Title :
Fuzzy iteration edge detector
Author :
Cai, Jing ; Yang, Jinsheng ; Ding, Runtao
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., China
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;
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
DOI :
10.1109/APCCAS.2000.913424
