The Role of Color and Texture Features in Glaucoma Detection

Sumaiya Pathan; Preetham Kumar; Radhika M. Pai

doi:10.1109/ICACCI.2018.8554854

The Role of Color and Texture Features in Glaucoma Detection

Sumaiya Pathan, Preetham Kumar, Radhika M. Pai

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

7 Citations (Scopus)

Abstract

Glaucoma is considered as a neurodegenerative disease and one of the leading cause for vision loss. A computer aided diagnostic tool for glaucoma detection is of primary importance in early detection. This paper presents a novel computer based automated glaucoma detection method. Unlike the present state-of-art approaches, the proposed method eliminates the segmentation of retinal structures and extracts color and texture features from the blood vessel in-painted fundus images. Blood vessels are considered as noisy pixels and are eliminated prior to feature extraction. The color and texture features provide information which is clinically significant for characterization of retinal fundus images as glaucoma and healthy. The proposed approach achieved an accuracy of 94.7% with Artificial Neural Network (ANN) classifier and 92% with Support Vector Machine (SVM) classifier.

Original language	English
Title of host publication	2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	526-530
Number of pages	5
ISBN (Electronic)	9781538653142
DOIs	https://doi.org/10.1109/ICACCI.2018.8554854
Publication status	Published - 30-11-2018
Event	7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 - Bangalore, India Duration: 19-09-2018 → 22-09-2018

Conference

Conference	7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
Country/Territory	India
City	Bangalore
Period	19-09-18 → 22-09-18

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems

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10.1109/ICACCI.2018.8554854

Cite this

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title = "The Role of Color and Texture Features in Glaucoma Detection",

abstract = "Glaucoma is considered as a neurodegenerative disease and one of the leading cause for vision loss. A computer aided diagnostic tool for glaucoma detection is of primary importance in early detection. This paper presents a novel computer based automated glaucoma detection method. Unlike the present state-of-art approaches, the proposed method eliminates the segmentation of retinal structures and extracts color and texture features from the blood vessel in-painted fundus images. Blood vessels are considered as noisy pixels and are eliminated prior to feature extraction. The color and texture features provide information which is clinically significant for characterization of retinal fundus images as glaucoma and healthy. The proposed approach achieved an accuracy of 94.7% with Artificial Neural Network (ANN) classifier and 92% with Support Vector Machine (SVM) classifier.",

author = "Sumaiya Pathan and Preetham Kumar and Pai, {Radhika M.}",

year = "2018",

month = nov,

day = "30",

doi = "10.1109/ICACCI.2018.8554854",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Pathan, S , Kumar, P & Pai, RM 2018, The Role of Color and Texture Features in Glaucoma Detection. in 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018., 8554854, Institute of Electrical and Electronics Engineers Inc., pp. 526-530, 7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, Bangalore, India, 19-09-18. https://doi.org/10.1109/ICACCI.2018.8554854

The Role of Color and Texture Features in Glaucoma Detection. / Pathan, Sumaiya ; Kumar, Preetham ; Pai, Radhika M.

2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 526-530 8554854.

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

TY - GEN

T1 - The Role of Color and Texture Features in Glaucoma Detection

AU - Pathan, Sumaiya

AU - Kumar, Preetham

AU - Pai, Radhika M.

PY - 2018/11/30

Y1 - 2018/11/30

N2 - Glaucoma is considered as a neurodegenerative disease and one of the leading cause for vision loss. A computer aided diagnostic tool for glaucoma detection is of primary importance in early detection. This paper presents a novel computer based automated glaucoma detection method. Unlike the present state-of-art approaches, the proposed method eliminates the segmentation of retinal structures and extracts color and texture features from the blood vessel in-painted fundus images. Blood vessels are considered as noisy pixels and are eliminated prior to feature extraction. The color and texture features provide information which is clinically significant for characterization of retinal fundus images as glaucoma and healthy. The proposed approach achieved an accuracy of 94.7% with Artificial Neural Network (ANN) classifier and 92% with Support Vector Machine (SVM) classifier.

AB - Glaucoma is considered as a neurodegenerative disease and one of the leading cause for vision loss. A computer aided diagnostic tool for glaucoma detection is of primary importance in early detection. This paper presents a novel computer based automated glaucoma detection method. Unlike the present state-of-art approaches, the proposed method eliminates the segmentation of retinal structures and extracts color and texture features from the blood vessel in-painted fundus images. Blood vessels are considered as noisy pixels and are eliminated prior to feature extraction. The color and texture features provide information which is clinically significant for characterization of retinal fundus images as glaucoma and healthy. The proposed approach achieved an accuracy of 94.7% with Artificial Neural Network (ANN) classifier and 92% with Support Vector Machine (SVM) classifier.

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M3 - Conference contribution

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BT - 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018

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ER -

The Role of Color and Texture Features in Glaucoma Detection

Abstract

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