Appl. Opt. 36, 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
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