Advanced MRI Image Segmentation using Fuzzy-C Means Clustering approach

摘要

An automatic image segmentation in medical images such as MRI has been playing imperative role in solving many problems in image processing and pattern recognition. Recently, various computational models are used to implement image segmentation. Image segmentation is done in this paper using the method called fuzzy clustering. It is mainly for improving the image manifestation in terms of increasing resolution for superior analysis of medical image (MRI). The performance of our algorithm based on fuzzy clustering models is discussed and compared to other segmentation methods like Multiwavelet, Lapalcian pyramid. Experimental results on segmentation of MRI reveal that the algorithm proposed is effective and robust method towards noisy images.