Title :
The image segmentation algorithm based on 2-D maximum entropy
Author :
Liu, Binghan ; Guo, Mingshan ; Wang, Weizhi
Author_Institution :
Coll. of Math. & Comput. Sci., Univ. of Fuzhou, Fuzhou
Abstract :
2D maximum entropy algorithm is of quite good effect in image segmentation, but it requires long time on the complex calculation. Considering CGApsilas (chaos genetic algorithm) ability to retain the species diversity and great astringencypsila a new 2-D maximum entropy method based on CGA was put forward. It has been proved that the new algorithm is of better capacity to search for the best , performs more steadily and results in better segmentation effect.
Keywords :
genetic algorithms; image segmentation; maximum entropy methods; 2D maximum entropy; chaos genetic algorithm; image segmentation; Automation; Chaos; Diversity reception; Educational institutions; Entropy; Genetic algorithms; Histograms; Image segmentation; Intelligent control; Mathematics; 2-D maximum entropy; chaos genetic algorithm; image segmentation;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593503
