| 基于三维阈值和PPPSO的图像分割方法 |
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| 引用本文： | 何 伟,齐 琦,张国云.基于三维阈值和PPPSO的图像分割方法[J].计算机工程与应用,2014,50(5):175-179. |
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| 作者姓名： | 何 伟 齐 琦 张国云 |
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| 作者单位： | 湖南理工学院 信息与通信工程学院，湖南 岳阳 414006 |
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| 基金项目： | 湖南省教育厅重点项目（No.10A046）;湖南理工学院校级科研计划项目（No.2011Y31）. |
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| 摘 要： | 提出一种基于三维阈值和捕食-被捕食粒子群（PPPSO）的图像分割方法。该方法在保留传统二维最大类间方差（Otsu）分割算法优点的基础上，充分利用图像自身模糊信息-模糊中值，该特征维与像素灰度值、邻域均值组成一个三维矢量集；另外，通过采用捕食-被捕食的粒子群优化方法搜索最佳分割阈值，大大缩短了搜索时间，且能快速收敛到全局最优。实验结果表明，该方法具有较好的抗噪性和实时性。
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| 关 键 词： | 图像分割 三维阈值 捕食-被捕食 粒子群优化 |
Image segmentation method based on 3-D threshold and predator-prey particle swarm optimization |
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| HE Wei,QI Qi,ZHANG Guoyun.Image segmentation method based on 3-D threshold and predator-prey particle swarm optimization[J].Computer Engineering and Applications,2014,50(5):175-179. |
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| Authors: | HE Wei QI Qi ZHANG Guoyun |
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| Affiliation: | College of Information and Communication Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China |
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| Abstract: | A method of image segmentation based on 3-D threshold and Predator Prey Particle Swarm Optimization （PPPSO）is proposed. The method not only retains the traditional 2-D Otsu method’s advantages, but also makes full use of the fuzzy information of the image-fuzzy median value, which with gray value and average gray value constitute a 3-D feature vector. In addition, PPPSO is used to search for the best threshold, which can reduce the search time greatly and converge to global optimum rapidly. Experimental results show that the improved method has a good anti-noise and real-time performance. |
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| Keywords: | image segmentation 3-D threshold predator-prey particle swarm optimization |
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