Defect detection in aluminum foil by measurement-residual-based chi-square detector

Quality inspection of aluminum foil products plays an important role for aluminum foil manufactures. This paper presents a method that uses measurement-residual-based (MR) chi-square detector for defect detection in aluminum foil. It is assumed that the intensity of the aluminum foil image is Gaussian distributed, and the distribution of the defect intensity is different from normal. Under these assumptions, Kalman filters with a constant velocity (CV) model are used to filter the image, and then the measurement residual from Kalman filters is obtained to detect defect by the measurement-residual-based chi-square detector. Experiments show that our technique is effective for most defects in aluminum foil.

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