Texture Based Segmentation

Reyer Zwiggelaar; Erika R. E. Denton

doi:10.1007/11783237_58

Texture Based Segmentation

Reyer Zwiggelaar, Erika R. E. Denton

Department of Computer Science

Norfolk & Norwich University Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

13 Citations (Scopus)

Abstract

The ability of human observers to discriminate between textures is related to the contrast between key structural elements and their repeating patterns. Here we have developed an automatic texture classification approach based on this principle. Local contrast information is modelled and a hybrid metric, based on probability density distributions and transportation estimation, are used to classify unseen samples. Quantitative and qualitative evaluation, based on mammographic images and Wolfe classification, is presented and shows segmentation results in line with the various classes.

Original language	English
Title of host publication	Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings
Subtitle of host publication	8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings
Publisher	Springer Nature
Pages	433-440
Number of pages	8
ISBN (Electronic)	978-3-540-35627-1
ISBN (Print)	3540356258, 9783540356257
DOIs	https://doi.org/10.1007/11783237_58
Publication status	Published - 21 Sept 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4046 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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Zwiggelaar, R., & Denton, E. R. E. (2006). Texture Based Segmentation. In Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings (pp. 433-440). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS). Springer Nature. https://doi.org/10.1007/11783237_58

Zwiggelaar, Reyer ; Denton, Erika R. E. / Texture Based Segmentation. Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Springer Nature, 2006. pp. 433-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Zwiggelaar, R & Denton, ERE 2006, Texture Based Segmentation. in Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4046 LNCS, Springer Nature, pp. 433-440. https://doi.org/10.1007/11783237_58

Texture Based Segmentation. / Zwiggelaar, Reyer; Denton, Erika R. E.
Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Springer Nature, 2006. p. 433-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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AB - The ability of human observers to discriminate between textures is related to the contrast between key structural elements and their repeating patterns. Here we have developed an automatic texture classification approach based on this principle. Local contrast information is modelled and a hybrid metric, based on probability density distributions and transportation estimation, are used to classify unseen samples. Quantitative and qualitative evaluation, based on mammographic images and Wolfe classification, is presented and shows segmentation results in line with the various classes.

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Zwiggelaar R, Denton ERE. Texture Based Segmentation. In Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Springer Nature. 2006. p. 433-440. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11783237_58

Texture Based Segmentation

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