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《Computer Development & Applications》 2004-09
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Adaptive Fuzzy Edge Detection Algorithm based on Local Image Sharpening

In order to accurately locate the fuzzy edge,the reason that over much noises are introduced as using small scale filters to detect the fuzzy edge are analyzed in this paper.Based on the distribution rule of the noises,a calculative method for the threshold that used for image sharpening is presented.The fuzzy edge in local image can be sharpened according to the calculated threshold and the edge can be detected as well.This algorithm can effectively eliminate the noises appear around the fuzzy edge and improve the ability of small scale filters to dectect the fuzzy edge.The experimental results have proved that the algorithm is an effective approach to detect the fuzzy edge.
【CateGory Index】: TP274
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