A Novel Multilevel Thresholding Method Based on Finding the Consistent Peak of Correlation Function

In this paper a novel multilevel thresholding method is proposed based on selecting the consistent peak of correlation function over the interested histogram region. The histogram is separated into two more regions up to the cost function is reached minimum. In the separation process of the histogram, a novel dichotomisation method is used. In general, correlation function of an image histogram may have some peak points. In the method proposed by Yen, threshold is placed in the maximum point of the correlation function. In our proposed method not only the maximum of the correlation function is considered but also other local maximums are taken into consideration. The main contribution of this method is to evaluate the all peaks' location of TC function as candidate threshold location. These points may have some important information in the sense of segmentation by human eye. The proposed method has been tested on some set of images and satisfactory results have obtained.