Strip surface defect detection algorithm based on background difference

2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010

Volumn 2, Issue , 2010, Pages 23-26

  Yang, Yan Xi ^a   Li, Qi ^a   Chen, Ping ^a   Zhang, Xin Yu ^a  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Background difference; Cold rolled strip Steel; Defect location; Surface defects

Indexed keywords

AMBIENT ILLUMINATION; BACKGROUND DIFFERENCE; BACKGROUND IMAGE; BACKGROUND RECONSTRUCTION; COLD-ROLLED STRIP; CURRENT FRAME; DEFECT DETECTION ALGORITHM; DEFECT LOCATION; DIFFERENCE ALGORITHMS; GAUSSIANS; GLOBAL ILLUMINATION; GRAY SCALE; SIMULATION RESULT; STRIP SURFACE; TEST SITE; THRESHOLDING; VIDEO SEQUENCES;

ALGORITHMS; INSPECTION; STEEL SHEET; STRIP METAL; TIN PLATE;

SURFACE DEFECTS;

EID: 78650351496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACCS.2010.5626901     Document Type: Conference Paper

References (12)

1. Marc Niethammer, Allen Tannenbaum, Sigurd Angenent. Dynamic Active Contours for Visual Tracking [J]. IEEE Trans. on Automatic Control(S0018-9286), 2006, 51(4): 562-579.
2. Magee D. Tracking multiple vehicle using foreground, background and motion models[J]. Image and Vision Computing (S0262-8856), 2004, 22(2): 143-155.
3. Elgammal A, Duraiswami R, Harwood D, et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance [J]. Proc. of the IEEE (S0018-9219), 2002, 90(7) : 1151-1163.
4. Cheng J.Flexible background mixture models for foreground segmentation[J].Image and Vision Computing, 2006, 24:473-482.