Medical Image Segmentation using Fuzzy Binary Relation

Image segmentation is one of the most challenging aspects of image processing, particularly in the case of medical images. It is rather difficult to extract and characterise the anatomical structures with respect to some input features or expert knowledge. Even though several methods are available in the literature, all of them have certain limitations. Therefore it is worth exploring better methods. In this article, we introduce a clustering method for image segmentation based on fuzzy binary relation which produces the clusters automatically. The proposed method is proved to be superior to those are already in existence. This is substantiated with the help of two examples. AMS subject classification: