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Unimodal thresholding
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DOI：10.1016/S0031-3203(00)00136-9.png)
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Abstract
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Most thresholding algorithms have difficulties processing images with unimodal distributions. In this paper an algorithm, based on Ending a corner in the histogram plot, is proposed that is capable of performing bilevel thresholding of such images. Its effectiveness is demonstrated on synthetic data as well as a variety of real data, showing its successful application to edges, corners, difference images, optic flow, texture difference images, polygonal approximation of curves, and image segmentation. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keywords:
thresholding
histogram
maximum deviation
unimodal distribution
bimodal distribution
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