An Improved Ilkfcm Algorithm for Segmentation of Anomalies in Liver Ct/mr Images
نویسنده
چکیده
This project is an application of Medical Image Processing. The abdomen CT image was taken as input and anomalies in the liver was analyzed. The clustering algorithm groups the pixels based on the similarity of gray values. Here in this project an improved kernel fuzzy C-mean clustering algorithm with pixel intensity and location information (ILKFCM) is used which will segment the abdominal organs in the CT image. The proposed algorithm is insensitive to noise. The weighted fuzzy factor and the kernel distance measure by Gaussian kernel provide accurate segmentation result. The project is developed in MATLAB 2010.
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