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Proceedings Paper

Synthesis of correlation filters: a generalized space-domain approach for improved filter characteristics
Author(s): Subramania I. Sudharsanan; Abhijit Mahalanobis; Malur K. Sundareshan
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Paper Abstract

Discrete frequency domain design of Minimum Average Correlation Energy filters for optical pattern recognition introduces an implementational limitation of circular correlation. An alternative methodology which uses space domain computations to overcome this problem is presented. The technique is generalized to construct an improved synthetic discriminant function which satisfies the conflicting requirements of reduced noise variance and sharp correlation peaks to facilitate ease of detection. A quantitative evaluation of the performance characteristics of the new filter is conducted and is shown to compare favorably with the well known Minimum Variance Synthetic Discriminant Function and the space domain Minimum Average Correlation Energy filter, which are special cases of the present design.

Paper Details

Date Published: 27 December 1990
PDF: 11 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23409
Show Author Affiliations
Subramania I. Sudharsanan, Univ. of Arizona (United States)
Abhijit Mahalanobis, Univ. of Arizona (United States)
Malur K. Sundareshan, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)

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