IMAGE SEGMENTATION FOR TUMOR DETECTION USING FUZZY INFERENCE SYSTEM

Image segmentation on surgical images pla ys a vital role in diagnosing and analyzing the anatomy of human body. The area of image segmentati on has made an extensive ideology for classifying biomedical images. One such application for segment ing and classifying MRI brain images using fuzzy ba sed control theory is proposed in this project. A speci al technique called FIS is used in brain image segm entation. The proposed FIS technique plays a promising part i n identifying the tumor in brain image. In FIS technique, fuzzy rules are coined which helps in se gmenting the image. Key Terms: MRI brain images; FIS technique; Segme ntation; Tumor detection

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