基于免疫算法的图像阈值分割  

Image Thresholding Segmentation Based on Immune Algorithm

作　　者：嵇景娣[1] 林家骏[1] 

机构地区：[1]华东理工大学自动化研究所,上海200237

出　　处：《现代计算机》2007年第12期53-55,共3页Modern Computer

摘　　要：在图像分割中引入人工免疫算法,利用免疫算法优化最小误差法来获取最佳阈值,图像分割的效果和速度也得到了提高,性能也更加稳定。仿真实验证明,该算法对复杂图像的良好分割效果和较强的实时处理能力。Introduces artificial immune algorithm into image segmentation, makes use of immune genetic algorithm and the minimum error method getting good threshold. The effects and speed of image segmentation have been improved and the performances become more steady. Experimental results show that the algorithm can find better solutions ＂to more complicated images, and gain a better performance in real-time processing.

关 键 词：图像分割 最小误差法 阈值 免疫算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]