Title :
An image segmentation algorithm using genetic strategy
Author_Institution :
Wenzhou Vocational Coll. of Sci. & Technol., Wenzhou, China
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;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486029
