| 基于粒子群优化算法的阈值图像分割研究 |
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| 引用本文： | 汪筱红,须文波. 基于粒子群优化算法的阈值图像分割研究[J]. 自动化技术与应用, 2007, 26(10): 61-63 |
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| 作者姓名： | 汪筱红 须文波 |
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| 作者单位： | 无锡广播电视大学信息工程系,江苏,无锡,214021;江南大学信息工程系,江苏,无锡,214021 |
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| 摘 要： | 研究将群体智能中的粒子群优化算法应用到图像分割中,提出了一种新的图像分割算法.新方法基于最佳熵阈值分割技术,用粒子群优化算法自适应选取分割阈值.仿真实验针对Lena图像分割问题,将遗传算法与粒子群优化算法分别独立运行,对得到的阈值以及均值、方差进行了比较,并将运行时间作为算法复杂度的评价指标.统计结果显示,论文算法不仅能够对图像进行准确的分割,而且运行时间明显较短.仿真结果表明,基于粒子群优化的图像分割算法是可行的、有效的.
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| 关 键 词： | 图像分割 粒子群优化算法 遗传算法 |
| 文章编号： | 1003-7241（2007）10-0061-03 |
| 收稿时间： | 2007-05-21 |
| 修稿时间： | 2007-05-21 |
Threshold Image Segmentation Based On the Particle Swarm Optimization algorithm |
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| WANG Xiao-hong,XU Wen-bo. Threshold Image Segmentation Based On the Particle Swarm Optimization algorithm[J]. Techniques of Automation and Applications, 2007, 26(10): 61-63 |
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| Authors: | WANG Xiao-hong XU Wen-bo |
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| Affiliation: | DepL of Computer Science and Engineering ,Wuxi Radio And TV University,wuxi 214021 China; Dept. of Computer Science and Engineering, Jiannan University,wuxi 214021China |
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| Abstract: | A novel algorithm based on particle swarm optimization is presented in this paper. It shows that the algorithm presented in this paper can find better solutions with much little complexity. Experiment with the Lena image shows that this method is feasible and effective. |
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| Keywords: | image segmentation particle swarm optimization algorithm genetic algorithm |
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