A quick defect detection algorithm for magnetic resonance images of hardwood logs

Forest Products Journal

Volumn 48, Issue 10, 1998, Pages 68-74

  Coates, Eyler Robert ^a   Chang, Sun Joseph ^b   Liao, T Warren ^b  

^a UNIVERSITY OF SOUTHERN MISSISSIPPI   (United States)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DEFECTS; IMAGE UNDERSTANDING; LOGGING (FORESTRY); MAGNETIC RESONANCE IMAGING; SCANNING; COMPUTER APPLICATIONS; QUALITY ASSURANCE;

GROWTH RINGS; HARDWOOD LOGS; OAK LOG; THRESHOLDING TECHNIQUE; QUICK DEFECT DETECTION;

LUMBER; WOOD PRODUCTS;

EID: 0032180916     PISSN: 00157473     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Birkeland, R. and S. Holoyen. 1987. Industrial methods for internal scanning of log defects: A progress report on an ongoing project in Norway. 2nd Inter. Conference on Scanning Technology in Sawmilling, No. X. Oakland, Calif.
2. Census of Manufactures, U.S.D.C., Bureau of the Census. 1992, 1987, 1982, 1977, 1972. Industry series: Logging camps, sawmills and planing mills. U.S. Government Printing Office, Washington, D.C.
3. Chang, S.J., M. Cohen, and P.C. Wang. 1991. Ultra-fast scanning of hardwood logs with an NMR scanner. 4th Inter. Conference on Scanning Technology in Sawmilling. Oakland, Calif.
4. _, J.R. Olson, and _. 1989. NMR imaging of internal features in wood. Forest Prod. J. 39(6):43-49.
5. _, P.C. Wang, and J.R. Olson. 1987. Nuclear magnetic resonance imaging of hardwood logs. 2nd Inter. Conference on Scanning Technology in Sawmilling. No. IX. Oakland, Calif.
6. Flibotte, S., R.S. Menon, A.L. MacKay, and J.R.T. Hailey. 1990. Proton magnetic resonance of western red cedar. Wood and Fiber Sci. 22(4):362-376.
7. Funt, B.V. and E.C. Bryant. 1985. A computer vision system that analyses CT-scans of sawlogs. In: Proc. of 1985 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, Calif, pp. 175-177.
8. _ and _. 1987. Detection of internal log defects by automatic interpretation of computer tomography images. Forest Prod. J. 37(1):56-62.
9. Gonzalez, R.C. and R.E. Woods. 1992. Digital Image Processing. Addison-Wesley Pub. Co., Reading, Mass.
10. Hailey, J.R.T. and J.S. Swanson. 1987. Imaging wood using magnetic resonance. 2nd Inter. Conference on Scanning Technology in Sawmilling. No. VIII. Oakland, Calif.
11. Hall, L.D. and R. Rajanayagam. 1986. Evaluation of the distribution of water in wood by use of three-proton NMR volume imaging. Wood Sci. and Technology 20: 329-333.
12. Hannah, I., D. Patel, and R. Davies. 1995. The use of variance and entropie thresholding methods for image segmentation. Pattern Recognition 28(8): 1135-1143.
13. Hodges, D.G., W.C. Anderson, and C.W. McMillin. 1990. The economic potential of CT scanners for hardwood sawmills. Forest Prod. J. 40(3):65-69.
14. Lee, S.U., S.Y. Chung, and R.H. Park. 1990. A comparative performance study of several global thresholding techniques for segmentation. Computer Vision, Graphics, and Image Processing 52:171-190.
15. Peters, R.A. 1995. A new algorithm for image noise reduction using mathematical morphology. IEEE Transactions on Medical Imaging 4(5):554-568.
16. Quick, J.J., J.R.T. Hailey, and A.L. MacKay. 1990. Radial moisture profiles of cedar sapwood during drying: A proton magnetic resonance study. Wood and Fiber Sci. 22(4):404-412.
17. Scollar, I., B. Weidner, and T.S. Huang. 1984. Image enhancement using the median and the interquartile distance. Computer Vision, Graphics, and Image Processing 25: 236-251.
18. Steele, P.H., T.E.G. Harless, F.G. Wagner, L. Kumar, and F.W. Taylor. 1994. Increased lumber value from optimum orientation of internal defects with respect to sawing pattern in hardwood sawlogs. Forest Prod. J. 44(3):69-72.
19. Szymani, R., 1987. Summary Remarks on The 2nd Inter. Conference on Scanning Technology in Sawmilling. Oakland, Calif.
20. Taylor, F.W., F.G. Wagner, C.W. McMillan, I.L. Morgan, and F.F. Hopkins. 1984. Locating knots by industrial tomography-A feasibility study. Forest Prod. J. 34(5):42-46.
21. Tsai, W.H. 1985. Moment-preserving thresholding: A new approach. Computer Vision, Graphics and Image Processing 29: 377-393.
22. Vincent, L. 1993. Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms. IEEE Transactions on Image Processing 2(2): 176-201.
23. Wagner, F.G., F.W. Taylor, D.S. Ladd, C.W. McMillan, and F.L. Roder. 1989. Ultrafast CT scanning of an oak log for internal defects. Forest Prod. J. 39(11/12):62-64.
24. Wang, P.C. and S.J. Chang. 1986. Nuclear magnetic resonance imaging of wood. Wood and Fiber Sci. 18(2):308-314.
25. Zhu, D., R. Conners, F. Lamb, and P. Araman. 1991. A computer vision system for locating and identifying internal log defects using CT imagery. 4th Inter. Conference on Scanning Technology in Sawmilling, Oakland, Calif.