Recent developments in wood inspection

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 10, Issue 1, 1996, Pages 83-95

  Silvén, Olli ^a   Kauppinen, Hannu ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

Color imaging; Lumber grading; Visual inspection; Wood surfaces

Indexed keywords

ARTIFICIAL VISION; DEFECTS; IMAGING; QUALITY CONTROL;

COLOR IMAGE; GREY LEVEL IMAGE;

COMPUTER VISION;

EID: 0030352529     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001496000086     Document Type: Article

References (19)

1. I. Moring and O. Silvén, "Automatic visual lumber inspection: Experiments", Finnish Artificial Intelligence Symp. STeP-86, vol. 2, 1986, pp. 290-294.
2. M. Sipi, "Havusahatavaran lajittelun perusteita (The principles of grading softwood)", Dissertation, Helsinki University of Technology, Finland, 1991.
3. H. A. Huber, C. W. McMillin, and J. P. McKinney, "Lumber defect detection abilities of furniture rough mill employees", Forest Products J. 35 (1985) 79-82.
4. W. Pölzleitner, G. Schwingshakl, and G. Paar, "ARGUS - a flexible real-time system for 2D defect and texture classification of wooden materials", Proc. SPIE Optics in Agriculture, Forestry, and Biological Processing, vol. 2345, Boston, Massachusetts, 1995, pp. 50-58.
5. B. K. Ersbøll and K. Conradsen, "Automated grading of wood slabs: The development of a prototype system", Industrial Metrology 2 (1992) 219-236.
6. D. Paul, W. Hättich, W. Nill, S. Tatari, and G. Winkler, "VISTA: Visual interpretation system for technical applications-architecture and use", IEEE Trans. Pattern Anal. Machine Intell. (1988) 399-407.
7. FinScan Ltd., "BoardMaster", Sales Brochure, P.O.Box 125, FIN-02201 Espoo, Finland.
8. I. Yläkoski and A. Visa, "A two-stage classifier for wooden boards", Proc. 8th Scandinavian Conf. on Image Analysis, Tromsø, Norway, 1993, pp. 637-641.
9. C. W. Kim and A. J. Koivo, "Hierarchical classification of surface defects on dusty wood boards", Pattern Recogn. Lett. 15 (1994) 713-721.
10. R. W. Conners, T. C. Cho, C. T. N, and T. H. Drayer, "A machine vision system for automatically grading hardwood lumber", Industrial Metrology 2 (1992) 317-342.
11. J-F. Portala and J. Ciccotelli, "Nondestructive testing techniques applied to wood scanning", Industrial Metrology 2 (1992) 299-307.
12. C. C. Brunner, A. G. Maristany, D. A. Butler, D. VanLeeuwen, and J. W. Funck, "An evaluation of color spaces for detecting defects in Douglas fir veneer", Industrial Metrology 2 (1992) 169-184.
13. E. Marszalec and M. Pietikäinen, "Colour analysis of defects for automated visual inspection of pine wood", Proc. SPIE Machine Vision Applications tn Industrial Inspection II, vol. 1907, San Jose, CA, USA, 1993, pp. 80-94.
14. E. Marszalec and M. Pietikäinen, "On-line color camera calibration", 12th Int. Conf. on Pattern Recognition, vol. 1, Jerusalem, Israel, 1994, pp. 232-237.
15. H. Kattppinen and O. Silvén, "Development of color vision based solutions for lumber grading", Proc. SPIE Machine Vision Applications in Industrial Inspection III, vol. 2423, San Jose, CA, USA, 1995.
16. Temet Vision Industry, "Color line scan camera", Sales brochure, Asentajankatu 3, FIN-00810 Helsinki, Finland.
17. O. Silvén and T. Laitinen, "Methods for detecting blobs on non-textured surfaces", Proc 6th Scandinavian Conf. on Image Analysis, vol. 2, Oulu, Finland, 1989, pp. 1156-1163.
18. M. Pietikäinen, P. Alapuranen, T. Seppänen, O. Silvén, and T. Westman, "The design of advanced vision systems for industrial inspection", Proc. SPIE Machine Vision and Systems: Integration and Applications, vol. 1615a Boston, Massachusetts, 1991, pp. 172-178.
19. J. Lampinen, S. Smolander, O. Silvén, and H. Kauppinen, "Wood defect recognition: A comparative study", Workshop on Machine Vision for Advanced Production, Oulu, Finland, 1994, p. 7.