Abstract
Diabetic Retinopathy is the damage to the retina ca used by complication and the most common cause of blindness in Thailand. Retinal image is essential f or 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 retina l image. In this study a fuzzy mathematical morphol ogy based on fuzzy logical operator and mathematical mo rphology 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 segmentatio n 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 ob tained with fuzzy mathematical morphology better than the ones obtained with the fuzzy logical operator only method.
Highlights
The thresholding and region growing technique are widely used. Kavitha and Devi (2005) proposed medianDiabetic retinopathy is a microvascular complication of diabetes, causing abnormalities in the retina
We proposed a new method for identification of exudates using fuzzy mathematical morphology method to segment and identification of exudaes in low-resolusion and multimodal image
We have proposed a new methods to automatically identified of exudates from low-resolution images and multimodal images taken from diabetic retinopathy
Summary
The thresholding and region growing technique are widely used. Kavitha and Devi (2005) proposed medianDiabetic retinopathy is a microvascular complication of diabetes, causing abnormalities in the retina. The thresholding and region growing technique are widely used. Kavitha and Devi (2005) proposed median. Diabetic retinopathy is a microvascular complication of diabetes, causing abnormalities in the retina. Exudates filtering and morphology operation for vascular identification. Mul-tilevel threshoding is used to represent leak from surrounding capillaries and segment bright regions assumed to be the exudates or microaneurysms in diabetic retinopathy. They detec the optic disc as the converging increase of exudates pushes the limits of the exudates point of vascular and classifiy the other bright screening and semi-automatic retinal image analysis regions as exudates. Li and Chutatape (2003) used methods provide a potential solution. The region growing and edge detection of exudates
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