Title :
Image segmentation algorithm research and improvement
Author_Institution :
Jilin Bus. & Technol. Coll., Changchun, China
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579114