Image segmentation using fuzzy based histogram thresholding

In this paper, a new method of image segmentation by histogram thresholding based on the concept of fuzzy measure minimization is suggested. The concept introduced here, uses extreme value type-1 distribution (Gumbel distribution) in order to define the membership function. The membership function is used to express the unique association between a pixel and its belonging region (the object or the background). The optimal threshold can be effectively determined by minimizing the measure of fuzziness of the image. The result of the proposed approach is compared with some existing methods and the efficacy can be verified over some standard images having various types of histogram.