DETECTION OF OPTIC DISC IN COLOR FUNDUS IMAGES USING GREEN CHANNEL COMPONENT

Reza, Ahmed Wasif and Eswaran , C. and Hati, Subhas and Vinayakam , Sithi and Md Sharif, Ahmed Fauzi (2007) DETECTION OF OPTIC DISC IN COLOR FUNDUS IMAGES USING GREEN CHANNEL COMPONENT. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/342

Abstract

Detection of optic disc in fundus images forms an important step in the automatic screening process for eye diseases. This paper presents a novel technique for tracing of optic disc boundary using green channel component in the color fundus images. The brightness, color, and contrast attributes of optic disc are similar to those of other components such as exudates and cotton wools which are also present in the fundus images. The identification of these components helps in detecting the abnormal signs of eye diseases such as diabetic retinopathy and glaucoma. The proposed algorithm employs average filtering, contrast stretching transformation, thresholding, morphological gradient and boundary tracing techniques to detect the optic disc in the retinal image. The preprocessing steps are used for enhancing the image to make it better fit for the subsequent analysis. The morphological gradient is useful for determining the edge points. The tracing phase then tracks the border pixels along the top of the ridges and returns the accurate row and column coordinates of all the pixels lying on the border of the optic disc. The proposed method is tested on images of DRIVE database with different brightness and contrast conditions using a fixed threshold value. The results obtained confirm the accuracy and robustness of the proposed algorithm.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 23 Jul 2013 08:18
Last Modified: 23 Jul 2013 08:18
URI: http://repository.um.edu.my/id/eprint/430

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