Image segmentation using fuzzy sets and fuzzy entropy

Image segmentation is used to visualize different objects in an image. The separation of the soft, bonny tissues and background on the lateral skull x-ray plays an important role in producing cephalometric analysis. There are various techniques used for image segmentation. In this paper we propose an algorithm for finding optimal thresholds for segmenting x-ray images. In the proposed work, multi-level segmentation based on fuzzy entropy and fuzzy set theory are used. The proposed system is based on minimizing a fuzzy index, which decreases as the similarity between pixel increases. The performance of the proposed work gives good segmentation results when compared with other works.