An Adaptive Algorithm Based on Image Segmentation
A new algorithm for adaptive threshold segmentation based on combining Fisher criterion with location optimization is proposed in this paper. Fisher criterion is taking as the fitness function of Genetic Algorithm (GA), and an adaptive method which is used to calculate crossover probability and mutation probability is presented. Meanwhile, we add a new local optimization operator that solves the disadvantages of poor astringency and premature occurrence in GA. Experimental results show that the algorithm achieves better performance on convergence and robustness, can efficiently segment the details and converge the optimal threshold.
threshold segmentation Fisher criterion local optimization operator adaptive Genetic Algorithm
Lang Liu Yong Liu Ying Lin
College of management, Chongqing Jiao Tong University, Chongqing, China, 400074
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
734-736
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）