The Improved Algorithm of Image Fusion Based Segmentation Region

摘要：

In the pixel level image fusion methods, anglicizing the wavelet transform, this paper proposes an segmentation region based image fusion method. First, the source images are decomposed by wavelet to get the approximate and detailed subimages, 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. Then, measure the match degree and activity level of the wavelet coefficients of source images are implemented in these region segmentation, and the maximum value rule and the weighted average norm are used to combine the coefficients of detailed subimages and approximate sub-image respectively. At last, the combination coefficients are transformed by wavelet inversely to obtain the fused image. The experimental results show that the fusion effect is superior to the multiscale image data fusion method.

关键词： Image fusion image segmentation wavelet transform watershed algorithm.

作者: TAN Le-ting Wang juan

作者单位: Department of Computer Science and Technology ,China West Normal University, Nanchong, 637000 , China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 489-492

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）