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Principal Component Analysis Based Image Fusion Routine With Application To Stamping Split Detection, Yi Zhou
Principal Component Analysis Based Image Fusion Routine With Application To Stamping Split Detection, Yi Zhou
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This dissertation presents a novel thermal and visible image fusion system with application in online automotive stamping split detection. The thermal vision system scans temperature maps of high reflective steel panels to locate abnormal temperature readings indicative of high local wrinkling pressure that causes metal splitting. The visible vision system offsets the blurring effect of thermal vision system caused by heat diffusion across the surface through conduction and heat losses to the surroundings through convection. The fusion of thermal and visible images combines two separate physical channels and provides more informative result image than the original ones.
Principal Component Analysis …