Automatic Detection Of Microaneurysms In Colour Fundus Using Circular Hough Transform

Detection of microaneurysms in fundus images using circular Hough transform has been proposed in this paper. Firstly image acquisition is done by using special fundus cameras. Sharpening technique is used to sharpen the image to remove the noise that is present in image. Sharpened image is then adjusted as per the contrasting limits. Optic disc is detected with edge detection techniques [1]. Using Circular Hough Transform, all possible candidates are identified. Later, on the basis of parameters true candidates are identified amongst them and microaneurysms are detected.