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Published in:
2003 | OriginalPaper | Chapter
Entropic Thresholding Algorithms and their Optimizations
Authors : C. H. Li, C. K. Lee, P. K. S. Tam
Published in: Entropy Measures, Maximum Entropy Principle and Emerging Applications
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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Entropic thresholding algorithms are important tools in image processing. In this article, fast iterative methods are derived for the minimum cross entropy thresholding and maximum entropy thresholding algorithms using the one-point iteration scheme. Simulations performed using systhetic generated histograms and a real image show the speed advantage and the accuracy of the iterated methods.