Paper
2 February 1998 Representing the object model for automatic visual inspection using a description language
Robert Sablatnig, Christian Menard
Author Affiliations +
Proceedings Volume 3306, Machine Vision Applications in Industrial Inspection VI; (1998) https://doi.org/10.1117/12.301239
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
The major drawbacks of automated visual inspection systems are the high set-up costs resulting from hard- and software development costs, labor, and maintenance costs. The key to solving the problem of flexibility is the development of visual inspection systems which are able to inspect a large variety of different objects without or only partly changing the analysis algorithm. One aspect in this design is the representation of the object to be inspection. A priori knowledge is used implicitly or explicitly by all visual inspection systems, since inspection can only be performed by matching the object under inspection with a set of predefined conditions of acceptability. These specifications are described by an explicit object model, that includes all relevant object features. The second representation of the object is the image containing the object. Within the image, object features are represented as image features, that have to be detected by feature detection algorithms. This paper shows an inspection model that allows a flexible object- specific description, defined in a so-called description language. This model has primitives as nodes and relations between the primitives as arcs. Furthermore tolerances and weights indicating the importance of detection are also part of the model. On the case study of analogue display instruments the representation and generation of the inspection model is shown.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Sablatnig and Christian Menard "Representing the object model for automatic visual inspection using a description language", Proc. SPIE 3306, Machine Vision Applications in Industrial Inspection VI, (2 February 1998); https://doi.org/10.1117/12.301239
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Cited by 1 scholarly publication.
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KEYWORDS
Inspection

Optical inspection

Tolerancing

Systems modeling

Algorithm development

Clocks

Visual process modeling

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