Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
Abstract
In this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process. To validate the proposed method, we test it on some grayscale images and on a normal brain; brought from the BrainWeb Simulated Brain Database. The experimental results are important in both robustness to noise and running times standpoints.The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
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