西安工程大学学报2012，Vol.26Issue(3)：337-341,5.
结合粒子群算法优化归一割的图像阈值分割方法
Image threshold segmentation approach of normalized cut and particle swarm optimization algorithm
摘要
Abstract
In order to get the optimal threshold in image segmentation quickly .based on the graph theory, gray-scale similar matrix takes the place of pixel-level weight matrix, normalized cut criterion is regarded as the optimization function. Using particle swarm optimization algorithm to find the best threshold in gray-scale space. Experiments show that the method is not only less computational costs, but also get a satisfactory segmentation result. The thresholds is more stable and consume less time greatly and better satisfies the request of real-time processing in image segmentation by using this new method.关键词
阈值分割/归一化割/粒子群算法/图像分割Key words
threshold segmentation/ normalized cut/ particle swarm algorithm/image segmentation分类
信息技术与安全科学引用本文复制引用
任爱红..结合粒子群算法优化归一割的图像阈值分割方法[J].西安工程大学学报,2012,26(3):337-341,5.基金项目
陕西省教育厅科研计划项目(11JK0506) （11JK0506）
宝鸡文理学院科研计划项目(YK1026) （YK1026）
