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Automated Inspection Algorithm for Thick Plate Using Dual Light Switching Lighting Method

Authors: Yong-JuJeon, Doo-chul Choi, Jong Pil Yun, Changhyun Park, Homoon Bae, Sang Woo Kim

Abstract:

This paper presents an automated inspection algorithm for a thick plate. Thick plates typically have various types of surface defects, such as scabs, scratches, and roller marks. These defects have individual characteristics including brightness and shape. Therefore, it is not simple to detect all the defects. In order to solve these problems and to detect defects more effectively, we propose a dual light switching lighting method and a defect detection algorithm based on Gabor filters.

Keywords: Thick plate, Defect, Inspection, Gabor filter, Dual Light Switching.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083617

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References:


[1] YC. Song, DH. Choi and KH. Park, "Wavelet Based Image Enhancement for Defect Detection in Thin Film Transistor Liquid Crystal Display Panel," Jpn.J. Appl. Phys., Vol. 45, pp. 5069-5072, 2006.
[2] A. Kumar and G. K. H. Pang, "Defect detection in textured materials using optimized filters," IEEE Trans. Syst., Man, Cybern., Part B:Cybern., 32(5), 553-570, 2002.
[3] Y. Yang, "Illumination compensation methods for automatic fiber connector inspection," Applied Optics, Vol. 43, Issue 6, pp. 1349-1354, 2004.
[4] X. Li, S.K. Tso, X. P. Guan, Q. Huang, "Improving automatic detection of defects in castings by applying wavelet technique," IEEE Trans. on Industrial Electronics, Vol. 53, No. 6, pp. 1927-1934, 2006.
[5] B. R. Suresh, R. A. Fundakowski, T. S. Levitt andJ. E. Overland, "A Real-Time Automated Visual Inspection System for Hot Steel Slabs," IEEE Trans. Pattern Anal. Machine Intell., Vol. 5, Issue 6, pp.563-572, 1983.
[6] J. P. Yun, S. H. Choi, J. W. Kim, and S. W. Kim, "Automatic detection of cracks in raw steel block using Gabor filter optimized by univariate dynamic encoding algorithm for searches(uDEAS)," NDT&E Int., 42, 389-397, 2009.
[7] D.C. Choi, Y.J.Jeon, J.P. Yon and S.W. Kim, "Pinhole detection in steel slab images using Gabor filter and morphological features", Applied Optics, Vol. 50, Issue 26, pp. 5122-5129, 2011.
[8] C.H. Park, S.H. Choi and S.C. Won, "Vision-based inspection for periodic defects in steel wire rod production", Opt. Eng., 49(1), 017202, 2010.
[9] C. S. Cho, B. M. Chung, and M. J. Park, "Development of real-timevision-based fabric inspection system," IEEE Trans. Indu. Electron., 52(4), 1234-1245, 2005.
[10] Y. Shu and Z. Tan, "Fabric Defects Automatic Detection Using Gabor Filters", Proc. 5th World Congress on Intelligent Control and Automation, Hangzhou, China, 3378-3380, 2004.
[11] A. Bodnarova, M. Bennamoun and S. Latham, "Optimal Gabor filters for textile flaw detection," Pattern Recognition, Vol. 35, Issue 12, pp. 2973-2991, 2002.
[12] Q. Li and J. You, L. Zhang, and P. Bhattacharya, Automated Retinal Vessel Segmentation Using Gabor Filters and Scale Multiplication, Proc. International Conference on Image Processing, Computer Vision, &Pattern Recognition, Las Vegas, USA, 22-28, 2006.