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A robust approach for medical image denoising using fuzzy clustering


Navid Saffaripour, Amir Hossein Javanshir


Vol. 17  No. 6  pp. 241-247


Image segmentation plays an important role in medical imaging applications. In this paper, a new method for removing noise in medical images is provided. What is important is to be able algorithm implemented with minimum complexity of computational mathematics and minimum running time functionality is optimized and can reduce noise while the edges, not harm, and the noise are minimized. For this purpose, the normalized image and our image segmentation so that section to separate the important and less important. Using fuzzy clustering can greatly improve noise. The experimental results showed good performance in removing noise method with low computational complexity.


medical images, remove noise, image segmentation, fuzzy clustering