Segmentation based on measures of contrast, homogeneity, and region size

Two algorithms are described for automatic image segmentation using a “homogeneity” measure and “Contrast” measure defined on the cooccurrence matrix of the image. The measure of contrast involves the concept of logarithmic response (adaptibility with background intensity) of the human visual system. Provisions are also kept in two different ways to remove the undesirable thresholds. The effectiveness of the algorithms is demonstrated for a set of images having different types of histograms. The performance of the algorithms is compared to existing ones.