免疫遗传算法在图像分割中的应用

The Image Segmentation Method Based on Immune-genetic Algorithms

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.

Abstract: 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.