Multi-Level Thresholding: Maximum Entropy Approach Using ICM

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Venue:
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Year:
2000

Citing 0
Cited 2

A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation

Computer Vision and Image Understanding
A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem

Engineering Applications of Artificial Intelligence

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Abstract

The maximum entropy approach is one of the most important threshold selection methods. Many authors avoid the computationally prohibitive problem when the maximum entropy criterion is applied to multi-level threshold selection. This paper deals with this problem using the ICM method. Experiments show that using the ICM with our initialization algorithm method gets satisfactory, if not optimal, results and the problem of computation is excellently solved.