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Proceedings Paper

Automatic inspection of the printing on soft drink cans by image processing analysis
Author(s): Catherine W. Ni
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Paper Abstract

This paper describes a machine vision, automatic inspection algorithm of the printings of soft drink cans by image processing analysis. There are two new techniques employed in this procedure to make the automatic inspection possible: (1) barcode referencing: we develop a fast barcode detection algorithm, such that when the cans pass through the image- taking area in the inspection lines with uncertain directions, we use barcode location as the reference point, (2) 2D matching: we connect the multiple view-angle images of the whole 3D cans' surfaces, then with artificial 2D images, we adjust the matching process for a flexible system inspection resolution requirements for the quality control decision making. This process inspects 3D cans with true color information and can easily replace different cans for inspection.

Paper Details

Date Published: 8 March 1999
PDF: 8 pages
Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); doi: 10.1117/12.341146
Show Author Affiliations
Catherine W. Ni, Opto-Electronic & Systems Labs. (Taiwan)


Published in SPIE Proceedings Vol. 3652:
Machine Vision Applications in Industrial Inspection VII
Kenneth W. Tobin; Ning S. Chang, Editor(s)

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