[1] Li L J, Xu S L, Qin J. Research on hardware surface defects detection based on image processing techniques[J]. Journal of Engineering Design, 18, 134-138(2011).

[2] Wang Y N, Liu C T, Li H et al. Research on stamping workpiece enhancement algorithm based on digital image processing[J]. Laser Journal, 35, 80-83(2014).

[3] Tsai D M, Lin P C, Lu C J. An independent component analysis-based filter design for defect detection in low-contrast surface images[J]. Pattern Recognition, 39, 1679-1694(2006).

[4] Han F F. Key techniques for surface defects online detection based on machine vision[D]. Tianjin: Tianjin University(2011).

[5] Sun X C, Jiang X N, Fu Y et al. Surface defect detection system for camshaft based on computer vision[J]. Infrared and Laser Engineering, 42, 1647-1653(2013).

[6] Zhang J K. Design and implementation of a novel template matching algorithm invariant to rotation[D]. Harbin: Harbin Institute of Technology(2013).

[7] Gonzalez R C, Richard E[M]. Digital image processing, 515-523(2013).

[8] He Z Y, Sun L N, Chen L G. Fast calculation of threshold based on Otsu criterion[J]. Acta Electronica Sinica, 41, 267-272(2013).

[9] Guo M, Hu L L, Zhao J T. Surface defect detection method of ceramic bowl based on Kirsch and Canny operator[J]. Acta Optica Sinica, 36, 0904001(2016).