Defect Detection of Steel Surfaces with Global Adaptive Percentile Thresholding of Gradient Image
Tóm tắt
Từ khóa
Tài liệu tham khảo
H. Jia, Y.L. Murphey, J. Shi, T. Chang, in An Intelligent Real-time Vision System for Surface Defect Detection, IEEE-Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004), pp. 2–5
S. Ghorai, A. Mukherjee, M. Gangadaran, P.K. Dutta, Automatic defect detection on hot-rolled flat steel products. IEEE Trans. Instrum. Meas. 62(3), 612–621 (2013)
O.D. Trier, A.K. Jain, Goal-directed evaluation of binarization methods. IEEE Trans. Pattern Anal. Mach. Intell. 17(12), 1191–1201 (1995)
P.K. Sahoo, S. Soltani, A.K.C. Wong, Y.C. Chen, A survey of thresholding techniques. Comput. Vis. Graph. Image Process. 41, 233–260 (1988)
B. Suvdaa, J. Ahn, J. Ko, Surface defects detection and classification using sift and voting strategy. Int. J. Softw. Eng. Its Appl. 6(2), 168–170 (2012)
K. Agarwal, R. Shivpuri, Y. Zhu, T. Chang, H. Huang, Process knowledge based multi-class support vector classification (PK-MSVM) approach for surface defects in hot rolling. ELSEVIER, Expert Syst. Appl. 38, 7251–7262 (2011)
A. Cord, F. Bach, D. Jeulin, Texture classification by statistical learning from morphological image processing : application to metallic surfaces. J. Microsc. 239(2), 159–166 (2010)
G. Wu, Online surface inspection technology of cold rolled strips. http://cdn.intechweb.org/pdfs/906.pdf . Accessed July 2012
J.M. Blackledge, D.A. Dubovitskiy, A surface inspection machine vision system that includes fractal texture analysis, International Society for Advanced Science and Technology. J. Intell. Syst. l3(2), 76–89 (2008)
D. Djukic, S. Spuzic, in Statistical discriminator of surface defects on hot rolled steel, Proceedings of Image and Vision Computing, New Zealand, December 2007, pp. 158–163
F. Dupont, C. Odet, M. Carton, Optimization of the recognition of defects in flat steel products with the cost matrices theory. NDT&E Int. 30(1), 3–10 (1997)
C.P. Steuer, in Classification of surface defects on hot rolled steel using adaptive learning methods, KES’2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000, Proceedings, vol. 1, pp. 103–108
B.R. Suresh, R.A. Fundakowski, T.S. Levitt, J.E. Overland, A real-time automated visual inspection system for hot steel slabs. IEEE Trans. Pattern Anal. Mach. Intell. 5(6), 563–572 (1983)
T. Bo, K. Jian-yi, W. Xing-dong, C. Li, B. Tang, J. Kong, X. Wang, L. Chen, in Surface Inspection System of Steel Strip Based on Machine Vision, IEEE First International Workshop on Database Technology and Applications, April 2009, pp. 359–362
S.H. Choi, J.P. Yun, B. Seo, Y.S. Park, S.W.W. Kim, Real-time defects detection algorithm for high speed steel bar in coil. World Acad. Sci. Eng. Technol. 25, 66–70 (2007)
T.S. Chang, D. Gutchess, H.H. Huang, The advancement in surface quality assurance for hot rolled steel bars, DOE Sensors & Automation, 2005, Annual Portfolio Review, pp. 1–19, 2005
Y. Liu, Y. Hsu, Y. Sun, S. Tsai, C. Ho, C. Chen, in A Computer Vision System for Automatic Steel Surface Inspection, The Fifth IEEE Conference on Industrial Electronics and Applications (ICIEA), 2010, pp. 1667–1670
R.C. Gonzalez, R.E. Woods, in Digital Image Processing, 3rd edn. (Pearson, Prentice Hall, 2008)