TY - GEN
T1 - Applicability of Motion Estimation Algorithms for an Automatic Detection of Spiral Grain in CT Cross-Section Images of Logs
AU - Entacher, K.
AU - Lenz, C.
AU - Seidel, M.
AU - Uhl, A.
AU - Weiglmaier, R.
N1 - Conference code: 70956
Cited By :2
Export Date: 14 December 2023
Correspondence Address: Entacher, K.; Salzburg University of Applied SciencesAustria; email: [email protected]
References: (1999) Wood handbook - Wood as an engineering material. Gen.Tech.Rep.FPL-GTR-113, , http://www.fpl.fs.fed.us, Forest Products Laboratory, Madison, WI: U.S. Department of Agriculture, Forest Service. Online Version March; Harris, J.M., (1989) Spiral grain and wave phenomena in wood Formation, , Springer, Heidelberg; Nyström, J., (2002) Automatic measurement of compression wood and spiral grain for the predection of distortion in sawn wood products, , http://www.tt.luth.se/staff/jany, PhD thesis, Luleå University of Technology , Available from; Grönlund, A., Oja, J., Grundberg, S., Nyström, J., Ekevad, M., Process control based on measurement of spiral grain and heartwood content. Draft to be (2007) 18th International Wood Machining Seminar, , presented at The, Vancouver, Canada; Gindl, W., Teischinger, A., The potential of VIS- and NIR-spectroscopy for the nondestructive evaluation of grain-angle in wood (2002) Wood and Fiber Science, 34, pp. 651-656; Sepúlveda, P., Oja, J., Grönlund: Predicting spiral grain by computed tomography of norway spruce (2002) Journal of Wood Science, 48, pp. 479-483; Ekevad, M., Method to compute fiber directions in wood from computed tomography images (2004) Journal of Wood Science, 50, pp. 41-46; Teischinger, A., Patzelt, M.: XXL-Wood. Berichte aus Energie- und Umweltforschung 27/2006. BMVIT, Vienna, Austria. (March 2007) (2006), Online Version: www.fabrikderzukunft.at/; Teischinger, A., Buksnowitz, C., Müller, U.: Wood properties of old growth spruce and their technological potential. In: Kurjatko, S., Kudela, J., Lagaňa, R. (eds.) Proceedings of the 5th Symposium Wood Strucöture and Properties 06, pp. 413-416. Arbora Publishers, Zvolen, Slovakia (2006); Furht, B., (1997) Motion Estimation Algorithms for Video Compression, , Kluwer Academic Publishers, Boston, MA; Horn, B.K.P., Schunck, B.G., Determining optical flow (1981) Artificial Intelligence, 17, pp. 185-203; Lucas, B.D., Kanade, T., An iterative image registration technique with an application to stereo vision (1981) Proceedings of Imaging understanding workshop, pp. 121-130
PY - 2007
Y1 - 2007
N2 - Techniques for an automatic detection of spiral grain in cross-section CT images of logs are proposed and evaluated on sets of natural and artificial cross-section images. Explicit analysis of global rotation, block matching, and optical flow techniques are compared. Experimental results seem to indicate that spiral grain in fact cannot be modeled by a circular motion of luminance values in gray scale images. © Springer-Verlag Berlin Heidelberg 2007.
AB - Techniques for an automatic detection of spiral grain in cross-section CT images of logs are proposed and evaluated on sets of natural and artificial cross-section images. Explicit analysis of global rotation, block matching, and optical flow techniques are compared. Experimental results seem to indicate that spiral grain in fact cannot be modeled by a circular motion of luminance values in gray scale images. © Springer-Verlag Berlin Heidelberg 2007.
KW - Algorithms
KW - Computerized tomography
KW - Luminance
KW - Motion estimation
KW - Optical flows
KW - Automatic detection
KW - CT cross-section images
KW - Gray scale images
KW - Spiral grains
KW - Medical imaging
U2 - 10.1007/978-3-540-74272-2_5
DO - 10.1007/978-3-540-74272-2_5
M3 - Conference contribution
SN - 978-3-540-74271-5
VL - 4673 LNCS
T3 - Lecture Notes in Computer Science
SP - 36
EP - 44
BT - Computer Analysis of Images and Patterns
PB - Springer Verlag
CY - Vienna
T2 - 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007
Y2 - 27 August 2007 through 29 August 2007
ER -