USING RENYI S ENTROPY FOR EDGE DETECTION IN LEVEL IMAGES

Most of the classical methods for edge detection are based on the first and second order derivatives of gray levels of the pixels of the original image utilizing 2D spatial convolution masks to approximate the derivative. In this paper we present an algorithm for edge detection in gray level images to solve the previous problem of traditional methods. The method is employs Renyi entropy measure of order a. The main advantages of the proposed method are its robustness and its flexibility. It has been tested on many different kinds of test images from the real-world and synthetic images