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You searched for subject:(Texture AND image classification). Showing records 1 – 30 of 211 total matches.

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1. 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 September 25, 2020. 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. 25 Sep 2020.

Vancouver:

Venkateswarlu Y. Image texture classification methods based on statistical approaches;. [Internet] [Thesis]. Acharya Nagarjuna University; 2012. [cited 2020 Sep 25]. 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

2. 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 (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 September 25, 2020. 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. 25 Sep 2020.

Vancouver:

Nguyen VL. Approches complémentaires pour une classification efficace des textures : Complementary Approaches for Efficient Texture Classification. [Internet] [Doctoral dissertation]. Cergy-Pontoise; 2018. [cited 2020 Sep 25]. 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


New Jersey Institute of Technology

3. 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 (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 September 25, 2020. 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. 25 Sep 2020.

Vancouver:

Banerji S. Novel color and local image descriptors for content-based image search. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2013. [cited 2020 Sep 25]. 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


University of Michigan

4. 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 September 25, 2020. http://hdl.handle.net/2027.42/113586.

MLA Handbook (7th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Web. 25 Sep 2020.

Vancouver:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 25]. 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


Université de Sherbrooke

5. Safia, Abdelmounaime. Développement d’un modèle d’analyse de texture multibande: New model for multiband texture analysis.

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 (6th Edition):

Safia, A. (2015). Développement d’un modèle d’analyse de texture multibande: New model for multiband texture analysis. (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: New model for multiband texture analysis.” 2015. Doctoral Dissertation, Université de Sherbrooke. Accessed September 25, 2020. http://hdl.handle.net/11143/5990.

MLA Handbook (7th Edition):

Safia, Abdelmounaime. “Développement d’un modèle d’analyse de texture multibande: New model for multiband texture analysis.” 2015. Web. 25 Sep 2020.

Vancouver:

Safia A. Développement d’un modèle d’analyse de texture multibande: New model for multiband texture analysis. [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/11143/5990.

Council of Science Editors:

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


Anna University

6. 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 (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 September 25, 2020. 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. 25 Sep 2020.

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 2020 Sep 25]. 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


Loughborough University

7. 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 (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 September 25, 2020. 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. 25 Sep 2020.

Vancouver:

Doshi NP. Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2020 Sep 25]. 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 Melbourne

8. 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 (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 September 25, 2020. http://hdl.handle.net/11343/36426.

MLA Handbook (7th Edition):

GARNAVI, RAHIL. “Computer-aided diagnosis of melanoma.” 2011. Web. 25 Sep 2020.

Vancouver:

GARNAVI R. Computer-aided diagnosis of melanoma. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Sep 25]. 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

9. 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 September 25, 2020. 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. 25 Sep 2020.

Vancouver:

Kiran JS. Novel approaches of texture feature extraction for image classification and recognition;. [Internet] [Thesis]. University of Mysore; 2013. [cited 2020 Sep 25]. 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

10. 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 September 25, 2020. 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. 25 Sep 2020.

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 2020 Sep 25]. 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


University of Oxford

11. Cimpoi, Mircea. Recognizing describable attributes of textures and materials in the wild and clutter.

Degree: PhD, 2015, University of Oxford

 Visual textures play an important role in image understanding because theyare a key component of the semantic of many images. Furthermore, texture representations, which pool… (more)

Subjects/Keywords: 006.3; Image understanding; Information engineering; Computer Vision; Texture Understanding; Material Recognition; Image Classification

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APA (6th Edition):

Cimpoi, M. (2015). Recognizing describable attributes of textures and materials in the wild and clutter. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:805cb25c-61b4-4c84-9abf-c82ea2b64495 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664833

Chicago Manual of Style (16th Edition):

Cimpoi, Mircea. “Recognizing describable attributes of textures and materials in the wild and clutter.” 2015. Doctoral Dissertation, University of Oxford. Accessed September 25, 2020. http://ora.ox.ac.uk/objects/uuid:805cb25c-61b4-4c84-9abf-c82ea2b64495 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664833.

MLA Handbook (7th Edition):

Cimpoi, Mircea. “Recognizing describable attributes of textures and materials in the wild and clutter.” 2015. Web. 25 Sep 2020.

Vancouver:

Cimpoi M. Recognizing describable attributes of textures and materials in the wild and clutter. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2020 Sep 25]. Available from: http://ora.ox.ac.uk/objects/uuid:805cb25c-61b4-4c84-9abf-c82ea2b64495 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664833.

Council of Science Editors:

Cimpoi M. Recognizing describable attributes of textures and materials in the wild and clutter. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:805cb25c-61b4-4c84-9abf-c82ea2b64495 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664833


Université Montpellier II

12. 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 September 25, 2020. 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. 25 Sep 2020.

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 2020 Sep 25]. 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

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

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 September 25, 2020. http://www.theses.fr/2016TOU30069.

MLA Handbook (7th Edition):

Wang, Yan. “Détection des changements à partir de photographies : Change detection from photographs.” 2016. Web. 25 Sep 2020.

Vancouver:

Wang Y. Détection des changements à partir de photographies : Change detection from photographs. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2020 Sep 25]. 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


University of Oulu

14. Ojansivu, V. (Ville). Blur invariant pattern recognition and registration in the Fourier domain.

Degree: 2009, University of Oulu

 Abstract Pattern recognition and registration are integral elements of computer vision, which considers image patterns. This thesis presents novel blur, and combined blur and geometric… (more)

Subjects/Keywords: bispectrum; blur invariant features; computer vision; image alignment; image blur; image registration; object recognition; pattern classification; texture analysis

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APA (6th Edition):

Ojansivu, V. (. (2009). Blur invariant pattern recognition and registration in the Fourier domain. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514292552

Chicago Manual of Style (16th Edition):

Ojansivu, V (Ville). “Blur invariant pattern recognition and registration in the Fourier domain.” 2009. Doctoral Dissertation, University of Oulu. Accessed September 25, 2020. http://urn.fi/urn:isbn:9789514292552.

MLA Handbook (7th Edition):

Ojansivu, V (Ville). “Blur invariant pattern recognition and registration in the Fourier domain.” 2009. Web. 25 Sep 2020.

Vancouver:

Ojansivu V(. Blur invariant pattern recognition and registration in the Fourier domain. [Internet] [Doctoral dissertation]. University of Oulu; 2009. [cited 2020 Sep 25]. Available from: http://urn.fi/urn:isbn:9789514292552.

Council of Science Editors:

Ojansivu V(. Blur invariant pattern recognition and registration in the Fourier domain. [Doctoral Dissertation]. University of Oulu; 2009. Available from: http://urn.fi/urn:isbn:9789514292552


University of Cambridge

15. guo, wenkai. Remote sensing characterisation of the forest-tundra ecotone.

Degree: PhD, 2019, University of Cambridge

 The transition zone between the boreal forest and Arctic tundra, the Forest-tundra ecotone (FTE), is an area of high ecological and climatological significance. Satellite remote… (more)

Subjects/Keywords: remote sensing; forest-tundra ecotone; vegetation continuous fields; texture analysis; image classification; google earth engine

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

APA (6th Edition):

guo, w. (2019). Remote sensing characterisation of the forest-tundra ecotone. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/297659

Chicago Manual of Style (16th Edition):

guo, wenkai. “Remote sensing characterisation of the forest-tundra ecotone.” 2019. Doctoral Dissertation, University of Cambridge. Accessed September 25, 2020. https://www.repository.cam.ac.uk/handle/1810/297659.

MLA Handbook (7th Edition):

guo, wenkai. “Remote sensing characterisation of the forest-tundra ecotone.” 2019. Web. 25 Sep 2020.

Vancouver:

guo w. Remote sensing characterisation of the forest-tundra ecotone. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Sep 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/297659.

Council of Science Editors:

guo w. Remote sensing characterisation of the forest-tundra ecotone. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/297659

16. 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 September 25, 2020. 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. 25 Sep 2020.

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 2020 Sep 25]. 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


Universiteit Utrecht

17. Huisman, André. 3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy.

Degree: 2007, Universiteit Utrecht

 The transformation of a normal cell into a malignant cell is associated with genetic alterations that often result in abnormal chromosome sets (“aneuploidy”) and changes… (more)

Subjects/Keywords: Geneeskunde; confocal laser scanning microscopy; prostate cancer; texture features; 3-D; image processing; classification; racial differences

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APA (6th Edition):

Huisman, A. (2007). 3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/19080

Chicago Manual of Style (16th Edition):

Huisman, André. “3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy.” 2007. Doctoral Dissertation, Universiteit Utrecht. Accessed September 25, 2020. http://dspace.library.uu.nl:8080/handle/1874/19080.

MLA Handbook (7th Edition):

Huisman, André. “3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy.” 2007. Web. 25 Sep 2020.

Vancouver:

Huisman A. 3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2007. [cited 2020 Sep 25]. Available from: http://dspace.library.uu.nl:8080/handle/1874/19080.

Council of Science Editors:

Huisman A. 3-D Nuclear chromatin texture analysis using confocal laser scanning microscopy. [Doctoral Dissertation]. Universiteit Utrecht; 2007. Available from: http://dspace.library.uu.nl:8080/handle/1874/19080


Univerzitet u Beogradu

18. Slavković, Nikola, 1969-, 54625289. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.

Degree: Elektrotehnički fakultet, 2020, Univerzitet u Beogradu

Telekomunikacije -Veštačka inteligencija / Telecommunications - Artificial intelligence

U ovoj disertaciji razvijen je algoritam za predikciju rizika proklizavanja vozila, čime je omogućeno mapiranje rizičnih zona… (more)

Subjects/Keywords: surface texture; image processing; feature extraction; temperature; classification algorithm; risk analysis; prediction algorithm; autonomous driving; road safety

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APA (6th Edition):

Slavković, Nikola, 1969-, 5. (2020). Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get

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):

Slavković, Nikola, 1969-, 54625289. “Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.” 2020. Thesis, Univerzitet u Beogradu. Accessed September 25, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get.

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

MLA Handbook (7th Edition):

Slavković, Nikola, 1969-, 54625289. “Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture.” 2020. Web. 25 Sep 2020.

Vancouver:

Slavković, Nikola, 1969- 5. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. [Internet] [Thesis]. Univerzitet u Beogradu; 2020. [cited 2020 Sep 25]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get.

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

Council of Science Editors:

Slavković, Nikola, 1969- 5. Detekcija promene sastava i geometrije puta obradom izmerenih parametara za potrebe kategorizacije putne infrastrukture. [Thesis]. Univerzitet u Beogradu; 2020. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:22310/bdef:Content/get

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


Virginia Tech

19. Zhao, Yuedong. A color identification system based on class-oriented adaptive color space quantization.

Degree: MS, Electrical Engineering, 1996, Virginia Tech

Subjects/Keywords: color; quantization; classification; image; texture; LD5655.V855 1996.Z438

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

APA (6th Edition):

Zhao, Y. (1996). A color identification system based on class-oriented adaptive color space quantization. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/44359

Chicago Manual of Style (16th Edition):

Zhao, Yuedong. “A color identification system based on class-oriented adaptive color space quantization.” 1996. Masters Thesis, Virginia Tech. Accessed September 25, 2020. http://hdl.handle.net/10919/44359.

MLA Handbook (7th Edition):

Zhao, Yuedong. “A color identification system based on class-oriented adaptive color space quantization.” 1996. Web. 25 Sep 2020.

Vancouver:

Zhao Y. A color identification system based on class-oriented adaptive color space quantization. [Internet] [Masters thesis]. Virginia Tech; 1996. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10919/44359.

Council of Science Editors:

Zhao Y. A color identification system based on class-oriented adaptive color space quantization. [Masters Thesis]. Virginia Tech; 1996. Available from: http://hdl.handle.net/10919/44359

20. Muhammad, Imran. Colorizing Grey Scale Images.

Degree: Computer Engineering, 2011, Dalarna University

  The purpose of this thesis is to develop a working methodology to color a grey scale image. This thesis is based on approach of… (more)

Subjects/Keywords: color image; grey image; color transfer; texture analysis; clustering texture

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APA (6th Edition):

Muhammad, I. (2011). Colorizing Grey Scale Images. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181

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):

Muhammad, Imran. “Colorizing Grey Scale Images.” 2011. Thesis, Dalarna University. Accessed September 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.

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

MLA Handbook (7th Edition):

Muhammad, Imran. “Colorizing Grey Scale Images.” 2011. Web. 25 Sep 2020.

Vancouver:

Muhammad I. Colorizing Grey Scale Images. [Internet] [Thesis]. Dalarna University; 2011. [cited 2020 Sep 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.

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

Council of Science Editors:

Muhammad I. Colorizing Grey Scale Images. [Thesis]. Dalarna University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181

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


Georgia Tech

21. Gonzalez Rosiles, Jose Gerardo. Image and Texture Analysis using Biorthogonal Angular Filter Banks.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 In this thesis we develop algorithms for the processing of textures and images using a ladder-based biorthogonal directional filter bank (DFB). This work is based… (more)

Subjects/Keywords: Directional filter banks; Image analysis; Image processing; Texture analysis; Image compression; SAR image processing; Texture synthesis; Segmentation; Classification

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

APA (6th Edition):

Gonzalez Rosiles, J. G. (2004). Image and Texture Analysis using Biorthogonal Angular Filter Banks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5042

Chicago Manual of Style (16th Edition):

Gonzalez Rosiles, Jose Gerardo. “Image and Texture Analysis using Biorthogonal Angular Filter Banks.” 2004. Doctoral Dissertation, Georgia Tech. Accessed September 25, 2020. http://hdl.handle.net/1853/5042.

MLA Handbook (7th Edition):

Gonzalez Rosiles, Jose Gerardo. “Image and Texture Analysis using Biorthogonal Angular Filter Banks.” 2004. Web. 25 Sep 2020.

Vancouver:

Gonzalez Rosiles JG. Image and Texture Analysis using Biorthogonal Angular Filter Banks. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1853/5042.

Council of Science Editors:

Gonzalez Rosiles JG. Image and Texture Analysis using Biorthogonal Angular Filter Banks. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/5042

22. Shalev, Ronny Y. AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Degree: PhD, EECS - Electrical Engineering, 2016, Case Western Reserve University School of Graduate Studies

 Coronary artery disease (CAD) is the leading cause of death in the world. Most acute coronary events (e.g. heart attacks) are due to the rupture… (more)

Subjects/Keywords: Medical Imaging; Computer Science; Artificial Intelligence; Machine learning, support vector machine, texture classification, SVM, Image Processing, optical coherence tomography, plaque classification, calcium classification, intracoronary plaque, intravascular, OCT, CAD

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

APA (6th Edition):

Shalev, R. Y. (2016). AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1458818445

Chicago Manual of Style (16th Edition):

Shalev, Ronny Y. “AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES.” 2016. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed September 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1458818445.

MLA Handbook (7th Edition):

Shalev, Ronny Y. “AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES.” 2016. Web. 25 Sep 2020.

Vancouver:

Shalev RY. AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2016. [cited 2020 Sep 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1458818445.

Council of Science Editors:

Shalev RY. AUTOMATED MACHINE LEARNING BASED ANALYSIS OF INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1458818445


Anna University

23. Wiselin Jiji, G. Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -.

Degree: Information and Communication Engineering, 2014, Anna University

Texture Analysis plays an important role in many tasks ranging from remote sensing to medical image analysis The main difficulty of texture analysis in the… (more)

Subjects/Keywords: Colour texture analysis; Fuzzy texture spectrum; Information and communication engineering; Medical image; Texture spectrum scheme

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

APA (6th Edition):

Wiselin Jiji, G. (2014). Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26987

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):

Wiselin Jiji, G. “Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -.” 2014. Thesis, Anna University. Accessed September 25, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/26987.

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

MLA Handbook (7th Edition):

Wiselin Jiji, G. “Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -.” 2014. Web. 25 Sep 2020.

Vancouver:

Wiselin Jiji G. Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26987.

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

Council of Science Editors:

Wiselin Jiji G. Study of colour texture analysis using fuzzy texture spectrum along with medical applications; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26987

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

24. Χριστούλας, Γεώργιος. Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις.

Degree: 2012, University of Patras

Η παρούσα διατριβή είχε σαν κύριο στόχο την ανάλυση και επεξεργασία των δεδομένων SAR υπό το πρίσμα του περιεχομένου υφής για την ανίχνευση περιοχών με… (more)

Subjects/Keywords: Ανάλυση και επεξεργασία δεδομένων SAR; Ταξινόμηση σύστασης; Πολυφασματική ταξινόμηση εικόνας; 621.367 8; SAR processing; Texture classification; Multispectral image classification; Spectral co-occurrence matrices

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

APA (6th Edition):

Χριστούλας, . (2012). Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/5312

Chicago Manual of Style (16th Edition):

Χριστούλας, Γεώργιος. “Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις.” 2012. Doctoral Dissertation, University of Patras. Accessed September 25, 2020. http://hdl.handle.net/10889/5312.

MLA Handbook (7th Edition):

Χριστούλας, Γεώργιος. “Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις.” 2012. Web. 25 Sep 2020.

Vancouver:

Χριστούλας . Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις. [Internet] [Doctoral dissertation]. University of Patras; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10889/5312.

Council of Science Editors:

Χριστούλας . Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις. [Doctoral Dissertation]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5312


Université de Sherbrooke

25. Mondésir, Jacques Philémon. Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar).

Degree: 2016, Université de Sherbrooke

 Abstract : Texture has a good discriminating power which complements the radiometric parameters in the image classification process. The index Compact Texture Unit multiband, recently… (more)

Subjects/Keywords: Traitement d'images; Texture; CTU-multibande; Fusion; Données multisources; Classification orientée-objet; Occupation du sol; Image processing; CTU-multiband; Data merging; Objected-oriented classification; Land cover mapping

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

APA (6th Edition):

Mondésir, J. P. (2016). Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar). (Masters Thesis). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/9706

Chicago Manual of Style (16th Edition):

Mondésir, Jacques Philémon. “Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar).” 2016. Masters Thesis, Université de Sherbrooke. Accessed September 25, 2020. http://hdl.handle.net/11143/9706.

MLA Handbook (7th Edition):

Mondésir, Jacques Philémon. “Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar).” 2016. Web. 25 Sep 2020.

Vancouver:

Mondésir JP. Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar). [Internet] [Masters thesis]. Université de Sherbrooke; 2016. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/11143/9706.

Council of Science Editors:

Mondésir JP. Apports de la texture multibande dans la classification orientée-objets d'images multisources (optique et radar).: Contributions of texture "multiband" in object-oriented classification of multisource imagery (optics and radar). [Masters Thesis]. Université de Sherbrooke; 2016. Available from: http://hdl.handle.net/11143/9706


Anna University

26. Sujaritha M. Quaternion representation of color and texture integration based image segmentation approaches.

Degree: 2013, Anna University

Image segmentation is one of the most investigated subjects in the field of computer vision since it plays a crucial role in the development of… (more)

Subjects/Keywords: Quaternion; texture integration; image segmentation approaches

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

APA (6th Edition):

M, S. (2013). Quaternion representation of color and texture integration based image segmentation approaches. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13804

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):

M, Sujaritha. “Quaternion representation of color and texture integration based image segmentation approaches.” 2013. Thesis, Anna University. Accessed September 25, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/13804.

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

MLA Handbook (7th Edition):

M, Sujaritha. “Quaternion representation of color and texture integration based image segmentation approaches.” 2013. Web. 25 Sep 2020.

Vancouver:

M S. Quaternion representation of color and texture integration based image segmentation approaches. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Sep 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13804.

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

Council of Science Editors:

M S. Quaternion representation of color and texture integration based image segmentation approaches. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13804

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


Oklahoma State University

27. Siddalinga Swamy, Darshan. Quality Assessment of Synthesized Textures.

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

 Yet, despite the advancements in texture modeling and synthesis, much less effort has been focused on developing algorithms for assessing the visual quality of synthesized… (more)

Subjects/Keywords: digital image processing; quality assessment; texture synthesis

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

APA (6th Edition):

Siddalinga Swamy, D. (2011). Quality Assessment of Synthesized Textures. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10275

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):

Siddalinga Swamy, Darshan. “Quality Assessment of Synthesized Textures.” 2011. Thesis, Oklahoma State University. Accessed September 25, 2020. http://hdl.handle.net/11244/10275.

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

MLA Handbook (7th Edition):

Siddalinga Swamy, Darshan. “Quality Assessment of Synthesized Textures.” 2011. Web. 25 Sep 2020.

Vancouver:

Siddalinga Swamy D. Quality Assessment of Synthesized Textures. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/11244/10275.

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

Council of Science Editors:

Siddalinga Swamy D. Quality Assessment of Synthesized Textures. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/10275

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

28. Tarando, Sebastian Roberto. Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond.

Degree: Docteur es, Signal et images, 2018, Evry, Institut national des télécommunications

Les pathologies infiltrantes diffuses recensent un large groupe de désordres pulmonaires et nécessitent un suivi régulier en imagerie tomodensitométrique (TDM). Une évaluation quantitative est nécessaire… (more)

Subjects/Keywords: Apprentissage profond; Réseaux neuronaux convolutionnels; Filtrage localement connexe; Pathologie pulmonaire infiltrante; Classification de texture; Segmentation d'image; Deep learning; Convolutional neural networks; Locally connected filtering; Infiltrative lung disease; Texture classification; Image segmentation

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

APA (6th Edition):

Tarando, S. R. (2018). Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2018TELE0008

Chicago Manual of Style (16th Edition):

Tarando, Sebastian Roberto. “Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond.” 2018. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed September 25, 2020. http://www.theses.fr/2018TELE0008.

MLA Handbook (7th Edition):

Tarando, Sebastian Roberto. “Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond.” 2018. Web. 25 Sep 2020.

Vancouver:

Tarando SR. Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2018. [cited 2020 Sep 25]. Available from: http://www.theses.fr/2018TELE0008.

Council of Science Editors:

Tarando SR. Quantitative follow-up of pulmonary diseases using deep learning models : Suivi quantitatif de pathologies pulmonaires à base de modèles d'apprentissage profond. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2018. Available from: http://www.theses.fr/2018TELE0008

29. Thalita Biazzuz Veronese. Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo.

Degree: 2007, Instituto Nacional de Pesquisas Espaciais

Ao longo das últimas décadas, diversas técnicas tem sido desenvolvidas para classificação de imagens de sensoriamento remoto. No caso de imagens geradas por sensores que… (more)

Subjects/Keywords: computação aplicada; imagens SAR; atributos de texturas; filtros gabor; classificação de imagens; processamento paralelo; SAR images; texture features; gabor filters; image classification; parallel processing

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

APA (6th Edition):

Veronese, T. B. (2007). Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo. (Thesis). Instituto Nacional de Pesquisas Espaciais. Retrieved from http://urlib.net/sid.inpe.br/[email protected]/2007/04.11.13.32

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):

Veronese, Thalita Biazzuz. “Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo.” 2007. Thesis, Instituto Nacional de Pesquisas Espaciais. Accessed September 25, 2020. http://urlib.net/sid.inpe.br/[email protected]/2007/04.11.13.32.

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

MLA Handbook (7th Edition):

Veronese, Thalita Biazzuz. “Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo.” 2007. Web. 25 Sep 2020.

Vancouver:

Veronese TB. Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2007. [cited 2020 Sep 25]. Available from: http://urlib.net/sid.inpe.br/[email protected]/2007/04.11.13.32.

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

Council of Science Editors:

Veronese TB. Aplicação de mapa de Kohonen para classificação de texturas em imagens SAR em ambiente paralelo. [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2007. Available from: http://urlib.net/sid.inpe.br/[email protected]/2007/04.11.13.32

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


University of Oulu

30. Ylioinas, J. (Juha). Towards optimal local binary patterns in texture and face description.

Degree: 2016, University of Oulu

Abstract Local binary patterns (LBP) are among the most popular image description methods and have been successfully applied in a diverse set of computer vision… (more)

Subjects/Keywords: computer vision; face recognition; image descriptors; local binary pattern derivatives; local binary patterns; texture classification; kasvojentunnistus; konenäkö; paikalliset binäärikuviot; paikallisten binäärikuvioiden johdannaiset; piirteenirrotus; tekstuurien luokittelu

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

APA (6th Edition):

Ylioinas, J. (. (2016). Towards optimal local binary patterns in texture and face description. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526214498

Chicago Manual of Style (16th Edition):

Ylioinas, J (Juha). “Towards optimal local binary patterns in texture and face description.” 2016. Doctoral Dissertation, University of Oulu. Accessed September 25, 2020. http://urn.fi/urn:isbn:9789526214498.

MLA Handbook (7th Edition):

Ylioinas, J (Juha). “Towards optimal local binary patterns in texture and face description.” 2016. Web. 25 Sep 2020.

Vancouver:

Ylioinas J(. Towards optimal local binary patterns in texture and face description. [Internet] [Doctoral dissertation]. University of Oulu; 2016. [cited 2020 Sep 25]. Available from: http://urn.fi/urn:isbn:9789526214498.

Council of Science Editors:

Ylioinas J(. Towards optimal local binary patterns in texture and face description. [Doctoral Dissertation]. University of Oulu; 2016. Available from: http://urn.fi/urn:isbn:9789526214498

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