Acta Optica Sinica, Volume. 39, Issue 1, 0115002(2019)
Button Defect-Free Image Reconstruction and Defect Detection Algorithm Based on Low-Rank Information
Fig. 1. Block diagram of defect detection algorithm
Fig. 2. Flow chart of image preprocessing and its effect
Fig. 3. Button defect-free image reconstruction and residual image with defects. (a) Original image; (b) defect-free image; (c) residual image
Fig. 4. Pixel value distribution of original and residual images. (a) Original image; (b) residual image
Fig. 5. (a) Residual image; (b) binary image
Fig. 6. Result diagrams of different defection methods. (a1)-(a3) Original images of three samples; (b1)-(b3) results by background substraction method; (c1)-(c3) results by linear regression method; (d1)-(d3) results by proposed method
Fig. 7. ROC curves by proposed method
Fig. 8. Effect of different parameter C on detection effect. (a) Original image; (b) detection effect at C=1; (c) detection effect at C=3; (d) detection effect at C=6
Fig. 9. Recognition rate of algorithm versus illumination
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Xing Tong, Danhua Cao, Yubin Wu, Xingru Jiang. Button Defect-Free Image Reconstruction and Defect Detection Algorithm Based on Low-Rank Information[J]. Acta Optica Sinica, 2019, 39(1): 0115002
Category: Machine Vision
Received: Jun. 26, 2018
Accepted: Aug. 22, 2018
Published Online: May. 10, 2019
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