Novel Image Thresholding Method Based on Parzen Window Technique and Renyi Entropy
一种基于Parzen窗法和Renyi熵的图像分割阈值选取新方法

This paper first used Parzen window algorithm to estimate the spatial probability distribution of image gray level values,then construct object function with Renyi entropy, and at last search the best global threshold in the scope of gray level to minimum the object function. The results of experiment show that the method has high accuracy and fine adaptability to image segmentation.