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