期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2013
卷号：13
期号：3
页码：73-79
出版社：International Journal of Computer Science and Network Security
摘要：Currently, there is an increasing interest for setting up medical systems that can screen a large number of people for sight threatening diseases, such as diabetic retinopathy. This automated identification of exudates pathologies in retinal images based on computational-intelligence approach are used to find the diabetics. In which the color retinal images are segmented using fuzzy c means clustering algorithm which following some pre processing step and that segmented regions are divided into exudates and non exudates. The selected feature vectors are then classified using a multilayer neural network classifier to determine whether the image is abnormal or normal.
