Algorithm steps: (1) the histogram of the image is calculated, the gray level is Ns, and the average gray value of the image is Tc. (2) calculate the information entropy of the first gray level and the rest of grayscale, and sum up the information entropy of the first two grayscale and the rest gray level, and calculate Ns sum by analogy. (3) to find the location of the maximum value of H near Tc, Tenf is the threshold; (4) 1 pixels larger than the threshold in the image, and the rest 0 to achieve the two value segmentation. The core of the algorithm: information entropy is more uncertainty, the segmented image.

Filename	Size	Update
entropy_fuzzy_threshold\entropy_fuzzy_threshold.m	1419	2016-11-08
entropy_fuzzy_threshold\case1.jpg	87394	2015-02-11
entropy_fuzzy_threshold	0	2018-03-09

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