An Effective Image Thresholding Method Using a Fuzzy Compactness Measure

This paper presents an improved method for image thresholding by optimization of fuzzy compactness which was originally introduced by Pal and Rosenfeld [3]. In our method a set of asymmetric S-functions whose windows are located in the same range are used as membership functions for obtaining fuzzy compactness. This avoids the problem which may occur in the original algorithm by unsuitably choosing of window size. An effective algorithm for finding the optimum is developed which proved to be computationally faster. An application using this method to segment the regions of interesting of flame images is also demonstrated. 1 Introduction Gray level thresholding is one of the popular techniques for image segmentation. A variety of thresholding methods can be found in the literature [1]. Among them the fuzzy mathematical approach draws more and more attention of the researchers. Especially when the regions in an image are ill-defined, it is possible to avoid committing ourselves to a sp..