To improve accuracy and speed of quality control detection on surface defects of industrial products

a novel fast detection approach was proposed based on machine visualization. With introduction of variation coefficient

a difference image was obtained by image differencing analysis of the test image and the model image. Threshold was determined by variation coefficient of the difference image and then defects were located by image dicing. Experimental results on wallpaper surface defect detection show that the proposed method improved accuracy and robustness of image detection and reduced false detection rate greatly.