An segmentation region based on image fusion method is proposed in this paper. First, the source images are decomposed by wavelet to get theapproximate and detailed sub-images, and the segmentation by watershed method for these sub-images are used to get the regions of each level, theseregions are used to guide fusion process. The activity level and match degree measure of the wavelet coefficients of source images are implemented inthese regions, and the maximum value rule and the weighted average norm are used to combine the coefficients of detailed sub-images and approximatesub-image respectively. At last, the combination coefficients are transformed by wavelet inversely to obtain the fused image. The experimental resultsshow that the fusion effect is superior to another method.%提出了一种基于区域分割的图像融合方法.首先,通过对原图像进行小波分解得到其近似子图和细节子图,对细节子图运用分水岭分割法获得每一层的分割子图用于引导融合过程.然后在分割区域中对原图像小波系数的活动水平及匹配度进行度量,并在组合细节子图系数和近似子图系数的过程中分别采用最大值法则和加权平均法则.最后,通过逆小波变换得到最终的融合图像.实验结果表明,融合效果优于对比方法.
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