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

1 Citation (Scopus)

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, Proceedings
Editors	Aurelio Campilho, Mohamed Kamel
Publisher	Springer Nature
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
Event	11th International Conference, ICIAR 2014 - Vilamoura, Portugal Duration: 22 Oct 2014 → 24 Oct 2014 Conference number: 11 https://link.springer.com/book/10.1007/978-3-319-11755-3

Publication series

Name	Lecture Notes in Computer Science
Volume	8815

Conference

Conference	11th International Conference, ICIAR 2014
Abbreviated title	ICIAR 2014
Country/Territory	Portugal
City	Vilamoura
Period	22/10/14 → 24/10/14
Internet address	https://link.springer.com/book/10.1007/978-3-319-11755-3

Keywords

dry eye disease
tear film
image segmentation
texture analysis
seeded region growing
Tear film
Dry eye syndrome
Image segmentation
Seeded region growing
Texture analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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, Proceedings (pp. 185-192). (Lecture Notes in Computer Science ; Vol. 8815). Springer Nature. https://doi.org/10.1007/978-3-319-11755-3_21

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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, Tear film, Dry eye syndrome, Image segmentation, Seeded region growing, Texture analysis",

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

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note = "11th International Conference, ICIAR 2014, ICIAR 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

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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, Proceedings. Lecture Notes in Computer Science , vol. 8815, Springer Nature, pp. 185-192, 11th International Conference, ICIAR 2014, Vilamoura, Portugal, 22/10/14. 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 et al.
Image Analysis and Recognition - 11th International Conference, ICIAR 2014, Proceedings. ed. / Aurelio Campilho; Mohamed Kamel. Springer Nature, 2014. p. 185-192 (Lecture Notes in Computer Science ; Vol. 8815).

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

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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.

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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

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KW - texture analysis

KW - seeded region growing

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KW - Seeded region growing

KW - Texture analysis

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BT - Image Analysis and Recognition - 11th International Conference, ICIAR 2014, Proceedings

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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, Proceedings. Springer Nature. 2014. p. 185-192. (Lecture Notes in Computer Science ). Epub 2014 Oct 10. doi: 10.1007/978-3-319-11755-3_21

Automatic tear film segmentation based on texture analysis and region growing

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

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Cite this