Journal of Computer Science

IDENTIFICATION OF EXUDATES USING FUZZY MATHEMATICAL MORPHOLOGY

Kittipol Wisaeng, Nualsawat Hiransakolwong and Ekkarat Pothiruk

DOI : 10.3844/jcssp.2014.852.860

Journal of Computer Science

Volume 10, Issue 5

Pages 852-860

Abstract

Diabetic Retinopathy is the damage to the retina caused by complication and the most common cause of blindness in Thailand. Retinal image is essential for expert ophthalmologists to diagnose diseases. Several of method can achieve good performance on retinal feature are clearly visible. Unfortunately, the color retinal image in Thailand are low-resolution images. The existing method cannot identified low-resolution image. Therefore, this study is part of a larger effort to develop a new method for identification of exudates in low-resolution retinal image. In this study a fuzzy mathematical morphology based on fuzzy logical operator and mathematical morphology method is presented. The color retinal image are segmented by using fuzzy logical operator following key preprocessing step, i.e., color normalization, contrast enhancement, noise removal and color space selection. Afterward, a segmentation using mathematical morphology method was applied in this step. This enables its difference in our methods compared to other approach and the methods can achieve good performance even on low-resolution retinal images. Respect to the experimental results, the results obtained with fuzzy mathematical morphology better than the ones obtained with the fuzzy logical operator only method.

Copyright

© 2014 Kittipol Wisaeng, Nualsawat Hiransakolwong and Ekkarat Pothiruk. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.