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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 8 — Mar. 10, 1999
  • pp: 1317–1324

Method of Target Detection in Images by Moment Analysis of Correlation Peaks

Robert S. Caprari  »View Author Affiliations


Applied Optics, Vol. 38, Issue 8, pp. 1317-1324 (1999)
http://dx.doi.org/10.1364/AO.38.001317


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Abstract

Automatic target detection and recognition in images often is attempted by use of a linear correlation filter (matched filter), whose output is interpreted by a single pointwise detector (detection based on only one point). I examine a technique for significantly improving the performance of this target detection approach by supplementing the pointwise detector with several neighborhood correlation peak detectors (detection based on a domain of many points extending over much of the peak). The neighborhood detectors extract peak shape information through a moment analysis of correlation plane peaks. I describe the design of statistically quasi-optimal correlation peak discriminators based on second-order geometric moments.

© 1999 Optical Society of America

OCIS Codes
(100.1160) Image processing : Analog optical image processing
(100.2000) Image processing : Digital image processing
(100.4550) Image processing : Correlators
(100.5010) Image processing : Pattern recognition

Citation
Robert S. Caprari, "Method of Target Detection in Images by Moment Analysis of Correlation Peaks," Appl. Opt. 38, 1317-1324 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-8-1317


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