Research on Medical Image Fusion Based on Orthogonal Wavelet Packets Transformation Combined with 2v-SVM

摘要：

This paper presents a novel medical image fusion algorithm which imports 2v-SVM －an adaptive SVM learning algorithm to medical image fusion. We combine it with orthogonal wavelet packets to gen erate a new image fusion rule, which intelligently constructs the good and bad features-classifier for improving image fusion. Then we construct a new sort of linear weighted fusion arithmetic operator, which retains the remarkable features and eliminates the redundant information of the two images .We respectively fuse two pairs of images: CT 、MRI images and MRI 、PET images effectively and obtain good visual effects and quality of fused image. The experiments prove that the proposed algorithm resolve the deficiencies of existing algorithms in characteristics representation and acceptance or rejection of information and provide an advanced method to medical image fusion.

作者: Wang Anna Wu Jie Li Dan Chen Yu

作者单位: School of Information Science and Engineering , Northeastern University, Shenyang 110004,China

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 674-679

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）