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| FUZZY ITERATION EDGE DETECTOR |
| Cai Jing; Liu Feng; Ding Runtao |
| School of Electronic Information Engineering Tianjin University Tianjin 300072 |
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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 as a fuzzy set, and divides two sub-sets by their membership functions, and then iterates in the two sub-sets, lastly detects the edge by the difference of the two values from the two sub-sets. The computer simulation shows that the edge detector is good for attenuation not only of Gaussian noise but also of impulse noise and mixture noise.
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Received: 14 April 1999
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2001, Vol. 23 
