Features preserving filters using fuzzy Kohonen clustering network in detection of impulse noise

摘要

It is always advisable to apply filtering only on corrupted pixels of the images leaving untouched the uncorrupted ones to preserve image features and to avoid blurring effects. We present in this paper an algorithm which can detect the corrupted pixels in the texture images. It uses a fuzzy Kohonen clustering network that integrates with the Fuzzy c-means (FCM) model utilizing the updating strategies of the first and the learning rate of the second.