Bulletin of Electrical Engineering and Informatics
Vol 5, No 1: March 2016

Bright Lesion Detection in Color Fundus Images Based on Texture Features

Ratna Bhargavi V (K L University)
Ranjan K. Senapati (K L University)

Article Info

Publish Date
01 Mar 2016

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.

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Journal Info
Bulletin of Electrical Engineering and Informatics
Website

Abbrev

EEI

Publisher

Universitas Ahmad Dahlan

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...