Moment invariants for automated inspection of printed material
Journal Article
·
· Optical Engineering; (United States)
- Oak Ridge National Lab., Oak Ridge, TN (US)
In this paper, 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 two-dimensional 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 form 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.
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 7029395
- Journal Information:
- Optical Engineering; (United States), Journal Name: Optical Engineering; (United States) Vol. 30:4; ISSN OPEGA; ISSN 0091-3286
- Country of Publication:
- United States
- Language:
- English
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