Adaptive Fuzzy C-Means Clustering Algorithm on Level Set Method for Noisy Images
Keywords:
Image segmentation, AFCM, level set method, imagesAbstract
In this paper, Adaptive fuzzy c-means (AFCM) was used to generate an initial contour curve which overcomes leaking at the boundary during the curve propagation. Firstly, AFCM algorithm computes the fuzzy membership values for each pixel. On the basis of AFCM the edge indicator function was redefined. Using the edge indicator function the segmentation of medical images which are added with salt and pepper noise was performed to extract the regions of interest for further processing. The results of the above process of segmentation showed a considerable improvement in the evolution of the level set function.
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