Pattern recognition in nonoverlapping background with noisy target image

In the design of conventional correlation filters for pattern recognition, the appearance and the shape of a target are assumed to be known. In this work, the target is assumed to have unknown coordinates in a noise-corrupted reference image. We obtain a filter th at is optimal in terms of the ratio...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2010-06, Vol.20 (2), p.163-168
Main Authors: Aguilar-Gonzàlez, P. M., Kober, V., Ovseyevich, I. A.
Format: Article
Language:English
Subjects:
Background noise
Computer Science
Computer simulation
Correlation
Design engineering
Expected values
Fourier transforms
Image analysis
Image Processing and Computer Vision
Mathematical Methods in Pattern Recognition
Noise
Optimization
Pattern Recognition
Studies
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Summary:In the design of conventional correlation filters for pattern recognition, the appearance and the shape of a target are assumed to be known. In this work, the target is assumed to have unknown coordinates in a noise-corrupted reference image. We obtain a filter th at is optimal in terms of the ratio of the correlation peak to the energy of the correlation plane. Computer simulation is used to compare the performance of the conventional and the developed filters with regard to the detection of targets.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661810020070