LOCAL ENHANCED METHODOLGY FOR NOISE FILTERING AND EDGE DETECTION USING FUZZY LOGIC ON 2 DIMENSIONAL IMAGES ,EXTENSION TO N DIMENSION

摘要: Image processing is any form of information for which both the input and output are images, such as photographs or frames video. Most image techniques involve treating a two-dimensional signal applying standard digital to it. There various an linear scaling, optical methods, processing, fuzzy techniques. The general idea behind filter average pixel using other pixels from its neighborhood simultaneously taking care features edges, blurriness haziness testing images. main concern proposed distinguish between variation captured due noise structure. can be external reasons air, climate troubles, remote sensing , water on structures. most interesting enhancement involves edge detection well removal loss edges make picture blurred unfocused. However smoothing methods traditionally conflicting tasks. In this paper new mechanism developed reduction images corrupted by additive protecting edges. consists 3 stages.(1). Define sets in space compute derivative.(2).To construct if then else rule perform according contribution surrounding values (3). outer get maximum free edged image. Experimental results obtained show feasibility two dimensional