NDLI: Automatic tree-ring mark detection for teak and pine trees

Content Provider	IEEE Xplore Digital Library
Author	Chanwimaluang, T. Siricharoenchai, R. Sunpetniyom, T. Sinthupinyo, W.
Copyright Year	2009
Description	Author affiliation: National Electronics and Computer Technology Center, Pathumthani, Thailand (Chanwimaluang, T.; Siricharoenchai, R.; Sunpetniyom, T.; Sinthupinyo, W.)
Abstract	In this paper, we address the problem of tree-ring mark detection for teak and pine trees. Tree ring marks, especially from teak images, are barely visible since they are well-blended with the background. Moreover, wood patterns are spread across the timber samples. In addition, noise appears all over the samples. Therefore, the tree ring marks are hardly detectable. To cope with the indistinct tree-ring marks, we present a new automatic tree-ring mark detection algorithm. First, Anisotropic diffusion technique is employed to enhance boundaries, and at the same time, try to eliminate noise and wood patterns. Then, strong edges are detected by using Canny method. Next, convolutional kernels are applied to extract horizontally-inclined lines. Subsequently, connected component labeling is used to get rid of the remaining noise. After that, mathematical manipulation is exploited to get the tree ring marks. Simulation results demonstrate that the proposed method can provide robust and feasible tree-ring mark locations.
Starting Page	1028
Ending Page	1031
File Size	440204
Page Count	4
File Format	PDF
ISBN	9781424433872
DOI	10.1109/ECTICON.2009.5137220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-06
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature Anisotropic magnetoresistance Image edge detection Brightness Skeleton Noise robustness Labeling Detection algorithms Kernel Meteorology
Content Type	Text
Resource Type	Article

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