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.
1p-norm optimum filters for image recognition
Algorithms, Devices, and Systems for Optical Information Processing III ; 1999 ; Denver,CO,United States
Proc. SPIE ; 3804
1999-10-01
Conference paper
Electronic Resource
English
1~p-norm optimum filters for image recognition [3804-08]
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