, Ioana. “Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique.” 2017. Web. 22 Nov 2019.

Vancouver:

Ilea I. Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique. [Internet] [Doctoral dissertation]. Bordeaux; Universitatea tehnica (Cluj-Napoca, Roumanie); 2017. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2017BORD0006.

Council of Science Editors:

Ilea I. Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification : Classification robuste sur l'espace des matrices de covariance : application à la texture et aux images de télédétection polarimétriques radar à ouverture synthétique. [Doctoral Dissertation]. Bordeaux; Universitatea tehnica (Cluj-Napoca, Roumanie); 2017. Available from: http://www.theses.fr/2017BORD0006

6. Nguyen, Vu Lam. Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification.

Degree: Docteur es, STIC (Sciences et Technologies de l'Information et de la Communication) - ED EM2PSI, 2018, Cergy-Pontoise

 Dans cette thèse, nous nous intéressons à la classification des images de textures avec aucune connaissance a priori sur les conditions de numérisation. Cette classification(more)

Subjects/Keywords: Image classification; Texture classification; Représentation; Normalized-Convolution; Feature; Image classification; Feature; Descriptor; Normalized-Convolution; Texture classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nguyen, V. L. (2018). Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification. (Doctoral Dissertation). Cergy-Pontoise. Retrieved from http://www.theses.fr/2018CERG0974

Chicago Manual of Style (16th Edition):

Nguyen, Vu Lam. “Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification.” 2018. Doctoral Dissertation, Cergy-Pontoise. Accessed November 22, 2019. http://www.theses.fr/2018CERG0974.

MLA Handbook (7th Edition):

Nguyen, Vu Lam. “Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification.” 2018. Web. 22 Nov 2019.

Vancouver:

Nguyen VL. Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification. [Internet] [Doctoral dissertation]. Cergy-Pontoise; 2018. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2018CERG0974.

Council of Science Editors:

Nguyen VL. Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification. [Doctoral Dissertation]. Cergy-Pontoise; 2018. Available from: http://www.theses.fr/2018CERG0974


Université de Sherbrooke

7. Safia, Abdelmounaime. Développement d’un modèle d’analyse de texture multibande .

Degree: 2015, Université de Sherbrooke

 Résumé : En télédétection, la texture facilite l’identification des classes de surfaces sur des critères de similitude d’organisation spatiale des pixels. Les méthodes d’analyse texturale… (more)

Subjects/Keywords: Unité texturale compacte; Unité texturale compacte multibande; Texture multibande; Base de données de texture multibande; Album de Brodatz; Classification texturale; Invariance à la rotation; Recherche d'images; Compact texture unit; Multiband compact texture unit; Multiband texture; Multiband texture database; Brodatz texture; Texture classification; Rotation invariance; Image retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Safia, A. (2015). Développement d’un modèle d’analyse de texture multibande . (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/5990

Chicago Manual of Style (16th Edition):

Safia, Abdelmounaime. “Développement d’un modèle d’analyse de texture multibande .” 2015. Doctoral Dissertation, Université de Sherbrooke. Accessed November 22, 2019. http://hdl.handle.net/11143/5990.

MLA Handbook (7th Edition):

Safia, Abdelmounaime. “Développement d’un modèle d’analyse de texture multibande .” 2015. Web. 22 Nov 2019.

Vancouver:

Safia A. Développement d’un modèle d’analyse de texture multibande . [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11143/5990.

Council of Science Editors:

Safia A. Développement d’un modèle d’analyse de texture multibande . [Doctoral Dissertation]. Université de Sherbrooke; 2015. Available from: http://hdl.handle.net/11143/5990

8. Jangala Sasi Kiran. Novel approaches of texture feature extraction for image classification and recognition;.

Degree: 2013, University of Mysore

newline

Advisors/Committee Members: Vakulabharanam Vijaya Kumar.

Subjects/Keywords: Image Classification; Input Texture Images; Texture Analysis; Texture Classification; Texture Feature Extraction

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APA (6th Edition):

Kiran, J. S. (2013). Novel approaches of texture feature extraction for image classification and recognition;. (Thesis). University of Mysore. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/39821

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kiran, Jangala Sasi. “Novel approaches of texture feature extraction for image classification and recognition;.” 2013. Thesis, University of Mysore. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/39821.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kiran, Jangala Sasi. “Novel approaches of texture feature extraction for image classification and recognition;.” 2013. Web. 22 Nov 2019.

Vancouver:

Kiran JS. Novel approaches of texture feature extraction for image classification and recognition;. [Internet] [Thesis]. University of Mysore; 2013. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39821.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kiran JS. Novel approaches of texture feature extraction for image classification and recognition;. [Thesis]. University of Mysore; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39821

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Attia, Dhouha. Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals.

Degree: Docteur es, Informatique, 2013, Belfort-Montbéliard

En segmentation d’images, les informations de couleur et de texture sont très utilisées. Le premier apport de cette thèse se situe au niveau de l’utilisation… (more)

Subjects/Keywords: Segmentation d’images; Classification de pixels; Couleur; Texture; Combinaison couleur/texture; ACP; Localisation; GNSS; Transport; Image segmentation; Pixel classification; Color; Texture; Color/texture combination; PCA; Localization; GNSS

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APA (6th Edition):

Attia, D. (2013). Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals. (Doctoral Dissertation). Belfort-Montbéliard. Retrieved from http://www.theses.fr/2013BELF0209

Chicago Manual of Style (16th Edition):

Attia, Dhouha. “Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals.” 2013. Doctoral Dissertation, Belfort-Montbéliard. Accessed November 22, 2019. http://www.theses.fr/2013BELF0209.

MLA Handbook (7th Edition):

Attia, Dhouha. “Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals.” 2013. Web. 22 Nov 2019.

Vancouver:

Attia D. Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals. [Internet] [Doctoral dissertation]. Belfort-Montbéliard; 2013. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2013BELF0209.

Council of Science Editors:

Attia D. Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels. : Applications à la caractérisation de l'environnement de réception de signaux GNSS : Image segmentation by adaptive color/texture combination and classification of pixels : Application to characterization of the reception environment of GNSS signals. [Doctoral Dissertation]. Belfort-Montbéliard; 2013. Available from: http://www.theses.fr/2013BELF0209

10. Schutz, Aurélien. Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application.

Degree: Docteur es, Automatique, productique, signal et image, ingénierie cognitique, 2014, Bordeaux

Le travail présenté dans cette thèse a pour objectif de proposer un algorithme de classification supervisée d’images texturées basée sur la modélisation multivariée de champs… (more)

Subjects/Keywords: Classification; Diversité intra-classe; Loi a priori intrinsèque; Modèles multivariés; Texture; Classification; Intra-class diversity; Intrinsic prior; Multivariate models; Texture

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APA (6th Edition):

Schutz, A. (2014). Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2014BORD0356

Chicago Manual of Style (16th Edition):

Schutz, Aurélien. “Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application.” 2014. Doctoral Dissertation, Bordeaux. Accessed November 22, 2019. http://www.theses.fr/2014BORD0356.

MLA Handbook (7th Edition):

Schutz, Aurélien. “Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application.” 2014. Web. 22 Nov 2019.

Vancouver:

Schutz A. Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application. [Internet] [Doctoral dissertation]. Bordeaux; 2014. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2014BORD0356.

Council of Science Editors:

Schutz A. Modélisation multivariée de champs texturaux : application à la classification d'images. : Multivariate modeling of texture space : image classification application. [Doctoral Dissertation]. Bordeaux; 2014. Available from: http://www.theses.fr/2014BORD0356


INP Toulouse

11. Julian, Pauline. Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality.

Degree: Docteur es, Spécialité Informatique, 2012, INP Toulouse

 Dans cette thèse, nous nous intéressons au problème de la segmentation de portraits numériques. Nous appelons portrait numérique la photographie d’une personne avec un cadre… (more)

Subjects/Keywords: Segmentation; Détection; Classification; Méthodes variationnelles; Texture; Level set; Skin segmentation; Active contour; Classification; Hair segmentation; Texture; Active shape; PCA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Julian, P. (2012). Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2012INPT0169

Chicago Manual of Style (16th Edition):

Julian, Pauline. “Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality.” 2012. Doctoral Dissertation, INP Toulouse. Accessed November 22, 2019. http://www.theses.fr/2012INPT0169.

MLA Handbook (7th Edition):

Julian, Pauline. “Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality.” 2012. Web. 22 Nov 2019.

Vancouver:

Julian P. Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality. [Internet] [Doctoral dissertation]. INP Toulouse; 2012. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2012INPT0169.

Council of Science Editors:

Julian P. Méthodes variationnelles pour la segmentation avec application à la réalité augmentée : Variational methods for segmentation with application to augmented reality. [Doctoral Dissertation]. INP Toulouse; 2012. Available from: http://www.theses.fr/2012INPT0169

12. Wang, Yan. Détection des changements à partir de photographies : Change detection from photographs.

Degree: Docteur es, Image, information, hypermedia, 2016, Université Toulouse III – Paul Sabatier

 Les travaux de cette thèse concernent la détection des changements dans des séries chronologiques de photographies de paysages prises depuis le sol. Ce contexte de… (more)

Subjects/Keywords: Analyse d'images; Détection des changements; Superpixels; Texture; Apprentissage; Classification; Image analysis; Change detection; Uperpixels; Texture; Machine learning; Classification

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APA (6th Edition):

Wang, Y. (2016). Détection des changements à partir de photographies : Change detection from photographs. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2016TOU30069

Chicago Manual of Style (16th Edition):

Wang, Yan. “Détection des changements à partir de photographies : Change detection from photographs.” 2016. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed November 22, 2019. http://www.theses.fr/2016TOU30069.

MLA Handbook (7th Edition):

Wang, Yan. “Détection des changements à partir de photographies : Change detection from photographs.” 2016. Web. 22 Nov 2019.

Vancouver:

Wang Y. Détection des changements à partir de photographies : Change detection from photographs. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2016TOU30069.

Council of Science Editors:

Wang Y. Détection des changements à partir de photographies : Change detection from photographs. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2016. Available from: http://www.theses.fr/2016TOU30069

13. Roussel, Guillaume. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.

Degree: Docteur es, Photonique et systèmes optoélectroniques, 2012, Toulouse, ISAE

L'imagerie hyperspectrale, grâce à un nombre élevé de bandes spectrales très fines et contigües, est capable d'associer àchaque pixel d'une image une signature spectrale caractéristique… (more)

Subjects/Keywords: Classification; Hyperspectral; Information spatiale; Texture; Champs de Markov; Segmentation; Classification; Hyperspectral; Spatial information; Texture; Markov Random Fields; Segmentation; 621

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APA (6th Edition):

Roussel, G. (2012). Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. (Doctoral Dissertation). Toulouse, ISAE. Retrieved from http://www.theses.fr/2012ESAE0020

Chicago Manual of Style (16th Edition):

Roussel, Guillaume. “Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.” 2012. Doctoral Dissertation, Toulouse, ISAE. Accessed November 22, 2019. http://www.theses.fr/2012ESAE0020.

MLA Handbook (7th Edition):

Roussel, Guillaume. “Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images.” 2012. Web. 22 Nov 2019.

Vancouver:

Roussel G. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. [Internet] [Doctoral dissertation]. Toulouse, ISAE; 2012. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2012ESAE0020.

Council of Science Editors:

Roussel G. Développement et évaluation de nouvelles méthodes de classification spatiale-spectrale d’images hyperspectrales : Development and evaluation of new spatial-spectral classification methods of hyperspectral images. [Doctoral Dissertation]. Toulouse, ISAE; 2012. Available from: http://www.theses.fr/2012ESAE0020

14. Houam, Lotfi. Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis.

Degree: Docteur es, Automatique et traitement du signal, 2013, Orléans; Université 08 mai 45 Guelma (Algérie)

L’ostéoporose est une maladie osseuse caractérisée par une perte importante de la masse osseuse et des altérations de la microarchitecture du tissu osseux. Aujourd’hui, en… (more)

Subjects/Keywords: Texture; Motifs binaires locaux; Classification; Os; Ostéoporose; Radiographie X; Texture; Local binary patterns; Classification; Bone; Osteoporosis; X- Radiography

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Houam, L. (2013). Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis. (Doctoral Dissertation). Orléans; Université 08 mai 45 Guelma (Algérie). Retrieved from http://www.theses.fr/2013ORLE2058

Chicago Manual of Style (16th Edition):

Houam, Lotfi. “Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis.” 2013. Doctoral Dissertation, Orléans; Université 08 mai 45 Guelma (Algérie). Accessed November 22, 2019. http://www.theses.fr/2013ORLE2058.

MLA Handbook (7th Edition):

Houam, Lotfi. “Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis.” 2013. Web. 22 Nov 2019.

Vancouver:

Houam L. Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis. [Internet] [Doctoral dissertation]. Orléans; Université 08 mai 45 Guelma (Algérie); 2013. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2013ORLE2058.

Council of Science Editors:

Houam L. Contribution à l'analyse de textures de radiographies osseuses pour le diagnostic précoce de l'ostéoporose : Contribution to texture analysis of bone radiographs for early diagnosis of osteoporosis. [Doctoral Dissertation]. Orléans; Université 08 mai 45 Guelma (Algérie); 2013. Available from: http://www.theses.fr/2013ORLE2058


Université Montpellier II

15. Kennel, Pol. Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology.

Degree: Docteur es, Informatique, 2013, Université Montpellier II

L'analyse des images numériques, bien que largement étudiée, reste encore aujourd'hui un réel défi. Avec pour objectifs la description pertinente et la reconnaissance sémantique du… (more)

Subjects/Keywords: Traitement d'images; Segmentation; Texture; Transformée en ondelettes complexes; Classification; Télédétection; Image processing; Segmentation; Texture; Complex wavelets transform; Classification; Remote sensing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kennel, P. (2013). Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2013MON20215

Chicago Manual of Style (16th Edition):

Kennel, Pol. “Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology.” 2013. Doctoral Dissertation, Université Montpellier II. Accessed November 22, 2019. http://www.theses.fr/2013MON20215.

MLA Handbook (7th Edition):

Kennel, Pol. “Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology.” 2013. Web. 22 Nov 2019.

Vancouver:

Kennel P. Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology. [Internet] [Doctoral dissertation]. Université Montpellier II; 2013. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2013MON20215.

Council of Science Editors:

Kennel P. Caractérisation de texture par analyse en ondelettes complexes pour la segmentation d’image : applications en télédétection et en écologie forestière : Textures characterization based on complex wavelet transform for image segmentation : applications on remote sensing images and forest ecology. [Doctoral Dissertation]. Université Montpellier II; 2013. Available from: http://www.theses.fr/2013MON20215


University of Alberta

16. Maani, Rouzbeh. Robust Texture Features with Applications in Medical Imaging.

Degree: PhD, Department of Computing Science, 2015, University of Alberta

 Image texture is defined as visual patterns appearing in images. The powerful perceptive capability of texture features has made texture analysis a major research topic… (more)

Subjects/Keywords: Volumetric Texture; Robust Gradient Operator; Texture Classification; MRI; Texture; ALS; Robust; 3D Texture; Robust Edge Aware Descriptor; Invariant; Medical Imaging; Local Frequency Descriptor

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Maani, R. (2015). Robust Texture Features with Applications in Medical Imaging. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/n009w4936

Chicago Manual of Style (16th Edition):

Maani, Rouzbeh. “Robust Texture Features with Applications in Medical Imaging.” 2015. Doctoral Dissertation, University of Alberta. Accessed November 22, 2019. https://era.library.ualberta.ca/files/n009w4936.

MLA Handbook (7th Edition):

Maani, Rouzbeh. “Robust Texture Features with Applications in Medical Imaging.” 2015. Web. 22 Nov 2019.

Vancouver:

Maani R. Robust Texture Features with Applications in Medical Imaging. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2019 Nov 22]. Available from: https://era.library.ualberta.ca/files/n009w4936.

Council of Science Editors:

Maani R. Robust Texture Features with Applications in Medical Imaging. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/n009w4936

17. Birudu Sujatha. Novel approaches for rotationally invariant texture analysis and classification;.

Degree: 2012, University of Mysore

newline

Advisors/Committee Members: Vijaya Kumar, Vakulabharanam.

Subjects/Keywords: Fuzzy Texture Spectrum (FTS); Left Right Texture Unit matrix; Texture Analysis; Texture Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sujatha, B. (2012). Novel approaches for rotationally invariant texture analysis and classification;. (Thesis). University of Mysore. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35955

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sujatha, Birudu. “Novel approaches for rotationally invariant texture analysis and classification;.” 2012. Thesis, University of Mysore. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/35955.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sujatha, Birudu. “Novel approaches for rotationally invariant texture analysis and classification;.” 2012. Web. 22 Nov 2019.

Vancouver:

Sujatha B. Novel approaches for rotationally invariant texture analysis and classification;. [Internet] [Thesis]. University of Mysore; 2012. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35955.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sujatha B. Novel approaches for rotationally invariant texture analysis and classification;. [Thesis]. University of Mysore; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35955

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

18. Doshi, Niraj P. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.

Degree: PhD, 2014, Loughborough University

Texture can be broadly stated as spatial variation of image intensities. Texture analysis and classification is a well researched area for its importance to many… (more)

Subjects/Keywords: LBP; MD-LBP; Texture analysis; Medical Image Analysis; Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Doshi, N. P. (2014). Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/17332 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647328

Chicago Manual of Style (16th Edition):

Doshi, Niraj P. “Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.” 2014. Doctoral Dissertation, Loughborough University. Accessed November 22, 2019. https://dspace.lboro.ac.uk/2134/17332 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647328.

MLA Handbook (7th Edition):

Doshi, Niraj P. “Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.” 2014. Web. 22 Nov 2019.

Vancouver:

Doshi NP. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2019 Nov 22]. Available from: https://dspace.lboro.ac.uk/2134/17332 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647328.

Council of Science Editors:

Doshi NP. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. [Doctoral Dissertation]. Loughborough University; 2014. Available from: https://dspace.lboro.ac.uk/2134/17332 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.647328


Anna University

19. Suguna R. A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;.

Degree: 2013, Anna University

Texture is a fundamental property of natural images which is of much importance in the fields of computer vision and computer graphics. Texture analysis is… (more)

Subjects/Keywords: Orthogonal polynomial operators; texture classification; image database; Local Binary Pattern operator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

R, S. (2013). A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13805

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

R, Suguna. “A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;.” 2013. Thesis, Anna University. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13805.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

R, Suguna. “A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;.” 2013. Web. 22 Nov 2019.

Vancouver:

R S. A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13805.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R S. A novel feature descriptors based on orthogonal polynomial and improved local binary pattern operators for texture classification in image databases;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13805

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Luleå University of Technology

20. Fiquet, Charlotte. Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties.

Degree: 2010, Luleå University of Technology

The Swedish mining company LKAB is using limestone as additives for the production of its iron ore pellets. The company is considering five new… (more)

Subjects/Keywords: Technology; Limestones; disintegration; texture; Dunham classification; lithification; micro-cracks; Teknik

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APA (6th Edition):

Fiquet, C. (2010). Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41964

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fiquet, Charlotte. “Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties.” 2010. Thesis, Luleå University of Technology. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41964.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fiquet, Charlotte. “Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties.” 2010. Web. 22 Nov 2019.

Vancouver:

Fiquet C. Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties. [Internet] [Thesis]. Luleå University of Technology; 2010. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41964.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fiquet C. Characterization and comparison of new limestone additives for LKAB's pellets according to texture and disintegration properties. [Thesis]. Luleå University of Technology; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41964

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

21. GARNAVI, RAHIL. Computer-aided diagnosis of melanoma.

Degree: 2011, University of Melbourne

 Malignant melanoma is one of the most common and the deadliest type of skin cancer. In Australia, it represents 10% of all cancers and its… (more)

Subjects/Keywords: melanoma; dermoscopy; image processing; classification; wavelet; texture; segmentation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

GARNAVI, R. (2011). Computer-aided diagnosis of melanoma. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/36426

Chicago Manual of Style (16th Edition):

GARNAVI, RAHIL. “Computer-aided diagnosis of melanoma.” 2011. Doctoral Dissertation, University of Melbourne. Accessed November 22, 2019. http://hdl.handle.net/11343/36426.

MLA Handbook (7th Edition):

GARNAVI, RAHIL. “Computer-aided diagnosis of melanoma.” 2011. Web. 22 Nov 2019.

Vancouver:

GARNAVI R. Computer-aided diagnosis of melanoma. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11343/36426.

Council of Science Editors:

GARNAVI R. Computer-aided diagnosis of melanoma. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/36426


Loughborough University

22. Doshi, Niraj P. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.

Degree: PhD, 2014, Loughborough University

Texture can be broadly stated as spatial variation of image intensities. Texture analysis and classification is a well researched area for its importance to many… (more)

Subjects/Keywords: 006.3; LBP; MD-LBP; Texture analysis; Medical Image Analysis; Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Doshi, N. P. (2014). Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/17332

Chicago Manual of Style (16th Edition):

Doshi, Niraj P. “Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.” 2014. Doctoral Dissertation, Loughborough University. Accessed November 22, 2019. http://hdl.handle.net/2134/17332.

MLA Handbook (7th Edition):

Doshi, Niraj P. “Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis.” 2014. Web. 22 Nov 2019.

Vancouver:

Doshi NP. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2134/17332.

Council of Science Editors:

Doshi NP. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/17332


University of Exeter

23. Abuhammad, H. Emotion classification using combinations of texture descriptors.

Degree: PhD, 2019, University of Exeter

 We present an automated new approach for facial expression recognition of seven emotions. The main objective of this thesis is building a model that can… (more)

Subjects/Keywords: facial Emotion; Texture Descriptors; Emotion Classification; SVM; Random Forests

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abuhammad, H. (2019). Emotion classification using combinations of texture descriptors. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/39319

Chicago Manual of Style (16th Edition):

Abuhammad, H. “Emotion classification using combinations of texture descriptors.” 2019. Doctoral Dissertation, University of Exeter. Accessed November 22, 2019. http://hdl.handle.net/10871/39319.

MLA Handbook (7th Edition):

Abuhammad, H. “Emotion classification using combinations of texture descriptors.” 2019. Web. 22 Nov 2019.

Vancouver:

Abuhammad H. Emotion classification using combinations of texture descriptors. [Internet] [Doctoral dissertation]. University of Exeter; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10871/39319.

Council of Science Editors:

Abuhammad H. Emotion classification using combinations of texture descriptors. [Doctoral Dissertation]. University of Exeter; 2019. Available from: http://hdl.handle.net/10871/39319


RMIT University

24. Lam, B. Discovery of texture features using genetic programming.

Degree: 2012, RMIT University

 A visual texture is an image in which a basic pattern or texture element is repeated many times, for example grass in a lawn. Within… (more)

Subjects/Keywords: Fields of Research; Texture features; classification; genetic programming; malt classification; index of modification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lam, B. (2012). Discovery of texture features using genetic programming. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lam, B. “Discovery of texture features using genetic programming.” 2012. Thesis, RMIT University. Accessed November 22, 2019. http://researchbank.rmit.edu.au/view/rmit:160245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lam, B. “Discovery of texture features using genetic programming.” 2012. Web. 22 Nov 2019.

Vancouver:

Lam B. Discovery of texture features using genetic programming. [Internet] [Thesis]. RMIT University; 2012. [cited 2019 Nov 22]. Available from: http://researchbank.rmit.edu.au/view/rmit:160245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam B. Discovery of texture features using genetic programming. [Thesis]. RMIT University; 2012. Available from: http://researchbank.rmit.edu.au/view/rmit:160245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


New Jersey Institute of Technology

25. Banerji, Sugata. Novel color and local image descriptors for content-based image search.

Degree: PhD, Computer Science, 2013, New Jersey Institute of Technology

  Content-based image classification, search and retrieval is a rapidly-expanding research area. With the advent of inexpensive digital cameras, cheap data storage, fast computing speeds… (more)

Subjects/Keywords: Image search; Image classification; Image processing; Color features; Texture features; Scene classification; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Banerji, S. (2013). Novel color and local image descriptors for content-based image search. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/358

Chicago Manual of Style (16th Edition):

Banerji, Sugata. “Novel color and local image descriptors for content-based image search.” 2013. Doctoral Dissertation, New Jersey Institute of Technology. Accessed November 22, 2019. https://digitalcommons.njit.edu/dissertations/358.

MLA Handbook (7th Edition):

Banerji, Sugata. “Novel color and local image descriptors for content-based image search.” 2013. Web. 22 Nov 2019.

Vancouver:

Banerji S. Novel color and local image descriptors for content-based image search. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2013. [cited 2019 Nov 22]. Available from: https://digitalcommons.njit.edu/dissertations/358.

Council of Science Editors:

Banerji S. Novel color and local image descriptors for content-based image search. [Doctoral Dissertation]. New Jersey Institute of Technology; 2013. Available from: https://digitalcommons.njit.edu/dissertations/358

26. Babu, Uppu Ravi. An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit.

Degree: Computer Science, 2013, Acharya Nagarjuna University

Abstract available

References 112-126

Advisors/Committee Members: Kumar, V Vijay.

Subjects/Keywords: Pattern Trend; Texton; Texture Classification; Texture Unit

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Babu, U. R. (2013). An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit. (Thesis). Acharya Nagarjuna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Babu, Uppu Ravi. “An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit.” 2013. Thesis, Acharya Nagarjuna University. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/35597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Babu, Uppu Ravi. “An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit.” 2013. Web. 22 Nov 2019.

Vancouver:

Babu UR. An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit. [Internet] [Thesis]. Acharya Nagarjuna University; 2013. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Babu UR. An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit; An efficient texture classification based on pattern trends using fuzzy logic, local edge and texture unit. [Thesis]. Acharya Nagarjuna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Rovira i Virgili

27. Meléndez Rodríguez, Jaime Christian. Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification.

Degree: Departament d'Enginyeria Informàtica i Matemàtiques, 2010, Universitat Rovira i Virgili

 Esta tesis propone metodologías nuevas y eficientes para segmentar imágenes a partir de información de textura en entornos supervisados y no supervisados. Para el caso… (more)

Subjects/Keywords: support vector machines; prototype-based classification; multi-level classification; multi-sized evaluation windonws; supervised pixel-based classification; unsupervised texture segmentation; supervised texture segmentation; 004

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APA (6th Edition):

Meléndez Rodríguez, J. C. (2010). Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification. (Thesis). Universitat Rovira i Virgili. Retrieved from http://hdl.handle.net/10803/8487

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Meléndez Rodríguez, Jaime Christian. “Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification.” 2010. Thesis, Universitat Rovira i Virgili. Accessed November 22, 2019. http://hdl.handle.net/10803/8487.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Meléndez Rodríguez, Jaime Christian. “Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification.” 2010. Web. 22 Nov 2019.

Vancouver:

Meléndez Rodríguez JC. Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification. [Internet] [Thesis]. Universitat Rovira i Virgili; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10803/8487.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Meléndez Rodríguez JC. Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification. [Thesis]. Universitat Rovira i Virgili; 2010. Available from: http://hdl.handle.net/10803/8487

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

28. Zhai, Yuanhao. Perceptual Image Similarity Metrics and Applications.

Degree: PhD, Electrical Engineering: Systems, 2015, University of Michigan

 This dissertation presents research in perceptual image similarity metrics and applications, e.g., content-based image retrieval, perceptual image compression, image similarity assessment and texture analysis. The… (more)

Subjects/Keywords: Texture and image similarity metric; Texture and image retrieval; Texture and image classification; Perceptual image compression; Subjective experiment; Bilevel image similarity; Electrical Engineering; Engineering

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APA (6th Edition):

Zhai, Y. (2015). Perceptual Image Similarity Metrics and Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113586

Chicago Manual of Style (16th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 22, 2019. http://hdl.handle.net/2027.42/113586.

MLA Handbook (7th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Web. 22 Nov 2019.

Vancouver:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2027.42/113586.

Council of Science Editors:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113586

29. Pham, Minh Tân. Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution.

Degree: Docteur es, Sciences et Technologies de l'Information et de la Communication, 2016, Télécom Bretagne

Ce travail de thèse propose une nouvelle approche ponctuelle pour l'analyse de texture dans l'imagerie de télédétection à très haute résolution (THR). Cette approche ne… (more)

Subjects/Keywords: Imagerie de télédétection; Analyse de texture; Approche ponctuelle; Théorie des graphes; Indexation de texture; Classification; Détection de changement; Remote sensing imagery; Texture analysis; Pointwise approach; Graph theory; Texture retrieval; Image classification; Change detection; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pham, M. T. (2016). Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution. (Doctoral Dissertation). Télécom Bretagne. Retrieved from http://www.theses.fr/2016TELB0403

Chicago Manual of Style (16th Edition):

Pham, Minh Tân. “Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution.” 2016. Doctoral Dissertation, Télécom Bretagne. Accessed November 22, 2019. http://www.theses.fr/2016TELB0403.

MLA Handbook (7th Edition):

Pham, Minh Tân. “Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution.” 2016. Web. 22 Nov 2019.

Vancouver:

Pham MT. Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution. [Internet] [Doctoral dissertation]. Télécom Bretagne; 2016. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2016TELB0403.

Council of Science Editors:

Pham MT. Pointwise approach for texture analysis and characterization from very high resolution remote sensing images : Approche ponctuelle pour l'analyse et la caractérisation de texture dans les images de télédétection à très haute résolution. [Doctoral Dissertation]. Télécom Bretagne; 2016. Available from: http://www.theses.fr/2016TELB0403

30. Rosu, Roxana Gabriela. Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture.

Degree: Docteur es, Automatique, Productique, Signal et Image, Ingénierie cognitique, 2018, Bordeaux

Cette thèse porte sur des canevas méthodologiques paramétriques pour la modélisation de champs de tenseurs de structure locaux (TSL) calculés sur des images texturées. Estimé… (more)

Subjects/Keywords: Tenseur de structure local; Métriques non-Euclidiennes; Modèles statistiques de matrices de covariance; Analyse de texture; Classification de texture; Synthèse; Local structure tensor; Non-Euclidean metrics; Covariance matrix statistical models; Texture analysis; Texture classification; Synthesis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rosu, R. G. (2018). Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2018BORD0102

Chicago Manual of Style (16th Edition):

Rosu, Roxana Gabriela. “Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture.” 2018. Doctoral Dissertation, Bordeaux. Accessed November 22, 2019. http://www.theses.fr/2018BORD0102.

MLA Handbook (7th Edition):

Rosu, Roxana Gabriela. “Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture.” 2018. Web. 22 Nov 2019.

Vancouver:

Rosu RG. Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture. [Internet] [Doctoral dissertation]. Bordeaux; 2018. [cited 2019 Nov 22]. Available from: http://www.theses.fr/2018BORD0102.

Council of Science Editors:

Rosu RG. Parametric approaches for modelling local structure tensor fields with applications to texture analysis : Approches paramétriques pour la modélisation de champs de tenseurs de structure locaux et applications en analyse de texture. [Doctoral Dissertation]. Bordeaux; 2018. Available from: http://www.theses.fr/2018BORD0102

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