关键词: 图像融合, 自适应, 遗传算法, 小波变换

Abstract: This paper puts forward an image fusion algorithm based on adaptive genetic search and the selection of region character.In this method，images involved in fusion are disposed by removing yawp according to the sorting，and then decomposed by wavelet transform.The following step is to search the optimization of the size of region，and the wavelet coefficient is fused according to region character.Finally，the fused image is reconstructed.The results show that this algorithm has good fusion effects and versatility.In the end，this algorithm is quantitatively analyzed by objective estimation standards.

Key words: image fusion, adaptive, genetic algorithm, wavelet transform