小波在图像融合的应用

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  • 2022-04-12 08:17
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小波在图像融合中的应用及评价!matlab代码
1246157374_7689.rar
  • Evaluation.m
    536B
  • Readme.txt
    3.3KB
  • entropy_fusion.m
    813B
  • Demo_evaluation.m
    475B
  • mutural_information.m
    973B
  • clockB.tif
    146KB
  • Hab.m
    996B
  • edge_association.m
    1.3KB
  • clockA.tif
    163.8KB
  • clock_NSCT_PCNN_SF.tif
    228.5KB
内容介绍
Please run Demo_evaluation.m This toolbox contains Matlab files that implement the image fusion criteria used in my paper Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008. You can download this code from http://quxiaobo.go.8866.org/project/FusionEvaluation/FusionEvaluation.rar or http://dspace.xmu.edu.cn/dspace/bitstream/2288/16979/1/FusionEvaluation.rar The evaluation criteria are from the two papers: Mutual information Qu Guihong, Zhang Dali, Yan Pingfan. Information measure for performance of image fusion. Electronics Letters, 2002,38(7): 313-15. Qab/f Xydeas, C.S.; Petrovic, V., "Objective image fusion performance measure," Electronics Letters , vol.36, no.4, pp.308-309, 17 Feb 2000 This code is copyright and is supplied free of charge for research purposes only. In return for supplying the code, all I ask is that, if you use the algorithms, you give due reference to this work in any papers that you write. If the applications are good, I would be very interested in collaboration. I accept no liability arising from use of these algorithms. If you use the code, please cite one of the following papers that is related with your topic. QU Xiao-Bo, Xiamen University in P.R.China, Aug. 2008. % --------- % Author: Qu Xiao-Bo <quxiaobo [at] xmu.edu.cn> June 26, 2009 % Postal address: % Rom 509, Scientific Research Building # 2,Haiyun Campus, Xiamen University,Xiamen,Fujian, P. R. China, 361005 % Website: http://quxiaobo.go.8866.org %============================================================= % References: [1]Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008. [2]Xiaobo Qu, Jingwen Yan, Guofu Xie, Ziqian Zhu, Bengang Chen. A novel image fusion algorithm based on bandelet transform. Chinese Optics Letters,5(10):569-572, Oct. 2007 [3]QU Xiao-bo, YAN Jing-wen, YANG Gui-de. Sum-modified-Laplacian-based multifocus image fusion method in sharp frequency localized contourlet transform domain. Optics and Precision Engineering, 17(5): 1203-1212, June 2009.(In Chinese) [4]Xiao-Bo Qu,Jingwen Yan.Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks, The 2nd International Conference on Bioinformatics and Biomedical Engineering-iCBBE2008��Shanghai, China, 16-18 May 2008, pp. 2103-2106 [5]Xiaobo Qu, Jingwen Yan. Multi-focus image fusion algorithm based on regional firing characteristic of Pulse Coupled Neural Networks, Proceedings of The Second International Conference on Bio-Inspired Computing: Theories and Applications-BIC-TA 2007,Zhenzhou, China, 14-17 Sep.2007, pp.62-66. [5]Yan Jingwen, QU Xiaobo. Beyond Wavelets and Its Applications [M].Beijing: National Defense Industry Press, June 2008.(In Chinese) (Check http://quxiaobo.go.8866.org, http://quxiaobo.blog.edu.cn or http://naec.stu.edu.cn for these and other related papers.) %=============================================================
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