Paper
30 April 1987 Normalized Correlation Search In Alignment, Gauging, And Inspection
William M. Silver
Author Affiliations +
Abstract
This paper is an in-depth look at determining the location and quality of image features by normalized correlation. We have investigated its accuracy, repeatability, and susceptibility to various forms of image degradation, and compared the results to other methods of locating features. We also present a novel, inexpensive device that performs the necessary computations very efficiently. The emphasis is on locating features for current, practical applications in manufacturing automation.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William M. Silver "Normalized Correlation Search In Alignment, Gauging, And Inspection", Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); https://doi.org/10.1117/12.940003
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CITATIONS
Cited by 58 scholarly publications and 2 patents.
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KEYWORDS
Correlation function

Detection and tracking algorithms

Image quality

Pattern recognition

Signal to noise ratio

Inspection

Edge detection

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