A STUDY ON IMAGE SEGMENTATION BY AN IMPROVED ADAPTIVE ALGORITHM

摘要：

In the first place, an improvement was made on crossover and mutation of adaptive genetic algorithm (AGA) to let the crossover probability and mutation probability adapt nonlinearly.Then a comparison was made between Improved Adaptive Genetic Algorithm (IAGA) and Adaptive Genetic Algorithm (AGA) in segmentation time and adaptive function curve.The results indicated that IAGA can give attention to the main information of experiment images.And much less time was used by the algorithm.The process of searching for global optimum also became more stable than AGA.

关键词： Image segmentation Improved adaptive genetic algorithm (IAGA) Crossover Mutation

作者: QING LI WEN-HAO HE HAN-HONG JIANG XUAN-ZHONG LI

作者单位: School of Information Eng., Wuhan Univ.of technology, Wuhan 430070, China School of electrical and Information Eng.Naval Univ.of Engineering, Wuhan 430070, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1570-1573

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）