Huang's fuzzyglobal thresholdingg method

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Please enter a valid number.Image thresholding by minimizing the measures of fuzziness - ScienceDirect
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JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page., January 1995, Pages 41-51Department of Industrial Engineering, National Tsing Hua University, Hsinchu, Taiwan 300, R.O.C.Show moreAbstractThis paper introduces a new image thresholding method based on minimizing the measures of fuzziness of an input image. The membership function in the thresholding method is used to denote the characteristic relationship between a pixel and its belonging region (the object or the background). In addition, based on the measure of fuzziness, a fuzzy range is defined to find the adequate threshold value within this range. The principle of the method is easy to understand and it can be directly extended to multilevel thresholding. The effectiveness of the new method is illustrated by using the test images of having various types of histograms. The experimental results indicate that the proposed method has demonstrated good performance in bilevel and trilevel thresholding.KeywordsImage thresholding; Measure of fuzziness; Fuzzy membership functionCheck if you have access through your login credentials or your institution.ororRecommended articlesCiting articles (0)

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