Removal of Noises from Images by Improved Median Filter & Analysis of FCM Algorithm

 In different types of images there are different types noises are present such as impulse noise, speckle noise, position noise. Out of which impulse noise is a basic noise, which present in medical image as well as in binary and gray images and it brings blurring in the image, edges being distorted, and poor quality. The impulse noise is very hazardous to medical images so that reduction of such noise from images is major issue. For elimination of impulse noise many linear and non linear filters are used. But linear filters blur the image. Therefore noise reduction method by means of improved median filter is proposed. Clustering performance of FCM algorithm on different median filters is analysed. The performance and results obtained by proposed method are compared with standard median filter, Adaptive median filter, hybrid median filter & relaxed median filter.