| 图像边缘检测中的改进算法 |
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| 引用本文： | 曹春萍,梁慧.图像边缘检测中的改进算法[J].上海理工大学学报,2013,35(2):157-160. |
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| 作者姓名： | 曹春萍 梁慧 |
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| 作者单位： | 上海理工大学 光电信息与计算机工程学院,上海200093;上海理工大学 光电信息与计算机工程学院,上海200093 |
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| 摘 要： | 针对传统的蚁群边缘检测算法存在耗时长和易受噪声影响的缺点,提出了一种改进的蚁群边缘检测算法.该算法对蚂蚁路径选择中的启发式信息值的计算方法进行改进,使其计算基于邻域中节点的梯度,能更好地引导蚂蚁向边缘节点进行移动.通过仿真实验表明:该算法与传统的蚁群算法相比,能够减少耗时、抑制噪声及准确快速地检测出图像边缘.
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| 关 键 词： | 边缘检测 蚁群 启发式信息 |
Modified Algorithm for Image Edge Detection |
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| CAO Chunping and LIANG Hui.Modified Algorithm for Image Edge Detection[J].Journal of University of Shanghai For Science and Technology,2013,35(2):157-160. |
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| Authors: | CAO Chunping and LIANG Hui |
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| Institution: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | Edge detection is playing an important part in image process,and is the foundation of successive work.There are various approaches to detect edges including the one based on ant colony algorithm.In view of that the traditional ant colony algorithm for the edge detection is usually time consuming,an improved ant colony algorithm was proposed.A new calculation method for heuristic information was presented by which,the movement of ants can be better guided.Experiments show that the proposed algorithm can extract the weak edges more quickly and accurately. |
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| Keywords: | edge detection ant colony heuristic information |
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