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。
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.
出处
《现代计算机》
2010年第10期15-18,共4页
Modern Computer
关键词
图像分割
粒子群算法
阈值
Image Segmentation
Particle Swarm Optimization
Threshold
