基于小波变换和混合优化算法的图像配准  

Image Registration Based on Wavelet Transform and Hybrid Optimization Algorithm

作　　者：张倩[1] 杨静[1] 贾丁丁[2] 

机构地区：[1]山东大学计算机科学与技术学院,济南250061 [2]山东大学软件学院,济南250101

出　　处：《计算机工程》2008年第7期189-190,193,共3页Computer Engineering

摘　　要：利用小波变换对图像进行多分辨率分解,用粒子群优化和单纯形结合的混合优化算法对最低分辨率图像进行配准,并仅用单纯形法对较高分辨率图像进行配准。粒子群优化算法全局搜索能力强,单纯形法能有效地进行局部搜索,将两种算法相结合,提高了图像配准的精度。利用小波变换性质逐步缩小搜索范围,提高了配准速度。Wavelet transform is introduced into registration due to its multi-resolution property. When the low-resolution images are registered, a hybrid algorithm of Particle Swarm Optimization（PSO） and simplex is used. While registering higher-resolution images, it only uses simplex. PSO excels in global searching while simplex excels in local searching. When used together, a more accurate result can be got. Meanwhile, a smaller searching space can be reached using wavelet transform which speeds up registration.

关 键 词：图像配准 小波变换 粒子群优化 单纯形 混合优化算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]