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Abstract

In most mass-production manufacturing facilities, an attempt is often made to achieve 100% quality assurance of all parts, subassemblies, and finished products. One of the most difficult tasks in this process is that of inspecting for visual appearance —an inspection that seeks to identify both functional and cosmetic defects. Undoubtedly, the automation of visual inspection will increase productivity and improve product quality.

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© 1992 Springer-Verlag Berlin Heidelberg

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Chin, R.T. (1992). Automated Visual Inspection Algorithms. In: Torras, C. (eds) Computer Vision: Theory and Industrial Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48675-3_10

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  • DOI: https://doi.org/10.1007/978-3-642-48675-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-48677-7

  • Online ISBN: 978-3-642-48675-3

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