DocumentCode
518327
Title
An image segmentation algorithm using genetic strategy
Author
Xiao, RuoHui
Author_Institution
Wenzhou Vocational Coll. of Sci. & Technol., Wenzhou, China
Volume
6
fYear
2010
fDate
16-18 April 2010
Abstract
Genetic algorithm is an iterative intelligent optimization algorithm which has characteristics of the robustness, parallelism, self-adaptivty and rapid convergence, etc. it is often used to help determine the split threshold in the application of image segmentation. This paper will more comprehensive refers to the basic information of genetic algorithms as well as the related theory of image segmentation and proposes an image segmentation algorithm based on genetic strategy.
Keywords
genetic algorithms; image segmentation; iterative methods; genetic algorithm; image segmentation algorithm; iterative intelligent optimization algorithm; split threshold; Biological cells; Biological system modeling; Biomedical imaging; Computational modeling; Computer science; Decoding; Genetic algorithms; Image segmentation; Iterative algorithms; Robustness; Genetic algorithm; image segmentation; split threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486029
Filename
5486029
Link To Document