Segmentation based non local means filter for denoising MRI

Magnetic resonance images contain various types of noise which become an obstacle in the correct diagnosis of any disease. Therefore noise reduction becomes a major task while working with MRI. Denoising of MR images removes the undesirable noise but simultaneously preserves the image features too. Various noise removal techniques have been proposed for handling MR Images. The task of denoising becomes less complex if segmentation is performed along with. This paper suggests a novel method for reducing the effect of noise by amalgamating segmentation technique with a group of denoising filters. The denoising filters include the use of median filter, wiener filter and the Non local means filter.