Paper
12 January 1993 Real-valued composite filters for optical pattern recognition
Anushia Balendra, P. Karivaratha Rajan
Author Affiliations +
Abstract
The design of real-valued composite filters for optical pattern recognition and classification is considered. A procedure to design a real-valued minimum average correlation energy (MACE) filter is developed. Also, the design of a real MVSDF-MACE filter that minimizes the output variance due to input noise while maintaining a sharp correlation peak is developed. Computer simulation indicates that the performance of these real filters is almost as good as that of the complex filters.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anushia Balendra and P. Karivaratha Rajan "Real-valued composite filters for optical pattern recognition", Proc. SPIE 1772, Optical Information Processing Systems and Architectures IV, (12 January 1993); https://doi.org/10.1117/12.140928
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Cited by 2 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Image filtering

Distortion

Optical filters

Optical pattern recognition

Composites

Signal to noise ratio

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