Paper
18 January 1988 Selection And Parametrization Of Texture Analysis Methods For The Automation Of Industrial Visual Inspection Tasks
M.Sehran Tatari
Author Affiliations +
Abstract
The industrial visual inspection of textured surfaces can be automated by using computationally cheap texture analysis methods, provided their parameters are well adapted to the given task. A methodology for the selection and parametrization of such methods is proposed. The inspection of several different industrial products could be successfully automated by this methodology. Some of the mentioned texture analysis methods are implemented on the Visu-al Interpretation System for Technical Applications (VISTA). VISTA hardware modules for these algorithms are available or under development. By means of these modules the inspection can be carried out in real time.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M.Sehran Tatari "Selection And Parametrization Of Texture Analysis Methods For The Automation Of Industrial Visual Inspection Tasks", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942112
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Inspection

Defect detection

Optical inspection

Digital image processing

Image classification

Image processing

Algorithm development

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