模糊迭代邊緣檢測器
FUZZY ITERATION EDGE DETECTOR
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摘要: 該文主要研究了受不同噪聲污染圖像的邊緣提取問題,提出了一種基于模糊理論的邊緣檢測算法。該算法將濾波窗內的像素看成模糊集,根據其不同的隸屬度將窗內像素分成兩個子集,在兩個子集內進行模糊均值迭代運算,然后將收斂后的兩個值通過差分運算來提取邊緣。計算機模擬表明,此種方法對于高斯噪聲、脈沖噪聲及混合噪聲都有較好的抑制能力。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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