Wood industrial application for quality control using image processing

M. J. Oliveir Ferreira; J. A. Campos Neves

doi:10.1117/12.196081

23 November 1994 Wood industrial application for quality control using image processing

M. J. Oliveir Ferreira, J. A. Campos Neves

Proceedings Volume 2249, Automated 3D and 2D Vision; (1994) https://doi.org/10.1117/12.196081
Event: Optics for Productivity in Manufacturing, 1994, Frankfurt, Germany

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.

Citation Download Citation

M. J. Oliveir Ferreira and J. A. Campos Neves "Wood industrial application for quality control using image processing", Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); https://doi.org/10.1117/12.196081

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