چکیده (انگلیسی):

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 lowresolution
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 lowresolution
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.