Bright Lesion Detection in Color Fundus Images Based on Texture Features
Ratna Bhargavi V, Ranjan K. Senapati
Abstract
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.
Keywords
Computer aided screening, feature extraction, classification, segmentation, Diabetic retinopathy
DOI:
https://doi.org/10.11591/eei.v5i1.553
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Bulletin of EEI Stats
Bulletin of Electrical Engineering and Informatics (BEEI) ISSN: 2089-3191, e-ISSN: 2302-9285 This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU) .