Open AccessBright Lesion Detection in Color Fundus Images Based on Texture Features
Author(s) -
V. Ratna Bhargavi,
Ranjan K. Senapati
Publication year - 2016
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v5i1.553
Subject(s) - artificial intelligence , computer vision , pattern recognition (psychology) , computer science , fundus (uterus) , classifier (uml) , feature extraction , support vector machine , medicine , ophthalmology
In this paper a computer aided screening system for the detection of bright lesions or exudates using color fundus images is proposed. The proposed screening system is used to identify the suspicious regions for bright lesions. A texture feature extraction method is also demonstrated to describe the characteristics of region of interest. In final stage the normal and abnormal images are classified using Support vector machine classifier. Our proposed system obtained the effective detection performance compared to some of the state–of–art methods.