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Development of Portable X-ray CT System II - CT Image Reconstruction of Wood using Density Distribution -  

Kim, Kwang-Mo (Timber Engineering Lab., Mahjor in Environmental Materials Science, Department of Forest Science. Seoul National University)
Lee, Sang-Joon (Timber Engineering Lab., Mahjor in Environmental Materials Science, Department of Forest Science. Seoul National University)
Lee, Jun-Jae (Timber Engineering Lab., Mahjor in Environmental Materials Science, Department of Forest Science. Seoul National University)
Publication Information
Journal of the Korean Wood Science and Technology / v.34, no.1, 2006 , pp. 23-31 More about this Journal
Abstract
X-ray transit materials with straight path and the its intensity is proportional to the density of materials. Therefore, X-ray has been extensively used as a nondestructive evaluation (NDE) method in various fields. This study was carried out for development of a portable X-ray CT (computed-tomography) system to detect deteriorations of wood members in buildings. Based on the results of our previous study, a procedure of CT image reconstruction was established In order to verify the applicability of developed system, CT images of three wood disks were reconstructed by newly developed procedure and compared with the prototypes. From the results of this study, it was shown that the newly developed system could be used not only to determine the shape, size, and position of defects, but also to find the density distribution in cross section of wood structure members. The density distribution may be utilized to clarify the reason of wood deterioration and to provide the preventive method on how to treat or repair wood buildings. Because it was initial stage of system development, there were some limitations concerned with measuring equipment and image reconstruction algorithm. Especially, measuring time including equipment setup time was longer and measuring accuracy was lower than we expected. Therefore, we planned some additional studies on improvement of equipment and algorithm to enhance the capability of X-ray CT system.
Keywords
X-ray CT system; soft X-ray; wood deterioration; non-destructive evaluation; density distribution; Filtered back-projection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Bhandarkar, S. M., T. D. Faust, and M. Tang. 2002. Design and prototype development of a computer vision-based lumber production planning system. Image and Vision Computing. 20: 167-189   DOI   ScienceOn
2 Funt, B. B. and E. C. Bryant. 1987. Detection of internal log defects by automatic interpretation of computer tomography imges, Forest Prod. J. 37(1): 56-62
3 McMillin, C. W. 1982. Application of Automatic Image Analysis to Wood Science. Wood Sci. 14(3): 97-105
4 Schmoldt, D. L., L. G. Occena, A. L. Abbott, and N. K. Gupta. 1999. Nondestructive evaluation of hardwood logs: CT scanning, machine vision and data utilization. Nondestr. Test. Eval. 15: 279-309   DOI
5 Wagner, F. G., F. W. Taylor, D. S. Ladd, C. W. McMillin, and F. L. Roder. 1989. Ultrafast CT scanning of and oak log for internal defects. Forest Prod. J. 39(11/12): 62-64
6 Kim, K. M. and J. J. Lee. 2005b. CT image reconstruction of wood using ultrasound velocities II - Determination of the initial model function of the SIRT method. J. of the Korean Wood Science and Technology. 33(5): 29-37
7 Bucur, V. 2003. Nondestructive Characterization and Imaging of Wood. Springer, Germany. pp. 13-74
8 Jain, A. K. 2003. Fundamentals of Digital Image Processing. Prentice Hall. Korea. pp. 431-475
9 김광모, 이상준, 이전제. 2006. 현장 적용이 가능한 X선 CT시스템 개발 I - X선 촬영법을 이용한 목재의 밀도 측정. 목재공학 34(1): 15-22
10 Schmoldt, D. L., D. Zhu, and R. W. Conners. 1993. Nondestructive evaluation of hardwood log using automated interpretation of CT images Review of Progress in Quantitative Nondestructive Evaluation, Vol. 12. Plenum Press, New York
11 Taylor, F. W., F. G. Wagner, Jr., C. W. McMillin, I. L. Morgan, and F. F. Hopkins. 1984. Location knots by industrial tomography- A feasibility study, Forest Prod. J. 34(5): 42-46
12 Kim, K. M. and J. J. Lee. 2005a. CT image reconstruction of wood using ultrasound velocities I - Effects of reconstruction algorithms and wood characteristics. J. of the Korean Wood Science and Technology. 33(5): 21-28
13 Lo, T. and P. L. Inderwiesen. 1994. Fundamentals of Seismic Tomography. Society of Exploration Geophysicists. USA. pp. 9-43
14 구양모, 신남수. 2000. X-선 과학과 응용. 도서출판 아진. 490p