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Optical Engineering

Moment invariants for automated inspection of printed material
Author(s): Marc L. Simpson; Richard L. Schmoyer; Martin A. Hunt
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Paper Abstract

The use of moment invariants for the detection of flaws in automated image processing inspection of printed graphic material is investigated. Prior work with moment invariants has concentrated on twodimensional image pattern recognition. A major limitation in pattern recognition applications has been the segmentation of the image from its background. Automated image processing inspection of printed material does not suffer from this limitation because a standard image background exists. The potential for separating flawed and unflawed printed material using moment invariants is demonstrated with formal statistical experiments.

Paper Details

Date Published: 1 April 1991
PDF: 7 pages
Opt. Eng. 30(4) doi: 10.1117/12.55813
Published in: Optical Engineering Volume 30, Issue 4
Show Author Affiliations
Marc L. Simpson, Oak Ridge National Lab. (United States)
Richard L. Schmoyer, Oak Ridge National Lab. (United States)

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