Synthesis of correlation filters: a generalized space-domain approach for improved filter characteristics

Subramania I. Sudharsanan; Abhijit Mahalanobis; Malur K. Sundareshan

doi:10.1117/12.23409

27 December 1990 Synthesis of correlation filters: a generalized space-domain approach for improved filter characteristics

Subramania I. Sudharsanan, Abhijit Mahalanobis, Malur K. Sundareshan

Author Affiliations +

Proceedings Volume 1347, Optical Information Processing Systems and Architectures II; (1990) https://doi.org/10.1117/12.23409
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Subramania I. Sudharsanan, Abhijit Mahalanobis, and Malur K. Sundareshan "Synthesis of correlation filters: a generalized space-domain approach for improved filter characteristics", Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); https://doi.org/10.1117/12.23409

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