THRESHOLD SELECTION USING RENYIS ENTROPY

Image segmentation is an important and fundamental task in many digita l image processing systems. Image segmentation by thresholding is the simplest technique and involves the basic assumption that objects and background in the digital image have distinct gray-level distributions . In this paper, we present a general technique for thresholding of di gital images based on Renyi's entropy. Our method includes two of the previously proposed well known global thresholding methods. The effect iveness of the proposed method is demonstrated by using examples from the real-world and synthetic images.