Automatic Image Segmentation using Ultra Fuzziness
نویسندگان
چکیده
In this paper, an automatic histogram threshold approach based on a fuzzy measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum/maximum of a entropy criterion function are avoided. Hamid R Tizhoosh defined a membership function to measure the image fuzziness, which makes the methodology totally supervised. We attempt to automate the process by taking an alternate approach. For low contrast images contrast enhancement is assumed. Experimental results demonstrate a quantitative improvement.
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