Paper Title:
Image Segmentation of Wood with Knot Defects Based on Gray Transformation
  Abstract

Wood knot image obtained by X-ray was done gray transformation. The contrast of the image after gray transformation can be enhanced obviously and the position of knot can be highlighted. Binary processing was adopted for the image after gray transformation. The defects areas of the binary images are filled. Then, invert the best binary image of wood defect, and then adduct the obtained image. The result of wood defect image plus is that defects regions take apart completely with their background, which means the image segmentation is completed. Wood utilization is improved. The experiment results show that this method is feasible and effective.

  Info
Periodical
Chapter
Chapter 3: Frontiers of Civil Engineering
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
1691-1694
DOI
10.4028/www.scientific.net/AMM.71-78.1691
Citation
H. B. Mu, D. W. Qi, M. M. Zhang, "Image Segmentation of Wood with Knot Defects Based on Gray Transformation", Applied Mechanics and Materials, Vols. 71-78, pp. 1691-1694, 2011
Online since
July 2011
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Price
$32.00
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