THE COMPARATIVE ANALYSIS OF FUZZY FILTERING TECHNIQUES
In digital image processing, detecting and removing the noise from images in efficient manner is always an open part of research. But has been learned that the all the present research has neglected the utilization of data mining technique which can be used to detect noise present in images and the effective use of traditional filters helps to remove noise inside images. The experimental results computed on MATLAB software with Image Processing toolbox. The comparison of existing filters such as FMM is done with the proposed filters such as FBD filter in order to remove low density of noise. The performance evaluation of the gray scale images with Peak signal to noise ratio, Mean square error and Root mean square error shows the promising results of proposed filters. Keywords—Data mining, bilateral filter, decision based alpha trimmed median filter, FMM, FBD