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Volume 31 Issue 01
Jan.  2005
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Journal of Beijing University of Aeronautics and Astronautics  > 2005  >  31(01): 82-85.
Long Defan, Fan Shangchun, Pang Hongbinget al. Image processing and analysis algorithms for measuring log volume[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(01): 82-85. (in Chinese)
Citation: Long Defan, Fan Shangchun, Pang Hongbinget al. Image processing and analysis algorithms for measuring log volume[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(01): 82-85. (in Chinese)
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Image processing and analysis algorithms for measuring log volume

  • 1.

    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 15 Jul 2003
  • Publish Date: 31 Jan 2005
    Abstract
  • The key image processing and analysis algorithms were investigated and designed based on operating principle of the automatic system for log volume measurement. Hough transform (HT) was applied to the image since log ends are quasi-circular. Peaks of the HT were detected in maximal balls corresponding toeach maximum skeleton point. Consequently, the image was coarsely segmented by each HT peak corresponding to one log end. The active contour model was transformed into the polar coordinates. And the maxima of image gradient were selected as candidate points of log end contour. Global minimum of the energy functional can be found using dynamic programming. With this approach, the precise contours of the log ends can be extracted. Experiment shows that the proposed algorithms are of significance.

     

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  • [1] GB/T 144-1995, 原木检验[S] B/T 144-1995,Testing log[S] [2] 樊尚春,龙德帆,庞宏冰,等.原木材积自动化检测系统[J].中国造纸,2003,22(3):27~29 Fan Shangchun, Long Defan, Pang Hongbing, et al, The automatic system for measuring the log volume[J]. China Pulp & Paper,2003,22(3):27~29(in Chinese) [3] 栾 新,朱铁一.不规则类圆形目标图像识别新策略[J].中国图像图形学报,1999,4(3):202~206 Luan Xin, Zhu Tieyi. The new recognition algorithm for irregular quasi-circular object[J]. Journal of Image and Graphics,1999,4(3):202~206(in Chinese) [4] Wang Yaming, Huang Wenqing, Zhao Yun. Computer vision technology in log volume inspection[J]. Journal of Forestry Research, 2002,13(1):67~70 [5] 贾云得.机器视觉[M].北京:科学出版社,2000. 122~126 Jia Yunde. Machine Vision[M]. Beijing:Science Press, 2000.122~126(in Chinese) [6] Milan Sonka, Vaclav Hlavac, Roger Boyle. Image processing, analysis, and machine vision [M]. Beijing:Thomson Asia Pte Ltd, 2002. 576~586 [7] Kass M, Within A, Tetsoopou D. Snake:active contour model[J]. International Journal of Computer Vision, 1988,1(4):321~331 [8] Amini A A, Weymouth T E, Jain R C. Using dynamic programming for solving variational problems in vision[J]. IEEE Transaction on Patten Analysis and Machine Intelligence, 1990,12(9):855~867
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