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

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Dalhousie University

1. HE, DAAN. Three new methods for color and texture based image matching in Content-Based Image Retrieval.

Degree: PhD, Faculty of Computer Science, 2010, Dalhousie University

Image matching is an important and necessary process in Content-Based Image Retrieval (CBIR). We propose three new methods for image matching: the first one is… (more)

Subjects/Keywords: Image matching; , Content-Based Image Retrieval; Color; Texture

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

APA (6th Edition):

HE, D. (2010). Three new methods for color and texture based image matching in Content-Based Image Retrieval. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/12817

Chicago Manual of Style (16th Edition):

HE, DAAN. “Three new methods for color and texture based image matching in Content-Based Image Retrieval.” 2010. Doctoral Dissertation, Dalhousie University. Accessed September 20, 2020. http://hdl.handle.net/10222/12817.

MLA Handbook (7th Edition):

HE, DAAN. “Three new methods for color and texture based image matching in Content-Based Image Retrieval.” 2010. Web. 20 Sep 2020.

Vancouver:

HE D. Three new methods for color and texture based image matching in Content-Based Image Retrieval. [Internet] [Doctoral dissertation]. Dalhousie University; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10222/12817.

Council of Science Editors:

HE D. Three new methods for color and texture based image matching in Content-Based Image Retrieval. [Doctoral Dissertation]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/12817


Anna University

2. Grace Selvarani A. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.

Degree: 2013, Anna University

Content-based image retrieval (CBIR) is a technique of searching the images based on the content of the image. CBIR is a promising technology to enrich… (more)

Subjects/Keywords: Content based image retrieval; Picture archiving and communication systems; medical image retrieval system; texture; semantic

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APA (6th Edition):

A, G. S. (2013). Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/11690

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):

A, Grace Selvarani. “Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.” 2013. Thesis, Anna University. Accessed September 20, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/11690.

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

MLA Handbook (7th Edition):

A, Grace Selvarani. “Certain analysis on content based medical image retrieval system using shape texture semantic and visual features.” 2013. Web. 20 Sep 2020.

Vancouver:

A GS. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Sep 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11690.

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

Council of Science Editors:

A GS. Certain analysis on content based medical image retrieval system using shape texture semantic and visual features. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11690

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


University of Michigan

3. 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 20, 2020. http://hdl.handle.net/2027.42/113586.

MLA Handbook (7th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Web. 20 Sep 2020.

Vancouver:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Sep 20]. 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

4. 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 20, 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. 20 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 20]. 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

5. 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 20, 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. 20 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 20]. 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

6. Oerlemans, Adrianus Antonius Johannes. Content-based retrieval of visual information.

Degree: 2011, Leiden Institute for Advanced Computer Sciences (LIACS), Faculty of Science, Leiden University

 In this dissertation, I investigate new approaches relevant to content-based image retrieval techniques. First, the MOD paradigm is proposed, a method for detecting salient points… (more)

Subjects/Keywords: Content-based image retrieval; Salient points; Similarity measures; Texture classification; Video analysis; Content-based image retrieval; Salient points; Similarity measures; Texture classification; Video analysis

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

APA (6th Edition):

Oerlemans, A. A. J. (2011). Content-based retrieval of visual information. (Doctoral Dissertation). Leiden Institute for Advanced Computer Sciences (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/18269

Chicago Manual of Style (16th Edition):

Oerlemans, Adrianus Antonius Johannes. “Content-based retrieval of visual information.” 2011. Doctoral Dissertation, Leiden Institute for Advanced Computer Sciences (LIACS), Faculty of Science, Leiden University. Accessed September 20, 2020. http://hdl.handle.net/1887/18269.

MLA Handbook (7th Edition):

Oerlemans, Adrianus Antonius Johannes. “Content-based retrieval of visual information.” 2011. Web. 20 Sep 2020.

Vancouver:

Oerlemans AAJ. Content-based retrieval of visual information. [Internet] [Doctoral dissertation]. Leiden Institute for Advanced Computer Sciences (LIACS), Faculty of Science, Leiden University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1887/18269.

Council of Science Editors:

Oerlemans AAJ. Content-based retrieval of visual information. [Doctoral Dissertation]. Leiden Institute for Advanced Computer Sciences (LIACS), Faculty of Science, Leiden University; 2011. Available from: http://hdl.handle.net/1887/18269

7. 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 20, 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. 20 Sep 2020.

Vancouver:

Muhammad I. Colorizing Grey Scale Images. [Internet] [Thesis]. Dalarna University; 2011. [cited 2020 Sep 20]. 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


Anna University

8. 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 (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 20, 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. 20 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 20]. 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

9. 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 20, 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. 20 Sep 2020.

Vancouver:

Venkateswarlu Y. Image texture classification methods based on statistical approaches;. [Internet] [Thesis]. Acharya Nagarjuna University; 2012. [cited 2020 Sep 20]. 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


Anna University

10. 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 (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 20, 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. 20 Sep 2020.

Vancouver:

M S. Quaternion representation of color and texture integration based image segmentation approaches. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Sep 20]. 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

11. 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 (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 20, 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. 20 Sep 2020.

Vancouver:

Siddalinga Swamy D. Quality Assessment of Synthesized Textures. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2020 Sep 20]. 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


Université de Bordeaux I

12. Lasmar, Nour-Eddine. Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application.

Degree: Docteur es, Signal et image, 2012, Université de Bordeaux I

Le travail présenté dans cette thèse s’inscrit dans le cadre de la modélisation d’images texturées à l’aide des représentations multi-échelles et multi-orientations. Partant des résultats… (more)

Subjects/Keywords: Analyse des textures; Modélisation univariée; Modélisation multivariée; Transformées en ondelettes; Recherche d’images par le contenu; Classification; Tests d'adéquation; Texture Analysis; Univariate modeling; Multivariate modeling; Wavelet transforms; Content based image retrieval; Classification; Goodness of fit tests

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

APA (6th Edition):

Lasmar, N. (2012). Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2012BOR14639

Chicago Manual of Style (16th Edition):

Lasmar, Nour-Eddine. “Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application.” 2012. Doctoral Dissertation, Université de Bordeaux I. Accessed September 20, 2020. http://www.theses.fr/2012BOR14639.

MLA Handbook (7th Edition):

Lasmar, Nour-Eddine. “Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application.” 2012. Web. 20 Sep 2020.

Vancouver:

Lasmar N. Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2012. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2012BOR14639.

Council of Science Editors:

Lasmar N. Modélisation stochastique pour l’analyse d’images texturées : approches Bayésiennes pour la caractérisation dans le domaine des transformées : Design of reconfigurable power amplifiers in CMOS technology dedicated to 4G LTE application. [Doctoral Dissertation]. Université de Bordeaux I; 2012. Available from: http://www.theses.fr/2012BOR14639

13. Lundstedt, Magnus. Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata.

Degree: Faculty of Science and Technology, 2009, Uppsala University

  Multimedia retrieval systems are very important today with millions of content creators all over the world generating huge multimedia archives. Recent developments allows for… (more)

Subjects/Keywords: image retrieval; geographic metadata; histogram; texture; dbscan; vector quantization; color spaces; meda database

…to implement and use histogram similarity measures vs. texture based image similarity… …was created, in the retrieval process. 1.2 Problem description When a image archive… …possible to use this to improve image retrieval efficiency. On the other hand, some images might… …precise image retrieval technologies is of essence / importance. In this report we will study… …using GPS 2 coordinates associated with the media. 1.6.1 Image retrieval Currently, most… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Lundstedt, M. (2009). Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865

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):

Lundstedt, Magnus. “Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata.” 2009. Thesis, Uppsala University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865.

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

MLA Handbook (7th Edition):

Lundstedt, Magnus. “Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata.” 2009. Web. 20 Sep 2020.

Vancouver:

Lundstedt M. Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata. [Internet] [Thesis]. Uppsala University; 2009. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865.

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

Council of Science Editors:

Lundstedt M. Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata. [Thesis]. Uppsala University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865

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


Georgia Tech

14. Kalmegh, Prajakta. Image mining methodologies for content based retrieval.

Degree: MS, Computing, 2010, Georgia Tech

 The thesis presents a system for content based image retrieval and mining. The research presents a design of a scalable solution for efficient retrieval of… (more)

Subjects/Keywords: Search; Database; Index; ORDImage; Content; MPEG-7; Image; Mining; Texture; Color; Shape; Retrieval; Multimedia; Oracle; Cluster; Data mining; Database management; Image processing

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

APA (6th Edition):

Kalmegh, P. (2010). Image mining methodologies for content based retrieval. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39587

Chicago Manual of Style (16th Edition):

Kalmegh, Prajakta. “Image mining methodologies for content based retrieval.” 2010. Masters Thesis, Georgia Tech. Accessed September 20, 2020. http://hdl.handle.net/1853/39587.

MLA Handbook (7th Edition):

Kalmegh, Prajakta. “Image mining methodologies for content based retrieval.” 2010. Web. 20 Sep 2020.

Vancouver:

Kalmegh P. Image mining methodologies for content based retrieval. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1853/39587.

Council of Science Editors:

Kalmegh P. Image mining methodologies for content based retrieval. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/39587


New Jersey Institute of Technology

15. 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 September 20, 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. 20 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 20]. 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

16. V. Asha. Texture defect detection through periodicity extraction;.

Degree: 2012, University of Mysore

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Advisors/Committee Members: Bhajantri, Nagappa U..

Subjects/Keywords: Motivation; Natural texture image; Synthetic texture image

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

APA (6th Edition):

Asha, V. (2012). Texture defect detection through periodicity extraction;. (Thesis). University of Mysore. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35956

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):

Asha, V.. “Texture defect detection through periodicity extraction;.” 2012. Thesis, University of Mysore. Accessed September 20, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/35956.

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

MLA Handbook (7th Edition):

Asha, V.. “Texture defect detection through periodicity extraction;.” 2012. Web. 20 Sep 2020.

Vancouver:

Asha V. Texture defect detection through periodicity extraction;. [Internet] [Thesis]. University of Mysore; 2012. [cited 2020 Sep 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35956.

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

Council of Science Editors:

Asha V. Texture defect detection through periodicity extraction;. [Thesis]. University of Mysore; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35956

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

17. Orczyk, Clément. Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration.

Degree: Docteur es, Recherche clinique, innovation technologique, sante publique, 2017, Normandie

Dénommée multiparamétrique par adjonction de séquences fonctionnelle aux conventionnelles, L’IRM de prostate a montré ses performances pour la détection du cancer de prostate par un… (more)

Subjects/Keywords: Recalage; Analyse de texture; Prostate cancer; Magnetic resonance imaging; Biopsy; Image processing; Image registration; Texture analysis

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

APA (6th Edition):

Orczyk, C. (2017). Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration. (Doctoral Dissertation). Normandie. Retrieved from http://www.theses.fr/2017NORMC405

Chicago Manual of Style (16th Edition):

Orczyk, Clément. “Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration.” 2017. Doctoral Dissertation, Normandie. Accessed September 20, 2020. http://www.theses.fr/2017NORMC405.

MLA Handbook (7th Edition):

Orczyk, Clément. “Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration.” 2017. Web. 20 Sep 2020.

Vancouver:

Orczyk C. Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration. [Internet] [Doctoral dissertation]. Normandie; 2017. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2017NORMC405.

Council of Science Editors:

Orczyk C. Modélisation du cancer de la prostate par l'imagerie : détection, stratification, planning thérapeutique et suivi en 3D d'une thérapie focale basés sur le recalage-fusion d'image en multi modalité : Modelling prostate cancer using MRI : detection, risk stratification, 3D therapeutic planning and follow up of focal therapy based on image processing and co-registration. [Doctoral Dissertation]. Normandie; 2017. Available from: http://www.theses.fr/2017NORMC405

18. 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 September 20, 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. 20 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 20]. 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

19. Honda, Marcelo Ossamu. Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas.

Degree: Mestrado, Engenharia Elétrica, 2001, University of São Paulo

Este trabalho apresenta o estudo e implementação de um banco de conhecimentos para auxiliar o diagnóstico de lesões da mama por inspeção visual, permitindo ao… (more)

Subjects/Keywords: Atributos de textura; Computer aided diagnosis; Content-based image retrieval; Diagnóstico auxiliado por computador; Recuperação de imagens baseada em conteúdo; Texture features

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

APA (6th Edition):

Honda, M. O. (2001). Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18133/tde-16102015-103919/ ;

Chicago Manual of Style (16th Edition):

Honda, Marcelo Ossamu. “Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas.” 2001. Masters Thesis, University of São Paulo. Accessed September 20, 2020. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-16102015-103919/ ;.

MLA Handbook (7th Edition):

Honda, Marcelo Ossamu. “Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas.” 2001. Web. 20 Sep 2020.

Vancouver:

Honda MO. Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas. [Internet] [Masters thesis]. University of São Paulo; 2001. [cited 2020 Sep 20]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18133/tde-16102015-103919/ ;.

Council of Science Editors:

Honda MO. Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas. [Masters Thesis]. University of São Paulo; 2001. Available from: http://www.teses.usp.br/teses/disponiveis/18/18133/tde-16102015-103919/ ;

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

Degree: 2013, University of Mysore

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

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 20, 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. 20 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 20]. 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

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

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 20, 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. 20 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 20]. 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

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

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 20, 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. 20 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 20]. 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


Rochester Institute of Technology

23. Sharma, Payal. A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality.

Degree: MS, School of Media Sciences (CAD), 2019, Rochester Institute of Technology

  Valued at nearly US 7.5 billion, the global textile industry continues on a growth trajectory. Printed textiles represent a major segment of the market,… (more)

Subjects/Keywords: Engeldrum image quality theory; Fabric texture; Image quality; Inkjet fabrics; Psychophysical experiment; Textile industry

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

APA (6th Edition):

Sharma, P. (2019). A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10093

Chicago Manual of Style (16th Edition):

Sharma, Payal. “A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed September 20, 2020. https://scholarworks.rit.edu/theses/10093.

MLA Handbook (7th Edition):

Sharma, Payal. “A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality.” 2019. Web. 20 Sep 2020.

Vancouver:

Sharma P. A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2020 Sep 20]. Available from: https://scholarworks.rit.edu/theses/10093.

Council of Science Editors:

Sharma P. A Study on the Effect of Fabric Structure and Finishing on Perceived Image Quality. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10093


University of Edinburgh

24. Kivinen, Jyri Juhani. Statistical models for natural scene data.

Degree: PhD, 2014, University of Edinburgh

 This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the… (more)

Subjects/Keywords: 006.3; Image understanding; Statistical image modelling; Texture modelling; Visual boundary prediction; Boltzmann machines; Neural networks

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APA (6th Edition):

Kivinen, J. J. (2014). Statistical models for natural scene data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8879

Chicago Manual of Style (16th Edition):

Kivinen, Jyri Juhani. “Statistical models for natural scene data.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/8879.

MLA Handbook (7th Edition):

Kivinen, Jyri Juhani. “Statistical models for natural scene data.” 2014. Web. 20 Sep 2020.

Vancouver:

Kivinen JJ. Statistical models for natural scene data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/8879.

Council of Science Editors:

Kivinen JJ. Statistical models for natural scene data. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/8879


Anna University

25. 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 September 20, 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. 20 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 20]. 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


Texas A&M University

26. Eresen, Aydin. Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 Golden retriever muscular dystrophy (GRMD) is a spontaneous X-linked canine model of Duchenne muscular dystrophy (DMD) with the affected animals developing a progressively fatal disease,… (more)

Subjects/Keywords: Golden retriever muscular dystrophy; image registration; texture anlaysis

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

APA (6th Edition):

Eresen, A. (2018). Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174043

Chicago Manual of Style (16th Edition):

Eresen, Aydin. “Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy.” 2018. Doctoral Dissertation, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/174043.

MLA Handbook (7th Edition):

Eresen, Aydin. “Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy.” 2018. Web. 20 Sep 2020.

Vancouver:

Eresen A. Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/174043.

Council of Science Editors:

Eresen A. Detection of MRI Biomarkers of Golden Retriever Duchenne Muscular Dystrophy. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174043


University of Toronto

27. Lowe, X. Matthew. Surface Texture Consistency in Object and Background Perception.

Degree: 2014, University of Toronto

Seminal work on global processing has suggested that the precedence of global image features is an inherent property of visual perception. Consequently, interference from global… (more)

Subjects/Keywords: context; form; global image feature; Scene and object perception; texture; 0633

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APA (6th Edition):

Lowe, X. M. (2014). Surface Texture Consistency in Object and Background Perception. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/68003

Chicago Manual of Style (16th Edition):

Lowe, X Matthew. “Surface Texture Consistency in Object and Background Perception.” 2014. Masters Thesis, University of Toronto. Accessed September 20, 2020. http://hdl.handle.net/1807/68003.

MLA Handbook (7th Edition):

Lowe, X Matthew. “Surface Texture Consistency in Object and Background Perception.” 2014. Web. 20 Sep 2020.

Vancouver:

Lowe XM. Surface Texture Consistency in Object and Background Perception. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1807/68003.

Council of Science Editors:

Lowe XM. Surface Texture Consistency in Object and Background Perception. [Masters Thesis]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68003


Vilnius Gediminas Technical University

28. Bumbulis, Gintautas. Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime.

Degree: Master, Informatics Engineering, 2008, Vilnius Gediminas Technical University

Baigiamajame magistro darbe nagrinėjamos kompiuterinės regos algoritmų pritaikymo galimybės interaktyviems 3D objektams vaizduoti, interaktyvių objektų vaizdavimo tikslingumas. Darbe aptarti šiuolaikiniai 3D objektų rekonstrukcijos metodai. Apžvelgtos… (more)

Subjects/Keywords: Autostereograma; Gylio vaizdas; Marginys; Tekstūra; Stereogram; Depth image; Pattern; Texture

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

APA (6th Edition):

Bumbulis, Gintautas. (2008). Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime. (Masters Thesis). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080722_153041-25771 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Bumbulis, Gintautas. “Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime.” 2008. Masters Thesis, Vilnius Gediminas Technical University. Accessed September 20, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080722_153041-25771 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Bumbulis, Gintautas. “Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime.” 2008. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Bumbulis, Gintautas. Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime. [Internet] [Masters thesis]. Vilnius Gediminas Technical University; 2008. [cited 2020 Sep 20]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080722_153041-25771 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Bumbulis, Gintautas. Kompiuterinės regos algoritmų taikymas 3D objektų interaktyviame vaizdavime. [Masters Thesis]. Vilnius Gediminas Technical University; 2008. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080722_153041-25771 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Univerzitet u Beogradu

29. Avramović, Aleksej. 1984-. Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

Elektronika i računarstvo - Telekomunikacije / Electrical engineering and computer science - Telecommunications

Prepoznavanje vizuelnog i semantickog sadrzaja u slikama primjenom racunarskih programa ima sve… (more)

Subjects/Keywords: Texture; descriptors; multispectral images; image classication; neural networks; object detection

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

APA (6th Edition):

Avramović, A. 1. (2016). Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:13646/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):

Avramović, Aleksej 1984-. “Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika.” 2016. Thesis, Univerzitet u Beogradu. Accessed September 20, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:13646/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):

Avramović, Aleksej 1984-. “Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika.” 2016. Web. 20 Sep 2020.

Vancouver:

Avramović A1. Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Sep 20]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:13646/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:

Avramović A1. Niskodimenzionalni prostorno-teksturalni deskriptori multispektralnih slika. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:13646/bdef:Content/get

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


University of Manchester

30. Mohammad, Suraya. Textural measurements for retinal image analysis.

Degree: PhD, 2015, University of Manchester

 This thesis present research work conducted in the field of retina image analysis. More specifically, the work is directed at the application of texture analysis… (more)

Subjects/Keywords: 617.7; Texture; BRIEF; Retina Image Analysis; Glaucoma; Optic disc segmentation

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

APA (6th Edition):

Mohammad, S. (2015). Textural measurements for retinal image analysis. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/textural-measurements-for-retinal-image-analysis(4efe6635-edec-4e8e-89a4-d119da3cf7cd).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654844

Chicago Manual of Style (16th Edition):

Mohammad, Suraya. “Textural measurements for retinal image analysis.” 2015. Doctoral Dissertation, University of Manchester. Accessed September 20, 2020. https://www.research.manchester.ac.uk/portal/en/theses/textural-measurements-for-retinal-image-analysis(4efe6635-edec-4e8e-89a4-d119da3cf7cd).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654844.

MLA Handbook (7th Edition):

Mohammad, Suraya. “Textural measurements for retinal image analysis.” 2015. Web. 20 Sep 2020.

Vancouver:

Mohammad S. Textural measurements for retinal image analysis. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2020 Sep 20]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/textural-measurements-for-retinal-image-analysis(4efe6635-edec-4e8e-89a4-d119da3cf7cd).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654844.

Council of Science Editors:

Mohammad S. Textural measurements for retinal image analysis. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/textural-measurements-for-retinal-image-analysis(4efe6635-edec-4e8e-89a4-d119da3cf7cd).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654844

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