An image segmentation method based on measure of medium truth degree

Image segmentation is one of the most important research areas in image processing and computer vision, and is a key step in image processing and image analysis. This paper introduces medium mathematics system which is employed to process fuzzy information for image segmentation. Based on the measure of medium truth degree, this paper presents a novel image segmentation method by introducing the distance ratio function to measure the gray level similarity degree between a single pixel and clustering center. Experiments show that the algorithm can effectively preserve the image details and get an ideal segmentation results compared with that of the classical algorithms.