Genetic based Fuzzy Seeded Region Growing Segmentation for Diabetic Retinopathy Images

被引：0
|
作者：
Tamilarasi, M. [1 ]
Duraiswamy, K. [2 ]
机构：
[1] KSR Coll Engn, Dept CSE, Tiruchengode, India
[2] KS Rangasamy Coll Technol, Tiruchengode, India
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS | 2013年
关键词：
Image segmentation; Region growing; Genetic algorithm; Fuzzy clustering; Diabetic retinopathy; RETINAL IMAGES; FUNDUS IMAGES; CONTRAST NORMALIZATION; AUTOMATIC DETECTION; LESION DETECTION; IDENTIFICATION;
D O I：
暂无
中图分类号：
R-058 [];
学科分类号：
摘要：
Segmentation is an important task for image analysis. Region based segmentation methods are best suited for images taken in noisy environment. Selecting a seed pixel is a challenging task in region growing methods. To overcome this drawback, Genetic based Fuzzy Seeded Region Growing Segmentation (GFSRGS) algorithm is proposed in this paper. The proposed algorithm optimizes the selection of multiple seed pixels using genetic based fuzzy approach. It is experimented with diabetic retinopathy images to find out the exudates regions. The results of the proposed algorithm are compared with the ground truth data. It achieves better accuracy when compared to the existing methods.
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页数：5
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