[1]Luo R C, Kay M G. A Tutorial on Multisensor Integration and Fusion[C]∥Proc of IEEE Int’l Conf on Industrial Electronics,1990:707722.
[2]Abidi M A, Gonzalez R C. Data Fusion in Robotics and Machine Intelligence[M].CA:Academic Press Professor,Inc.San Diego,1992:546.
表1融合图像各项指标的对比
〖〗交叉熵〖〗空间频率〖〗熵〖〗均方根误差〖〗峰值信噪比〖〗均值〖〗标准差图1〖〗第一种方案bior3.7〖〗0.115 4〖〗9.634 2〖〗7.083 5〖〗55.012 2〖〗20.065 0〖〗122.672 8〖〗46.577 6第二种方案bior3.7〖〗0.096 6〖〗12.760 2〖〗7.093 3〖〗29.877 5〖〗25.367 3〖〗122.677 5〖〗47.175 3第一种方案db2〖〗0.110 5〖〗9.574 5〖〗7.064 6〖〗57.769 7〖〗19.640 2〖〗122.745 6〖〗46.097 7第二种方案db2〖〗0.089 4〖〗12.486 6〖〗7.081 3〖〗33.347 5〖〗24.413 0〖〗122.752 5〖〗46.759 3图2〖〗第一种方案bior3.7〖〗0.027 9〖〗10.519 1〖〗7.091 3〖〗73.496 4〖〗16.860 1〖〗97.467 8〖〗44.344 1第二种方案bior3.7〖〗0.028 6〖〗13.985 7〖〗7.110 2〖〗29.685 4〖〗24.765 8〖〗97.266 8〖〗44.843 7第一种方案db2〖〗0.031 5〖〗10.620 3〖〗7.094 2〖〗73.618 3〖〗16.845 7〖〗97.419 0〖〗44.075 8第二种方案db2〖〗0.025 8〖〗13.804 3〖〗7.103 1〖〗29.845 2〖〗24.687 9〖〗97.138 4〖〗44.582 3[3]晁锐,张科,李言俊.一种基于小波变换的图像融合算法[J].电子学报,2004,32(5):750753.
[4]王红梅,李言俊,张科.一种新的多传感器图像融合方法[J].西北工业大学学报,2005,23(6):793797.
[5]Li Shutao,Bin Yang.Multifocus Image Fusion by Combining Curvelet and Wavelet Transform[J]. Pattern Recognition Letters,2008,29(9):12591301.
[6]Burt P J, Kolczynaki R J. Enchanced Image Capture Through Fusion[C]∥Proc of the 4th International Conference on Computer Vision, 1993:173182.
[7]Brown L G.A Survey of Image Registration Techniques[J].ACM Computing Surveys, 1992,24(4):325376.
[8]刘贵喜,杨万海.基于小波分解的图像融合方法及性能评价[J].自动化学报,2002,28(6):927934.
[9]Li Shutao,Kwok J T,Wang Yaonan.Multifocus Image Fusion Using Artficia Neural Networksl[J].Pattern Recognition Letters,2002,23(8):985997.
[10]刘振慧,高晶敏,崔天横.一种基于小波变换的图像融合新算法[J].计算机工程与应用,2007,43(12):7476. |