DocumentCode :
3318376
Title :
The Application of a New Entropy Function and Mutative Scale Chaos Optimization Strategy in Two-Dimensional Entropic Image Segmentation
Author :
Ma, Cheng ; Liu, Chao ; Ma, Shaoxian ; Jiang, Chengshun
Author_Institution :
Inst. of Inf. Eng., Inf. Eng. Univ., Zhengzhou
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1647
Lastpage :
1652
Abstract :
A novel two dimensional entropic image segmentation method is presented in this paper The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a strategy of mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate that efficiency of segmentation is improved significantly due to the new entropy function and search method
Keywords :
chaos; entropy; image segmentation; optimisation; search problems; 2D entropic image segmentation; entropy function; function correctness proving; mutative scale chaos optimization; optimal threshold; Chaos; Computational modeling; Entropy; Genetic algorithms; Image segmentation; Mathematical model; Optimization methods; Pixel; Search methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.295341
Filename :
4076247
Link To Document :
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