Medical Image Fusion Based on Wavelet Packet Transform and Self-adaptive Operator
Combining wavelet packet transform with selfadaptive operator together, a medical image fusion algorithm is put forward. In this algorithm, the medical imagines that have been matched are firstly decomposed using wavelet packet transform, and the wavelet coefficients as well as the sub-images decomposed are processed with self-adaptive operators. Then the fusion imagines are gained by the wavelet packet reconstruction for the decomposed imagines. The simulation results show that this algorithm is feasible and effective for the clinical applications of medical fusion imagines.
medical image fusion wavelet packet transform selfadaptive operator
YANG Licai LIU Xin Yao Yucui
School of Control Science and Engineering Shandong University Jinan, Shandong, P.R. China State Intellectual Property Office of the Peoples Republic of China Haidian, Beijing, P.R. China
国际会议
上海
英文
2669-2672
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）