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1 October 1999 1p-norm optimum filters for image recognition
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi and Nasser Towghi "1p-norm optimum filters for image recognition", Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999);

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