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Proceedings Paper

Morphological image processing for the recognition of surface defects
Author(s): Sabine Mueller; Bertram Nickolay
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Paper Abstract

Inspection is a very important task for quality control in a factory. The manual detection of surface defects is a time consuming and tedious task because defects are usually small and the area to be inspected is large. Image analysis is necessary to solve this problem. In this paper, morphological image processing for greylevel inspection is illustrated and applied on typical defects encountered on ceramics and textile material. A short introduction to mathematical morphology is also provided.

Paper Details

Date Published: 23 November 1994
PDF: 10 pages
Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); doi: 10.1117/12.196112
Show Author Affiliations
Sabine Mueller, Fraunhofer-Institut fuer Produktionsanlagen und Konstruktionstechnik (Germany)
Bertram Nickolay, Fraunhofer-Institut fuer Produktionsanlagen und Konstruktionstechnik (Germany)

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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