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http://dx.doi.org/10.9717/kmms.2013.16.12.1376

Automatic Detection of Foreign Body through Template Matching in Industrial CT Volume Data  

Ji, Hye-Rim (서울여자대학교 멀티미디어학과)
Hong, Helen (서울여자대학교 멀티미디어학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.12, 2013 , pp. 1376-1384 More about this Journal
Abstract
In this paper, we propose an automaticdetection method of foreign bodies through template matching in industrial CT volume data. Our method is composed of three main steps. First,Indown-sampling data, the product region is separated from background after noise reduction and initial foreign-body candidates are extracted using mean and standard deviation of the product region. Then foreign-body candidates are extracted using K-means clustering. Second, the foreign body with different intensity of product region is detected using template matching. At this time, the template matching is performed by evaluating SSD orjoint entropy according to the size of detected foreign-body candidates. Third, to improve thedetection rate of foreign body in original volume data, final foreign bodiesare detected using percolation method. For the performance evaluation of our method, industrial CT volume data and simulation data are used. Then visual inspection and accuracy assessment are performed and processing time is measured. For accuracy assessment, density-based detection method is used as comparative method and Dice's coefficient is measured.
Keywords
Industrial CT Image; Nondestructive Testing; Inspection of Foreign body; Automatic defect detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 P. Perona and J. Malik, "Scale-Space and Edge Detection Using Anisotropic Diffusion," Pattern Analysis and Machine Intelligence, Vol. 2, No. 7, pp. 629-639, 1990.
2 J.A Hartigan and M.A Wong "A K-means Clustering Algorithm," Royal Statistical Society, Vol. 28, No. 1, pp. 100-108, 1979.
3 박병준, 한광수, 이호준 "색상 검사와 템플렛매칭을 이용한 졍선 박스 자동 시각 검사 시스템," 멀티미디어학회논문지, 제13권, 제3호, pp. 392- 399, 2010.
4 M. Okutomi and T. Kanade, "A Multiplebaseline Stereo," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 15, No. 4, pp. 353-363, 1993.   DOI   ScienceOn
5 C. Shannon and W.W Elwood, "A Mathmatical Theory of Communication," Bell System Techincal Journal, Vol. 5, Issue 1, pp. 379-423, 1948.
6 T. Yamaguchi and S. Hashimoto, "Fast Crack Detection Method for Large-size Concrete Surface Images using Percolation-based Image Processing," Machine Vision and Application, Vol. 21, Issue 5, pp. 797-809, 2010.   DOI
7 The Korean society for Nondestructive testing, Dictionary of Nondestruction Testing, Sejinbook, Seoul, pp. 128, 2004.
8 A. Ishii, T. Mizuta, and S. Todo, "Detection of Foreign Substances Mixed in a Plastic Bottle of Medicinal Solution Using Real-Time Video Image Processing," Proc. Fourteenth International Conference on Pattern Recognition, Vol. 2, pp. 1646-1650, 1998
9 B.R. Suresh, R.A. Fundakowski, T.S. Levitt, and J.E. Overland, "A Real-time Automated Visual Inspection System for Hot Steel Slabs," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-5, Issue 6, pp. 563-572, 1983.   DOI   ScienceOn
10 F.S. Hiller, "Continuous Sampling Plans Under Destructive Testing," Journal of the American Statistical Association, Vol. 59, No. 306, pp. 376-401, 1964.   DOI   ScienceOn
11 W. Yanga, D. Li, L. Zhub, Y. Kang, and F. Li, "A New Approach for Image Processing in Foreign Fiber Detection," Computer and Electronics in Agriculture, Vol. 68, Issue 1, pp. 68-77, 2009.   DOI   ScienceOn
12 G. Ginesu, D. Giusto, V. Märgner, and P. Meinlschmidt, "Detection of Foreign Bodies in Food by Thermal Image Processing," IEEE Transactions on Industrial Electronics, Vol. 51, No. 2, pp. 480-490, 2004.   DOI   ScienceOn
13 R.P Haff and N. Toyofuku, "X-ray Detection of Defects and Contaminants in the Food Industry," Sensing and Instrumentation for Food Quality and Safety, Vol. 2, Issue 4, pp. 262-273, 2008.   DOI
14 D. Schlager, A.B Sanders, and W. Boren, "Ultrasound for the Detection of Foreign Bodies," Annals of Emergency Medicine, Vol. 20, Issue 2, pp. 189-191, 1991.
15 J.S Kwon, J.M Lee, and W.Y Kim, "Real-time Detection of Foreign Objects using X-ray Imageing for Dry Food Manufacturing Line," IEEE International Symposium on Consumer Electronics, pp. 1-4, 2008.
16 김철문, 이종민, 김회율 "인접 픽셀의 밝기 변화를 이물질 검출 방법." 영상처리 및 이해에 관한 워크샵, pp 149-153, 2008.