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.
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