| 引用本文: | 王晓年,冯远静,冯祖仁.一种基于主动轮廓模型的蚁群图像分割算法[J].控制理论与应用,2006,23(4):515~522.[点击复制] |
| WANG Xiao-nian, FENG Yuan-jing, FENG Zu-ren.Ant colony optimization with active contour models for image segmentation[J].Control Theory and Technology,2006,23(4):515~522.[点击复制] |
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| 一种基于主动轮廓模型的蚁群图像分割算法 |
| Ant colony optimization with active contour models for image segmentation |
| 摘要点击 1983 全文点击 1467 投稿时间：2005-01-25 修订日期：2005-10-31 |
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| DOI编号 |
| 2006,23(4):515-522 |
| 中文关键词 主动轮廓模型 蚁群优化算法 图像分割 |
| 英文关键词 active contour models ant colony optimization image segmentation |
| 基金项目 国家自然科学基金资助项目(60475023,60175015)． |
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| 中文摘要 |
| 通过对主动轮廓模型进行图像分割的过程研究发现,其多阶段决策问题与蚁群算法的决策过程非常相似．文中根据主动轮廓模型的特点构建了一类新的蚁群求解算法,把图像分割问题转化成最优路径的搜索问题,为获取精确的图像轮廓提供了新方法．证明了该方法以概率1收敛到最优解,即可以在能量函数的约束下找到最好的边界．本方法还可以推广到其他主动轮廓模型的图像分割问题中．仿真结果表明,本文提出的分割方法比文献中的遗传算法更为有效． |
| 英文摘要 |
| It is found that the multistage decision algorithm is similar to ant colony optimization (ACO) for image segmentation with active contour models (ACM). A new algorithm based on ACM is proposed in the paper, which converts the problem of image segment to a problem of searching for the best path in a constrained region and thus provides a new approach to obtain precise contour, The algorithm is then proved to be convergent with probability one, and will reach the best feasible boundary with minimum energy function value. Moreover, this algorithm can also be used to solve other mutational ACM problems. The simulation results show that the proposed approach is more effective than the genetic algorithm in literature. |
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