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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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【References】
Chinese Journal Full-text Database 1 Hits
1 DONG Hu-sheng1,2 (1.School of Computer Science & Technology,Soochow University,Suzhou 215006,China;2.Suzhou Institute of Trade & Commerce,Suzhou 215009,China);Algorithm for Image Gradient Sharpening by VC++ Programming[J];Computer and Modernization;2009-02
【Citations】
Chinese Journal Full-text Database 1 Hits
1 ZHOU De-long, PAN Quan, ZHANG Hong-cai (Department of Automatic Contral Northwesten Polytechnical University, Xi'an 710072);An Improved Algorithm of Edge Detection Based on Fuzzy Sets[J];Journal of Image and Graphics;2001-04
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 CHENG Zhi-you,WANG Nian,LIANG Dong 230039,China) ;An efficient algorithm of fuzzy edge detection on industrial material auto-recognition[J];Journal of Anhui University(Natural Sciences);2003-01
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3 ;An Improved Fast Fuzzy Edge Testing Algorithm[J];Computer Development & Applications;2005-01
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5 FU Xiao-ning1, YIN Shi-min2,WU Zhi-peng2, LIU Shang-qian2 (1. School of Mechanical & Electronic Engineering, Xidian University, Xi'an 710071, China; 2. School of Technological Physics, Xidian University, Xi'an 710071, China);A dynamic threshold segmentation of infrared image[J];Opto-electronic Engineering;2002-06
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【Secondary References】
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1 YANG Hua-rong,FAN You-wen,LIU Gang,XU Rong-yu(Wuhan Second Ship Design and Research Institue,Wuhan 430064,China);A kind of method to transform spectrum diagram into electronic data[J];Ship Science and Technology;2010-09
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