DocumentCode
2217782
Title
Image segmentation algorithm research and improvement
Author
Ming, Lu
Author_Institution
Jilin Bus. & Technol. Coll., Changchun, China
Volume
5
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Through the systematic research on image segmentation and genetic algorithm applications in image segmentation, this paper proposes some improvements for the traditional genetic algorithm and applies the improved genetic algorithm in image segmentation. The experimental results show that the improved genetic algorithm this paper proposed can quicken the convergence, while maintaining the population diversity, and its stability is significantly better than the basic genetic algorithm.
Keywords
genetic algorithms; image segmentation; genetic algorithm; image segmentation algorithm; Clustering algorithms; Educational institutions; Genetics; Image segmentation; Manganese; Visualization; genetic algorithm; image segmentation; threshold segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579114
Filename
5579114
Link To Document