[1] ZHANG Y L, ZHANG H Ch, ZHAO J X, et al. Review of non-destructive testing for remanufacturing of high end equipment[J]. Journal of Mechanical Engineering, 2013, 53(7):80-90(in Chinese).
[2] KOSCHNY M, LINDNER M. Magneto-optical sensors accurately analyze magnetic field distribution of magnetic materials[J]. Advanced Materials & Processes, 2012, 170(2):13-16.
[3] GAO X D, CHEN Y Q, YOU D Y, et al. Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network[J]. Mechanical Systems & Signal Processing, 2017, 84:570-583.
[4] GAO X D, WU J J. Approach of detecting and tracking micro weld joint based on magneto optical imaging[J]. Journal of Mechanical Engineering, 2015, 51(4):71-77(in Chinese). doi: 10.3901/JME.2015.04.071
[5] HU X Ch, LUO F L, HE B Z, et al. Pulsed alternating current field measurement technique for defect identification and quantification[J]. Journal of Mechanical Engineering, 2011, 47(4):17-22(in Chinese). doi: 10.3901/JME.2011.04.017
[6] GAO X D, LAN Ch Zh, YOU D Y, et al. Weldment nondestructive testing using magneto-optical imaging induced by alternating magnetic field[J]. Journal of Nondestructive Evaluation, 2017, 36(3):55. doi: 10.1007/s10921-017-0434-4
[7] DENG Y, LIU X, UDPA L. Magneto-optic imaging for aircraft skins inspection:a probability of detection study of simulated and experimental image data[J]. IEEE Transactions on Reliability, 2011, 61(4):1-8.
[8] RICHERT H, SCHMIDT H, LINDNER S, et al. Dynamic magneto-optical imaging of domains in grain oriented electrical steel[J]. Steel Research, 2016, 87(2):232-240. doi: 10.1002/srin.v87.2
[9] GAO X D, LI G H, XIAO Zh L, et al. Detection and classification of welded defects by magneto-optical imaging based on multi-scale wavelet[J]. Optics and Precision Engineering, 2016, 24(4):930-936(in Chinese). doi: 10.3788/OPE.
[10] CHEN Y H, ZHOU Z F, YIN B B. Study on magneto optical/eddy current imaging system for real time testing[J]. Optics and Precision Engineering, 2006, 14(5):797-801(in Chinese).
[11] LE M, LEE J, SHOJI T. A simulation of magneto-optical eddy current imaging[J]. NDT & E International, 2011, 44(8):783-788.
[12] GAO X D, HUANG G X, XIAO Zh L, et al. Micro weld detection based on magneto-optical imaging and wavelet multi-scale fusion[J]. Transactions of the China Welding Institution, 2016, 37(4):1-4(in Chinese).
[13] HAGHIGHAT M B A, AGHAGOLZADEH A, SEYEDARABI H. Multi-focus image fusion for visual sensor networks in DCT domain[J]. Computers & Electrical Engineering, 2011, 37(5):789-797.
[14] PRAKASH O, KUMAR A, KHARE A. Pixel-level image fusion scheme based on steerable pyramid wavelet transform using absolute maximum selection fusion rule[C]//International Conference on Issues and Challenges in Intelligent Computing Techniques. New York, USA: IEEE, 2014: 765-770.
[15] ZHENG W, SUN X Q, LI Zh. Image fusion based on Shearlet transform and region characteristics[J]. Laser Technology, 2015, 39(1):50-56(in Chinese).
[16] LI H H, GUO L, LIU H. Research on image fusion based on the second generation curvelet transform[J]. Acta Photonica Sinica, 2006, 26(5):657-662(in Chinese).
[17] GAO Y, WANG A M, WANG F H, et al. Application of improved wavelet transform algorithm in image fusion[J]. Laser Technology, 2013, 37(5):690-695(in Chinese).
[18] ZHU P, LIU Z Y, HUANG Zh H. Infrared polarization and intensity image fusion based on dual-tree complex wavelet transform and sparse representation[J/OL].(2017-05-08)[2017-11-07].http://kns.cnki.net/kcms/detail/61.1235.O4.20170508.1426.116.html (in Chinese).