Wood Recognition Based on Histogram Matching Algorithms

Tian Long Xu; Hang Jun Wang; Ling Jun Sun

doi:10.4028/www.scientific.net/AMM.58-60.1744

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Wood Recognition Based on Histogram Matching...

Wood Recognition Based on Histogram Matching Algorithms

Abstract:

The influences that different histogram matching algorithms have on identifying the softwood are research in this paper. The experiment partitions images according to three different ways of early wood-late wood transition, early wood, and randomization, and extracts the PCA(Principle Component Analysis) features of these wood images separately. Dividing Histogram matching algorithm into two categories of, bin-to-bin and cross-bin, experiments are conducted on wood recognition by four different histogram matching algorithms of the Euclidean, Chi-Square, EMD and Quadratic-Chi. The experimental results indicate that the histogram matching algorithms of cross-bin have the good effects on wood recognition, especially the quadratic-Chi distance put forward recently.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

1744-1748

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.1744

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Online since:

June 2011

Authors:

Tian Long Xu, Hang Jun Wang, Ling Jun Sun

Keywords:

EMD Distance, Histogram Matching, Quadratic-Chi Distance, Wood Recognition

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References

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