Principal Component Analysis-Based Image Fusion Routine with Application to Automotive Stamping Split Detection
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Yi Zhou | Mohammed Omar | Ahmad Mayyas | A. Mayyas | Yi Zhou | M. Omar
[1] W. M. Cummings,et al. Thermoelastic stress analysis , 1991 .
[2] G A H Al-Kindi,et al. An application of machine vision in the automated inspection of engineering surfaces , 1992 .
[3] B. S. Manjunath,et al. Multisensor Image Fusion Using the Wavelet Transform , 1995, CVGIP Graph. Model. Image Process..
[4] Borut Zalik,et al. Surface interrogation methods , 1995, Comput. Graph..
[5] Rick S. Blum. Distributed reception of fading signals in noise , 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.
[6] Jürgen Beyerer,et al. Model-based analysis of groove textures with applications to automated inspection of machined surfaces , 1995 .
[7] Rick S. Blum,et al. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application , 1999, Proc. IEEE.
[8] H. Hartmann,et al. Cellector: A new software tool for the support of cell projection in combination with variable shape electron beam lithography for mask and direct write applications , 1999 .
[9] Sy-Wei Lo,et al. Monitoring the Displacement of a Blank in a Deep Drawing Process by Using a New Embedded-Type Sensor , 1999 .
[10] André Chrysochoos,et al. An infrared image processing to analyse the calorific effects accompanying strain localisation , 2000 .
[11] M. J. Cardew-Hall,et al. Estimating quality costs in an automotive stamping plant through the use of simulation , 2001 .
[12] Nik Rajic,et al. Principal component thermography for flaw contrast enhancement and flaw depth characterisation in composite structures , 2002 .
[13] Hong Zheng,et al. Automatic inspection of metallic surface defects using genetic algorithms , 2002 .
[14] E. Doege,et al. Contactless on-line measurement of material flow for closed loop control of deep drawing , 2002 .
[15] Gang Hong,et al. High resolution image fusion based on wavelet and IHS transformations , 2003 .
[16] G. Rossi,et al. Measurements of stress pattern on roll bearing supports by thermoelasticity , 2003 .
[17] E. Doege,et al. Development of an Optical Sensor for the Measurement of the Material Flow in Deep Drawing Processes , 2003 .
[18] Karl D. Majeske,et al. Identifying Sources of Variation in Sheet Metal Stamping , 2003 .
[19] Gonzalo Pajares,et al. A wavelet-based image fusion tutorial , 2004, Pattern Recognit..
[20] Ioannis Pavlidis,et al. Infrared and visible image fusion for face recognition , 2004, SPIE Defense + Commercial Sensing.
[21] Anil K. Jain,et al. Biometric technology for human identification , 2004 .
[22] Sy-Wei Lo,et al. Closed-loop control of the blank holding force in sheet metal forming with a new embedded-type displacement sensor , 2004 .
[23] Ermanno G. Grinzato,et al. Statistical analysis of IR thermographic sequences by PCA , 2004 .
[24] Paulo A.F. Martins,et al. Stamping of automotive components: a numerical and experimental investigation , 2004 .
[25] André Chrysochoos,et al. Calorimetric analysis of dissipative and thermoelastic effects associated with the fatigue behavior of steels , 2004 .
[26] Kozo Saito,et al. IR self-referencing thermography for detection of in-depth defects , 2005 .
[27] Rick S. Blum,et al. Multi-sensor image fusion and its applications , 2005 .
[28] Yi Shen,et al. Comparisons of Several Pixel-Level Image Fusion Schemes for Infrared and Visible Light Images , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.
[29] Jinwen Tian,et al. Multi-sensor image data fusion based on pixel-level weights of wavelet and the PCA transform , 2005, IEEE International Conference Mechatronics and Automation, 2005.
[30] Cedric Nishan Canagarajah,et al. Image fusion using a new framework for complex wavelet transforms , 2005, IEEE International Conference on Image Processing 2005.
[31] Kozo Saito,et al. IR Thermography for the Nondestructive Evaluation of the Protective Coating Coverage on Steel Substrates , 2005 .
[32] Kozo Saito,et al. Infrared seed inspection system (IRSIS) on painted car shells , 2006 .
[33] Eusebio de la Fuente López,et al. On-line machine vision system for detect split defects in sheet-metal forming processes , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[34] Jorge Ferreira,et al. Control system of a mini hydraulic press for evaluating springback in sheet metal forming , 2006 .
[35] Norman S Kopeika,et al. Range gated active night vision system for automobiles. , 2006, Applied optics.
[36] Jorge Ferreira,et al. Close loop control of a hydraulic press for springback analysis , 2006 .
[37] Joel Lanir,et al. Comparing Multispectral Image Fusion Methods for a Target Detection Task , 2006, 2006 9th International Conference on Information Fusion.
[38] Zheng Qin,et al. Effective Image Fusion Rules Of Multi-scale Image Decomposition , 2007, 2007 5th International Symposium on Image and Signal Processing and Analysis.
[39] Yi Zhou,et al. Automated applications of the infrared imagers in the automotive assembly lines: products and process control , 2007, SPIE Defense + Commercial Sensing.
[40] L. Chan,et al. Grids Reformation for Effective Strain Measurement of Forming Titanium Tailor-Welded Blanks at Elevated Temperatures , 2007 .
[41] Ruxu Du,et al. Diagnosis of Sheet Metal Stamping Processes Based on 3-D Thermal Energy Distribution , 2007, IEEE Trans Autom. Sci. Eng..
[42] Ruxu Du,et al. Diagnosis of Sheet Metal Stamping Processes Based on 3-D Thermal Energy Distribution , 2007, IEEE Transactions on Automation Science and Engineering.
[43] Cedric Nishan Canagarajah,et al. Pixel- and region-based image fusion with complex wavelets , 2007, Inf. Fusion.
[44] Rick S. Blum,et al. Investigation of image fusion algorithms and performance evaluation for night vision , 2007 .
[45] Miao Qiguang,et al. A novel image fusion algorithm using FRIT AND PCA , 2007, 2007 10th International Conference on Information Fusion.
[46] Mohammed A. Omar,et al. Pedestrian tracking routine for passive automotive night vision systems , 2007 .
[47] Robert X. Gao,et al. Process monitoring in stamping operations through tooling integrated sensing , 2008 .
[48] Mohammed A. Omar,et al. Dynamic-template processing for passive thermograms: Applied to automotive stamping split detection , 2008 .
[49] Omar Hatamleh,et al. A comprehensive investigation on the effects of laser and shot peening on fatigue crack growth in friction stir welded AA 2195 joints , 2009 .
[50] Eric Planting. Thermoelastic behavior of a small bearing cage , 2009 .
[51] Yi Zhou,et al. Pixel-Level Fusion for Infrared and Visible Acquisitions , 2009 .
[52] Thomas Ummenhofer,et al. On the use of infrared thermography for the analysis of fatigue damage processes in welded joints , 2009 .
[53] Robert X. Gao,et al. Tooling-integrated sensing systems for stamping process monitoring , 2009 .
[54] Yi Zhou,et al. Feature-level and pixel-level fusion routines when coupled to infrared night-vision tracking scheme , 2010 .
[55] Yi Zhou,et al. A combined approach of self-referencing and Principle Component Thermography for transient, steady, and selective heating scenarios , 2010 .