Image enhancement and thresholding by optimization of fuzzy compactness
نویسندگان
چکیده
Algorithms based on minimization of compactness and of fuzziness are developed whereby it is possible to obtain both fuzzy and nonfuzzy (thresholded) versions of an ill-defined image. The incorporation of fuzziness in the spatial domain, i.e., in describing the geometry of regions, makes it possible to provide more meaningful results than by considering fuzziness in grey level alone. The effectiveness of the algorithms is demonstrated for different bandwidths of the membership function using a blurred chromosome image having a bimodal histogram and a noisy tank image having a unimodal histogram as input.
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عنوان ژورنال:
- Pattern Recognition Letters
دوره 7 شماره
صفحات -
تاریخ انتشار 1988