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A computer vision system for analyzing images of rough hardwood lumber

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3 Author(s)
Cho, T.-H. ; Dept. of Electr. Eng., Virginia Tech., Blacksburg, VA, USA ; Conners, R.W. ; Araman, P.A.

A computer vision system for locating and identifying defects on rough hardwood lumber in a species-independent manner is described. The system consists of three modules: a low-level module, a mid-level module, and a high-level module. The low-level module is a segmentation module that segments an input board image using a histogram-based thresholding method. The mid-level module eliminates small noise regions, merges similar adjacent regions, and computes region properties of merged regions. The high-level module identifies the defects present in each of the regions passed to it using a rule-based approach. The system is designed to be used in an automatic edger and trimmer for hardwood lumber in order to optimize the value of the hardwood boards processed

Published in:

Pattern Recognition, 1990. Proceedings., 10th International Conference on  (Volume:i )

Date of Conference:

16-21 Jun 1990

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