Abstract
A novel and efficient approach for detecting wood texture orientation by computer was presented. Four Matlab functions were tried to describe the relative position and orientation of wood texture pixels, to detect texture shape and to create skeletal lines image of wood texture, and BWMORPH function was found the best one. Then by Radon transform, it generated a signature composed of 180 values, each value summing up the size of texture lines that are shaped along that angle, and a two dimensional curve plot was drawn to represent the texture orientation of wood. Furthermore, it analyzed texture orientations of forty species as well as their general statistic laws, classified by softwood, hardwood, radial section and tangential section, and the results showed that texture orientation laws described by Radon transform plot and their extracting datum were in accord with the impression of wood texture that people possessed in daily life, which confirmed the validity of this new approach and their appealing utilization potentials.
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References
Deans S.R. 1983. The Radon transform and some of its application [M]. John Wiley & Sons, INC.
Guo H.W., Wang, Y., Yang, F.F., Liang, D.N. 2003. Linear chirp signals detection by Wavelet-Radon transform [J]. Journal of National University of Defense Technology,25(1): 91–94. (in Chinese)
Matlab. 2001. MATLAB 6.1 help document, the MathWorks, Inc.
Rey M.T., Tunaley J.K.E., Folinsbee J.T.,et al. 1990. Application of Radon transform techniques to wake detection in Seas at a SAR images [J]. IEEE Trans. Geosci. Remote Sensing,28(4): 553–560.
Wang, J.P. 1999. Some properties of Radon operator [J]. Acta Scientiarum Naturalium Universitatis NeiMongol,30(6): 675–676. (in Chinese)
Wang, S.Q., Jin, Y.Q. 2001. Ship wake detection in SAR images based on Radon transformation and morphologic image processing [J]. Journal of Remote Sensing,5(4): 289–294. (in Chinese)
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Foundation item: This paper was supported by the National Natural Science Foundation of China (No. 30471356).
Biography: YU Hai-peng (1978-), male, Doctor candidate and Lecture in Northeast Forestry University, Harbin 150040, P.R. China.
Responsible editor: Chai Ruihai
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Hai-peng, Y., Yi-xing, L. & Zhen-bo, L. Auto detection of wood texture orientation by Radon transform. Journal of Forestry Research 16, 1–4 (2005). https://doi.org/10.1007/BF02856843
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DOI: https://doi.org/10.1007/BF02856843