摘要
在论述了粒子群算法的基本原理和特点的基础上,将粒子群算法应用于最大交叉熵阈值的确定中,提出了相应的算法并用于图像分割。结果表明,在设定了合适的粒子群算法参数条件下,粒子群算法不仅可以实现正确地图像分割,而且大大提高了分割速度。
Maximum cross entropy could obtain good segmental result in the use of the image segmentation. But it needed a lot of computational time which limited its application. On the basis of discussing the elementary principles and features of PSO （Particle Swarm Optimization） algorithms, how to apply PSO algorithms in the selection of image thresholds was discussed and the detail procedures were described. The experimental results showed that the PSO not only realized the right image segmentation but also improved the segmental speed greatly after the proper parameters of PSO being configured.
出处
《安徽农业科学》
CAS
北大核心
2007年第23期7037-7038,7041,共3页
Journal of Anhui Agricultural Sciences
基金
地理空间信息工程国家测绘局重点实验室资助项目(200624)
关键词
粒子群算法
图像分割
阈值选取
交叉熵
Particle swarm algorithms
Image segmentation
Thresholding selection
Cross entropy
