Detection of Various Anatomical Structures in Retinal Images and Fovea Detection Using Wavelets

Detection of anatomical structures is one of the most important areas in ophthalmology. On day today life everyone are experiencing more defect on retinal areas this paper is a small contribution for such cases by detecting different features (like blood vessels, optic disk, macula, fovea etc.) automatically from retinal image. This presents simple techniques for extracting blood vessels, some relevant information on optic disk and also mainly focusing on fovea region and as a further study top hat transformation is been compared with the results of bottom hat transformation during extraction of blood vessels. This is compared with wavelets and which method gives better result is determined. The experimental results illustrate the usefulness of the new method. Thus the proposed scheme is robust also.