A novel ensemble scheme for the multi-focus image fusion using support vector machine

References

• M.K. Bhowmik, B.K. De, D. Bhattacharjee, M. Nasipuri, D.K. Basu, and M. Kundu, Multisensor fusion of visual and thermal images for human face identification using different SVM kernels, IEEE Long Island Systems, Applications and Technology Conference, Farmingdale, NY, 2012.
   Google Scholar
• G. Brown, J. Wyatt, R. Harris, and X. Yao, Diversity creation methods: A survey and categorization, J. Inform. Fusion 6(1) (2005), pp. 5–20. doi: 10.1016/j.inffus.2004.04.004
   Google Scholar
• J. Canny, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell. 8 (1986), pp. 679–698. doi: 10.1109/TPAMI.1986.4767851
   PubMed Web of Science ®Google Scholar
• S.H. Chen, B. Su, and H. Zhang, Feature space and metric measures for fusing multisensor images, Int. J. Remote Sens. 29(11) (2008), pp. 3257–3270. doi: 10.1080/01431160701644253
   Web of Science ®Google Scholar
• C. Heng, L. Jie, and Z. Weile, A novel support vector machine-based multifocus image fusion algorithm. International Conference on Communications, Circuits and Systems Proceedings, Guilin, China, 2006.
   Google Scholar
• S.L. Hsu, P.W. Gau, I.L. Wu, and J.H. Jeng, Region-based image fusion with artificial neural network, Int. J. Inform. Math. Sci. 5(3) (2009), pp. 156–159.
   Google Scholar
• H. Jiwu, Y.Q. Shi, and D. Xianhua, A segmentation-based image coding algorithm using the features of human vision system, J. Image Graph. 4(5) (1999), pp. 400–404.
   Google Scholar
• S. Klonus and M. Ehlers, Performance of evaluation methods in image fusion. 12th International Conference on Information Fusion, Seattle, WA, 2009.
   Google Scholar
• S. Li, J.T. Kwok, and Y. Wang, Multifocus image fusion using artificial neural networks, Pattern Recognit. Lett. 23 (2002), pp. 985–997. doi: 10.1016/S0167-8655(02)00029-6
   Web of Science ®Google Scholar
• S. Li, J.T. Kwok, I.W. Tsang, and Y. Wang, Fusing images with different focuses using support vector machines. IEEE Trans. Neural Netw. 15(6) (2004), pp. 1555–1561. doi: 10.1109/TNN.2004.837780
   PubMed Web of Science ®Google Scholar
• R. Madhavi and K.A. Babu, An all approach for multi-focus image fusion using neural network, Int. J. Comput. Sci. Telecommun. 2(8) (2011), pp. 23–26.
   Google Scholar
• A. Majid and T.-S. Choi, A new ensemble scheme for predicting human proteins subcellular locations, Int. J. Signal Process. Image Process. Pattern Recognit. 3(1) (2010), pp. 185–192.
   Google Scholar
• A. Majid, A. Khan, and A.M. Mirza, Combination of support vector machines using genetic programming, Int. J. Hybrid Intell. Syst. 3(2) (2006), pp. 109–125.
   Google Scholar
• S.G. Mamatha, S.A. Rahim, and C.P. Raj, Feature-level multi-focus image fusion using neural network and image enhancement, Global J. Comput. Sci. Technol. Graph. Vis. 12(10) (2012), pp. 17–23.
   Google Scholar
• A. Mumtaz, A. Majid, and A. Mumtaz, Genetic algorithm and its application to image fusion. Proceedings of 4th IEEE International Conference on Emerging Technologies (ICET2008), NUST Rawalpindi, Pakistan, 2008.
   Google Scholar
• A. Mumtaz, A. Majid, and T.S. Choi, Image fusion algorithm based on dual tree complex wavelet transform and support vector machine. International Bhurban Conference on Applied Sciences & Technology, Islamabad, Pakistan, 2010.
   Google Scholar
• V.P.S. Naidu and J.R. Raol, Pixel-level image fusion using wavelets and principal component analysis, Defence Sci. J. 58(3) (2008), pp. 338–352.
   Web of Science ®Google Scholar
• N.C. Oza and K. Tumer, Classifier ensembles: Select real-world applications, Inform. Fusion 9(1) (2008), pp. 4–20. doi: 10.1016/j.inffus.2007.07.002
   Web of Science ®Google Scholar
• A.B. Siddiqui, M. Rashid, M.A. Jaffar, A. Hussain, and A.M. Mirza, Feature classification for multi-focus image fusion, Int. J. Phys. Sci. 6 (2011), pp. 4838–4847.
   Google Scholar
• V.N. Vapnik, Statistical Learning Theory, John Wiley & Sons Inc., New York, 1998.
   Google Scholar
• P.K. Varshney, Multisensor data fusion, Electron. Commun. Eng. J. 12 (1997), pp. 245–253. doi: 10.1049/ecej:19970602
   Web of Science ®Google Scholar
• D.A. Yocky, Image merging and data fusion by means of the discrete two-dimensional wavelet transform, J. Opt. Soc. Am. 12(9) (1995), pp. 1834–1841. doi: 10.1364/JOSAA.12.001834
   Web of Science ®Google Scholar
• Q. Zhang and B.-L. Guo, Multifocus image fusion using the nonsubsampled contourlet transform, Signal Process. 89(7) (2009), pp. 1334–1346. doi: 10.1016/j.sigpro.2009.01.012
   Web of Science ®Google Scholar
• S.H. Zhoa, X.Z. Feng, K.D. Kang, and R. Elnazir, Multi-source remote sensing image fusion based on support vector machine, Chin. Geogr. Sci. 12 (2002), pp. 244–248. doi: 10.1007/s11769-002-0009-9
   Web of Science ®Google Scholar