Journal
OPTIK
Volume 124, Issue 17, Pages 2833-2836Publisher
ELSEVIER GMBH
DOI: 10.1016/j.ijleo.2012.08.058
Keywords
Wood species recognition; Image processing; Histogram; Color; Snake
Categories
Funding
- Fundamental Research Funds for the Central Universities [DL12DB06]
- Heilongjiang Province Postdoctoral Research Funds [LBH-Q10162]
- Chinese Postdoctoral Science Funds [2011M500629, 2012T50318]
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In this paper, we propose a robust wood species classification scheme using color wood surface images. First, a novel 2D wood image measurement machine is devised, and the wood RGB color image is converted into a combined gray scale image. Second, the corresponding gray histogram is established, which will be used as the classification feature. Third, an improved snake model is used to fulfill the curve deformation of the histogram curve of the standard specimen. This snake will then converge to the histogram curve of the test specimen. Finally, pattern recognition is performed by comparing the initial and final snakes with the histogram curve of the test specimen. We have experimentally proved that this scheme improves the recognition accuracy, which can efficiently discriminate the intraspecific color variation and the interspecific color variation. (C) 2012 Elsevier GmbH. All rights reserved.
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