A multilevel thresholding method based on cross entropy and genetic algorithms
Journal
2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Pages
385-386
Date Issued
2009
Author(s)
SHU-CHIEN HUANG
Abstract
Threshold selection is one of the most important issues in image processing. In this paper, a general technique for multilevel thresholding based on cross entropy is proposed. Then, a genetic algorithm is designed especially for searching for the near-optimal or optimal thresholds. The effectiveness and efficiency of the proposed method is demonstrated by using well-known images.
Type
conference paper