A Performance Comparison of the MACE Filter to a Simple Nonlinear Extension
نویسندگان
چکیده
The minimum average correlation energy filter (MACE) [1] [5] is of interest to the ATD/R problem due to its inherent properties. As an image from the recognition class becomes centered on the filter mask, the MACE filter produces a sharp peak and as the image moves away from the center of the filter a low variance output results. The filter can be modified to produce a low variance output for a designated rejection class as well. Furthermore, the amplitude of the centered output is constrained for design exemplars in the recognition class and is guaranteed to be the maximum.
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