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

Two algorithms are described for automatic image segmentation using a homogeneity measure and a contrast measure defined on the co-occurrence matrix of the image. The measure of contrast involves the concept of logarithmic response (adaptability with background intensity) of the human visual system. Provisions are made 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. Their performance is compared to that of existing algorithms.