DocumentCode
2995994
Title
Fuzzy iteration edge detector
Author
Cai, Jing ; Yang, Jinsheng ; Ding, Runtao
Author_Institution
Sch. of Electron. Inf. Eng., Tianjin Univ., China
fYear
2000
fDate
2000
Firstpage
132
Lastpage
135
Abstract
This paper mainly studies the edge detection of noisy images. An edge detector based on the fuzzy theory is presented. The algorithm first makes the pixels in the window a fuzzy set, and then divides two sub-sets by their membership functions, and then iterates in the two sub-sets. Finally it detects the edge by the difference of the two values from the two sub-sets. The computer simulation shows that the edge detector is not only good at attenuation of Gaussian noise but impulse noise and mixture noise
Keywords
Gaussian noise; edge detection; fuzzy set theory; impulse noise; iterative methods; Gaussian noise; edge detector; fuzzy iteration; fuzzy theory; impulse noise; membership functions; mixture noise; noisy images; Attenuation; Computer simulation; Detectors; Filters; Fuzzy sets; Gaussian noise; Image edge detection; Image processing; Pattern recognition; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location
Tianjin
Print_ISBN
0-7803-6253-5
Type
conf
DOI
10.1109/APCCAS.2000.913424
Filename
913424
Link To Document