A hierarchical approach in multilevel thresholding based on maximum entropy and Bayes' formula

Authors:
Yan Chang;Alan M. N. Fu;Hong Yan
Affiliations:
School of Electrical and Information Engineering, The University of Sydney, NSW 2006, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW 2006, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW 2006, Australia
Venue:
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Year:
2001

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Abstract

An efficient hierarchical approach for image multi-level thresholding is proposed based on the maximum entropy principle and Bayes' formula, in which no assumptions of the image histogram are made. Five forms of conditional probability distributions are employed for optimal threshold determination. Our experiments demonstrate that the proposed method is effective and achieves a significant improvement in speed compared to the exhaustive search method.