Image thresholding based on parzen window estimation and Renyi entropy

Image segmentation is an important problem of digital image processing and also a common difficult problem. In this paper, a new image thresholding method based on Parzen-window estimation and Renyi entropy is proposed. The method used Parzen-window technology to estimate the spatial probability distribution of image gray level values, then combined with the Renyi entropy to construct a new criterion function, and at last searched the optimal global threshold in the scope of gray level to maximum the criterion function. This new method has some advantages, such as high accuracy to image segmentation, fine stability comparing with the traditional Renyi entropy method.