期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2013
卷号：2
期号：2
页码：808-811
出版社：Shri Pannalal Research Institute of Technolgy
摘要：A novel method to identify the Diabetic retinopathy stages in human retinal image is proposed. Diabetic retinopathy is the dangerous eye disease cause the blindness in worldwide. The first manifestation of diabetic retinopathy is microaneurysms. They are appearing as small reddish dot in human retinal image. The number of microaneurysms is the important parameter used to identify the severity of the diabetic retinopathy. Hence the detection of microaneurysms in human retinal image is the major work to identify the stage of the disease. Early identification of microaneurysms can help to reduce the growth of diabetic retinopathy disease, which helps to reduce the incidence of blindness. The algorithm starts with the preprocessing stage, which are used as guidelines for the subsequent Image enhancement and Microaneurysms detection phases. This paper proposes a set of optimally adjusted morphological operators used for microaneurysms detection in retinal images.
