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Publication Information

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Title: A Computer Vision System forAnalyzing Images of Rough Hardwood Lumber

Author: Cho, Tai-Hoon; Conners, Richard W.; Araman, Philip A.

Date: 1990

Source: Proceedings, 10th International Conference on Pattern Recognition. pp. 726-728.

Publication Series: Miscellaneous Publication

Description: A sawmill cuts logs into lumber and sells this lumber to secondary remanufacturers. The price a sawmiller can charge for a volume of lumber depends on its grade. For a number of species the price of a given volume of material can double in going from one grade to the next higher grade. While the grade of a board largely depends on the distribution of defects on the board√Ęs surface, the grade of the board can usually be increased by appropriate edging and trimming. Optimal edging and trimming can markedly increase sawmill profits. In this paper research aimed at creating a computer vision system to power such an optimal edging and trimming system is described. This system is designed to analyze images of rough hardwood lumber in a species independent manner. Results are presented that demonstrate the capabilities of the current system.

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Citation:


Cho, Tai-Hoon; Conners, Richard W.; Araman, Philip A. 1990. A Computer Vision System forAnalyzing Images of Rough Hardwood Lumber. Proceedings, 10th International Conference on Pattern Recognition. pp. 726-728.

 


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