Paper
8 March 1999 Method of searching segmentation parameters applied to quality control of industrial pieces
Author Affiliations +
Abstract
This paper presents a method of searching segmentation parameters which has been developed for an industrial study. The problem consists in the detection of four types of defects on textured industrial parts: smooth surfaces, bumps, lacks of material and hollow knocked surfaces. The lighting system used in this application is not described in this paper but is presented in a previous study concerning the characterization of lighting.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre Geveaux, Sophie Kohler, Johel Miteran, and Frederic Truchetet "Method of searching segmentation parameters applied to quality control of industrial pieces", Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); https://doi.org/10.1117/12.341127
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Light sources and illumination

Image segmentation

Defect detection

Machine vision

Feature extraction

Feature selection

Image quality

RELATED CONTENT

Vision system for finished fabric inspection
Proceedings of SPIE (March 08 2002)
Machine vision techniques for rose grading
Proceedings of SPIE (November 29 1993)
Dynamic lighting system for specular surface inspection
Proceedings of SPIE (April 04 2001)
Research on on line grading system for pearl defect based...
Proceedings of SPIE (November 29 2007)

Back to Top