An Image Fusion Approach Based on Segmentation Region

An Image fusion method based on segmentation region is proposed in this paper. First, the source images are decomposed by wavelet to get the approximate and detailed sub-images, and the segmentation by watershed method for these sub-images are used to get the regions of each level, these regions are used to guide fusion process. The activity level and match degree measure of the wavelet coefficients of source images are carried out in these regions, and the maximum value rule and the weighted average rule are respectively used to combine the coefficients of detailed sub-images and approximate sub-image. At last, the combination coefficients are inversely transformed by wavelet to get the final fusion image. The experimental results show that the fusion effect is better.