A Study on Retinal Disease Classification and Filteration Approaches

Image Processing is having is significance for disease detection on medical images. These disease recognition and classification approaches are specific to human organ and image type. One of such disease class includes detection of retinal disease such as glaucoma detection or diabetic detection. The paper has defined a study on disease recognition approaches such as SVM, DCT, HMM and PCA approaches. Paper also defined the image processing operations applied to filter the medical image and to perform disease area segmentation. Keyword: Glaucoma, PCA, DCT, HMM