A Hierarchical Approach in Multilevel Thresholding Based on Maximum Entropy and Bayes' Formula

Chang, Y., Fu, A.M.N. and Yan, H.

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. .

Cite as: Chang, Y., Fu, A.M.N. and Yan, H. (2002). A Hierarchical Approach in Multilevel Thresholding Based on Maximum Entropy and Bayes' Formula. In Proc. Selected papers from 2001 Pan-Sydney Area Workshop on Visual Information Processing (VIP2001), Sydney, Australia. CRPIT, 11. Feng, D. D., Jin, J., Eades, P. and Yan, H., Eds. ACS. 109-113.

(from crpit.com) (local if available)