期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：6493
DOI：10.15680/IJIRCCE.2016.0404029
出版社：S&S Publications
摘要：In worldwide, retinal diseases are found to be frequent cause of blindness for working age population in western countries. So, early diagnosis can prevent the blindness. We develop a system for the early diagnosis of diabetic retinopathy, glaucoma, retinoblastoma and age related macular degeneration using fundus images based on its symptoms. The images having different color variation inside the eye is compared by using images taken by high definition laser camera. These are called as fundus images. The feature extraction of these fundus images may be carried out using MATLAB software tool. Automatic screening will help to quickly identify the condition of the patients in a more accurate way. The macular abnormalities caused due to diabetic retinopathy can be detected by applying morphological operation, filters and thresholds on the fundus images of the patients[2]. On the fundus image of the patient glaucoma is caused by an increasing intraocular pressure with in the eye [1]. Diagnosis of glaucoma is done by applying K-means clustering algorithm and morphological operation. Retinoblastoma is caused due to the growing of cancerous tumor in the retina . Diagnosis of retinoblastoma is done by using fast Fourier transform and log transform. Age related is caused due to the degradation of the macular area. Diagnosis ARMD is done by applying histogram equalization and thresholding[4]. The diagnosing of four retinal diseases will be performed by the given user's retinal images and their corresponding symptoms through the graphical use interface. The processed output will be displayed to the user to identify the changes in our retina compared with the original image
