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Proceedings Paper

Wood industrial application for quality control using image processing
Author(s): M. J. Oliveir Ferreira; J. A. Campos Neves
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Paper Abstract

This paper describes an application of image processing for the furniture industry. It uses an input data, images acquired directly from wood planks where defects were previously marked by an operator. A set of image processing algorithms separates and codes each defect and detects a polygonal approach of the line representing them. For such a purpose we developed a pattern classification algorithm and a new technique of segmenting defects by carving the convex hull of the binary shape representing each isolated defect.

Paper Details

Date Published: 23 November 1994
PDF: 12 pages
Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); doi: 10.1117/12.196081
Show Author Affiliations
M. J. Oliveir Ferreira, INESC-Porto (Portugal)
J. A. Campos Neves, INESC-Porto (Portugal)

Published in SPIE Proceedings Vol. 2249:
Automated 3D and 2D Vision
Rolf-Juergen Ahlers; Donald W. Braggins; Gary W. Kamerman, Editor(s)

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