Title :
Segmenting image based on fuzzy alternation entropy and genetic algorithm
Author :
Youfu Wu ; Jianjun Zuo ; Jing Wu
Author_Institution :
Guizhou Univ. for Nat., Guiyang, China
Abstract :
In this paper, in order to overcome the deficiencies of Polana´s method and fuzzy alternation entropy method, we presented a technique of image segmentation based on fuzzy alternation entropy and genetic algorithm. The experiment results show that our method is robust and effective.
Keywords :
entropy; fuzzy set theory; genetic algorithms; image segmentation; Polana method; fuzzy alternation entropy method; genetic algorithm; image segmentation; Biological cells; Computational modeling; Entropy; Genetic algorithms; Histograms; Image segmentation; Image sequences; Fuzzy Alternation Entropy; Genetic Algorithm; Image Segmentation; Polana´s Method;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019667
