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Proceedings Paper

Facet model and mathematical morphology for surface characterization
Author(s): Besma R. Abidi; Hamed Sari-Sarraf; James S. Goddard; Martin A. Hunt
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Paper Abstract

This paper describes an algorithm for the automatic segmentation and representation of surface structures and non-uniformities in an industrial setting. The automatic image processing and analysis algorithm is developed as part of a complete on-line web characterization system of a paper making process at the wet end. The goal is to: (1) link certain types of structures on the surface of the web to known machine parameter values, and (2) find the connection between detected structures at the beginning of the line and defects seen on the final product. Images of the pulp mixture, carried by a fast moving table, are obtained using a stroboscopic light and a CCD camera. This characterization algorithm succeeded where conventional contrast and edge detection techniques failed due to a poorly controlled environment. The images obtained have poor contrast and contain noise caused by a variety of sources.

Paper Details

Date Published: 26 August 1999
PDF: 11 pages
Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); doi: 10.1117/12.360312
Show Author Affiliations
Besma R. Abidi, Oak Ridge National Lab. (United States)
Hamed Sari-Sarraf, Oak Ridge National Lab. (United States)
James S. Goddard, Oak Ridge National Lab. (United States)
Martin A. Hunt, Oak Ridge National Lab. (United States)


Published in SPIE Proceedings Vol. 3837:
Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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