Title :
Image segmentation algorithm based on improved GA and OTSU
Author :
Tang Zhaoxia ; Chen Ting
Author_Institution :
Dept. of Comput. Eng., Huaiyin Inst. of Technol., Huaan, China
Abstract :
Image segmentation is a key technology on image processing, pattern recognition and artificial intelligence and so on, this article uses the improving genetic algorithms and OSTU to improve two-dimensional image segmentation, the algorithm while maintaining the population diversity to speed up the convergence and to improve the stability of global convergence algorithm, to achieve the best image of the automatic threshold segmentation.
Keywords :
artificial intelligence; genetic algorithms; image segmentation; pattern recognition; OTSU; artificial intelligence; automatic threshold segmentation; genetic algorithms; image processing; image segmentation; pattern recognition; Algorithm design and analysis; Convergence; Genetic algorithms; Gray-scale; Hamming distance; Image edge detection; Image segmentation; genetic algorithm; image segmentation; threshold;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6022841
