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Proceedings Paper

1p-norm optimum filters for image recognition
Author(s): Bahram Javidi; Nasser Towghi
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Paper Abstract

The performance of linear and nonlinear processors (filters) for image recognition which are Ip-norm optimum in terms of tolerance to input noise and discrimination capabilities. These processors were developed by minimizing the Ip- norm of the filter output due to the input scene and the output due to the noise. The performance of the Ip-norm optimum filters is tested by measuring the average peak-to- sidelobe ratio of the output of the filters for different values of p. In addition, the performance of these filters is tested further by placing a target in a scene containing additive noise and realistic background scene. For the images presented here, the filters detected the target in the presence of additive noise and realistic background scene.

Paper Details

Date Published: 1 October 1999
PDF: 10 pages
Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999); doi: 10.1117/12.363978
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Nasser Towghi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 3804:
Algorithms, Devices, and Systems for Optical Information Processing III
Bahram Javidi; Demetri Psaltis, Editor(s)

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