Previously [Appl. Opt. <b>36,</b> p. 9212 (1997)] we examined the performance of the linear and nonlinear preprocessed difference-of-Gaussians filter, and it was shown that this operation results in greater tolerance to in-class variations while maintaining excellent discrimination ability. The introduction of nonlinearity was shown to provide greater robustness to the filter’s response to noise and background clutter in the input scene. We incorporate this new operation into the synthesis of a modified synthetic discriminant function filter. The filter is shown to produce sharp peaks, excellent discrimination without the need to include out-of-class objects, and good invariance to out-of-plane rotation over a distortion range of up to 90°. Additionally, the introduction of nonlinearity is shown to provide greater robustness of the filter response to background clutter in the input scene.
© 1998 Optical Society of America
Lamia S. Jamal-Aldin, Rupert C. D. Young, and Chris R. Chatwin, "Synthetic Discriminant Function Filter Employing Nonlinear Space-Domain Preprocessing on Bandpass-Filtered Images," Appl. Opt. 37, 2051-2062 (1998)