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Image processing and analysis algorithms for measuring log volume

  • Defan Long*
  • , Shangchun Fan
  • , Hongbing Pang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 to each 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.

Original languageEnglish
Pages (from-to)82-85
Number of pages4
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume31
Issue number1
StatePublished - Jan 2005

Keywords

  • Active contour model
  • Hough transform
  • Image processing
  • Log volume
  • Skeleton

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