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| 基于粒子群的图像分割 | |
| 引用本文： | 包莹莹,沈梦伟. 基于粒子群的图像分割[J]. 电脑与微电子技术, 2010, 0(10): 15-18 |
| 作者姓名： | 包莹莹 沈梦伟 |
| 作者单位： | [1]江南大学太湖学院,无锡214064 [2]国家电网科学研究南瑞信息研究所,南京210000 |
| 摘 要： | 图像分割是图像处理的关键问题之一,为了能够快速有效地选取最优阈值进行图像分割,引入了粒子群算法（PSO）对阈值分割进行优化,提出基于PSO的最大熵图像分割,基于PSO的最大类间方差图像分割以及基于PSO的最小误差图像分割,并进行了分析和研究,可以得出该三种方法可以准确、快速地获取最优阈值进行图像分割。 |
| 关 键 词： | 图像分割 粒子群算法 阈值 |
Image Segmentation Based on Particle Swarm Optimization |
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| BAO Ying-ying,SHEN Meng-wei. Image Segmentation Based on Particle Swarm Optimization[J]. , 2010, 0(10): 15-18 | |
| Authors: | BAO Ying-ying SHEN Meng-wei |
| Affiliation: | 1.Taihu College,Jiangnan University,Wuxi 214064;2.Institute of National Grid,NARI Information Science Research,Nanjing 210000) |
| Abstract: | The image segmentation is one of the important problem of image processing.Introduces the particle swarm optimization to optimize the threshold segmentation,in order to find the best threshold quickly and exactly.Advances the maximum entropy method based on particle swarm optimization,the maximum between class variance method based on particle swarm optimization,and the little error based on particle swarm optimization,and we will see the three methods can find the best threshold quickly to segmentalizing by analyzing and researching. |
| Keywords: | Image Segmentation Particle Swarm Optimization Threshold |
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