摘要
为了提高在连续多帧图像中背景提取的计算速度,提出了一种利用免疫思想的改进型遗传算法．该算法利用灰度图像的直方图熵作为评价标准对图像进行背景分割．相对于传统方法,可以大幅度提高连续多帧图像的背景提取速度．
An image segmentation method based on modified genetic algorithms is presented in this paper. The segmentation method is optimized and the entropy of histogram is taken as the segmentation quality criteria. This method can improve the speed of algorithms compared with traditional methods, especially in processing frame sequential images.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2006年第6期510-513,共4页
Journal of Beijing University of Technology
关键词
遗传算法
免疫算法
图像分割
genetic algorithms
immune algorithms
image segmentation
