Automatic tear film segmentation based on texture analysis and region growing

Beatriz Remeseiro; Katherine M. Oliver; Eilidh Martin; Alan Tomlinson; Daniel G. Villaverde; Manuel G. Penedo

doi:10.1007/978-3-319-11755-3_21

Automatic tear film segmentation based on texture analysis and region growing

Beatriz Remeseiro, Katherine M. Oliver, Eilidh Martin, Alan Tomlinson, Daniel G. Villaverde, Manuel G. Penedo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Dry eye syndrome is a prevalent disease characterized by symptoms of discomfort and ocular surface damage. It can be identified by several types of diagnostic tests, one of which consists in capturing the appearance of the tear film by means of the Doane interferometer. Previous research has demonstrated that this manual test can be automated, with the benefits of saving time for experts and providing unbiased results. However, most images are made up of a combination of different patterns which makes their classification into one single category per eye not always possible. In this sense, this paper presents a first attempt to segment tear film images based on the interference patterns, and so to detect multiple categories in each individual subject. The adequacy of the proposed methodology was demonstrated since it provides reliable results in comparison with the practitioners’ annotations.

Original language	English
Title of host publication	Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science)
Editors	Aurelio Campilho, Mohamed Kamel
Publisher	Springer
Pages	185-192
Number of pages	8
ISBN (Print)	9783319117546
DOIs	https://doi.org/10.1007/978-3-319-11755-3_21
Publication status	Published - 27 Oct 2014

Publication series

Name	Lecture Notes in Computer Science
Volume	8815

Keywords

dry eye disease
tear film
image segmentation
texture analysis
seeded region growing

Documents and Links

10.1007/978-3-319-11755-3_21

Cite this

Remeseiro, B., Oliver, K. M., Martin, E., Tomlinson, A., Villaverde, D. G., & Penedo, M. G. (2014). Automatic tear film segmentation based on texture analysis and region growing. In A. Campilho, & M. Kamel (Eds.), Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science) (pp. 185-192). (Lecture Notes in Computer Science ; Vol. 8815). Springer. https://doi.org/10.1007/978-3-319-11755-3_21

Remeseiro, Beatriz ; Oliver, Katherine M. ; Martin, Eilidh ; Tomlinson, Alan ; Villaverde, Daniel G. ; Penedo, Manuel G. / Automatic tear film segmentation based on texture analysis and region growing. Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science). editor / Aurelio Campilho ; Mohamed Kamel. Springer, 2014. pp. 185-192 (Lecture Notes in Computer Science ).

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title = "Automatic tear film segmentation based on texture analysis and region growing",

abstract = "Dry eye syndrome is a prevalent disease characterized by symptoms of discomfort and ocular surface damage. It can be identified by several types of diagnostic tests, one of which consists in capturing the appearance of the tear film by means of the Doane interferometer. Previous research has demonstrated that this manual test can be automated, with the benefits of saving time for experts and providing unbiased results. However, most images are made up of a combination of different patterns which makes their classification into one single category per eye not always possible. In this sense, this paper presents a first attempt to segment tear film images based on the interference patterns, and so to detect multiple categories in each individual subject. The adequacy of the proposed methodology was demonstrated since it provides reliable results in comparison with the practitioners{\textquoteright} annotations.",

keywords = "dry eye disease, tear film, image segmentation, texture analysis, seeded region growing",

author = "Beatriz Remeseiro and Oliver, {Katherine M.} and Eilidh Martin and Alan Tomlinson and Villaverde, {Daniel G.} and Penedo, {Manuel G.}",

year = "2014",

month = oct,

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language = "English",

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series = "Lecture Notes in Computer Science ",

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editor = "Aurelio Campilho and Mohamed Kamel",

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Remeseiro, B, Oliver, KM, Martin, E , Tomlinson, A, Villaverde, DG & Penedo, MG 2014, Automatic tear film segmentation based on texture analysis and region growing. in A Campilho & M Kamel (eds), Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science). Lecture Notes in Computer Science , vol. 8815, Springer, pp. 185-192. https://doi.org/10.1007/978-3-319-11755-3_21

Automatic tear film segmentation based on texture analysis and region growing. / Remeseiro, Beatriz; Oliver, Katherine M.; Martin, Eilidh ; Tomlinson, Alan; Villaverde, Daniel G.; Penedo, Manuel G.

Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science). ed. / Aurelio Campilho; Mohamed Kamel. Springer, 2014. p. 185-192 (Lecture Notes in Computer Science ; Vol. 8815).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automatic tear film segmentation based on texture analysis and region growing

AU - Remeseiro, Beatriz

AU - Oliver, Katherine M.

AU - Martin, Eilidh

AU - Tomlinson, Alan

AU - Villaverde, Daniel G.

AU - Penedo, Manuel G.

PY - 2014/10/27

Y1 - 2014/10/27

N2 - Dry eye syndrome is a prevalent disease characterized by symptoms of discomfort and ocular surface damage. It can be identified by several types of diagnostic tests, one of which consists in capturing the appearance of the tear film by means of the Doane interferometer. Previous research has demonstrated that this manual test can be automated, with the benefits of saving time for experts and providing unbiased results. However, most images are made up of a combination of different patterns which makes their classification into one single category per eye not always possible. In this sense, this paper presents a first attempt to segment tear film images based on the interference patterns, and so to detect multiple categories in each individual subject. The adequacy of the proposed methodology was demonstrated since it provides reliable results in comparison with the practitioners’ annotations.

AB - Dry eye syndrome is a prevalent disease characterized by symptoms of discomfort and ocular surface damage. It can be identified by several types of diagnostic tests, one of which consists in capturing the appearance of the tear film by means of the Doane interferometer. Previous research has demonstrated that this manual test can be automated, with the benefits of saving time for experts and providing unbiased results. However, most images are made up of a combination of different patterns which makes their classification into one single category per eye not always possible. In this sense, this paper presents a first attempt to segment tear film images based on the interference patterns, and so to detect multiple categories in each individual subject. The adequacy of the proposed methodology was demonstrated since it provides reliable results in comparison with the practitioners’ annotations.

KW - dry eye disease

KW - tear film

KW - image segmentation

KW - texture analysis

KW - seeded region growing

U2 - 10.1007/978-3-319-11755-3_21

DO - 10.1007/978-3-319-11755-3_21

M3 - Conference contribution

SN - 9783319117546

T3 - Lecture Notes in Computer Science

SP - 185

EP - 192

BT - Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science)

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PB - Springer

ER -

Remeseiro B, Oliver KM, Martin E , Tomlinson A, Villaverde DG, Penedo MG. Automatic tear film segmentation based on texture analysis and region growing. In Campilho A, Kamel M, editors, Image Analysis and Recognition: 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II (Lecture Notes in Computer Science). Springer. 2014. p. 185-192. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-319-11755-3_21

Automatic tear film segmentation based on texture analysis and region growing

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Keywords

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