摘要
部分Hausdorff距离和免疫遗传算法相结合的图像匹配算法包括:定义编码与适应度函数、确定交叉变异算子及免疫操作。部分HD距离作为模板匹配的相似性测度,可有效减少匹配计算量;免疫遗传算法具有较强的鲁棒性和强大的并行搜索能力。两者的结合明显缩短匹配时间,提高匹配的精确度和鲁棒性。仿真结果验证该方法高效稳定。
Image matching algorithm which based on directed Hausdorff distance and immune genetic algorithm consists of defining code and adaptive degree function, confirming intercross variation operator and immune operation. Directed HD distance is taken as the similarity measuring of template matching and effectively it can reduce the matching calculation amount; the immune genetic algorithm has powerful robust and parallel searching. An approach combining immune genetic algorithm （IGA） with Directed Hausdorff distance is presented to speed up image matching, and the precision and robust of matching. Experimental results show that the new algorithm has good performance and a much more accurate robust.
出处
《兵工自动化》
2008年第2期79-81,共3页
Ordnance Industry Automation
基金
国家自然科学基金项目(60772151)
