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摘要: 针对目前图像模糊阈值分割法所存在的窗口宽度自动选取困难的问题,在预先给定隶 属函数和图像像素类别数的情况下,提出了图像模糊阈值分割法的自适应窗宽选取方法.同时, 针对用模糊阈值方法难于分割的具有单峰或双峰差别很大的直方图的图像,提出了一种直方图 变换方法,对变换后的直方图,利用自适应模糊阈值分割法可以获取有效的分割.最后,算例表 明了文中所提方法的简洁性、有效性和很好的鲁棒性.Abstract: The problem of automatic selection of window size is investigated for image thresholding by index of fuzziness. Under a predetermined membership function and given the class numbers of image pixels, an adaptive window size selection method for image thresholding by index of fuzziness is put forward. At the same time, images which are difficult to be segmented using thredholding by index of fuzziness because of histograms possessing one mode or two modes with great disparity in between are studied. A histogram transformation method is presented, and through the transformed histogram, images can he segmented effectively using the adaptive thresholding by index of fuzziness. Finally, examples show that the method put forward in this paper is simple, effective, and robust.
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Key words:
- Image segmentation /
- fuzziness sets /
- threshold selection /
- adaptive /
- histogram
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