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15 September 2008 Nonlinear filter for pattern recognition using the scale transform
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Abstract
An invariant correlation digital system using a nonlinear filter is presented. The invariance to position, rotation and scale of the target is achieved via Fourier transform, mapping polar and Scale transform, respectively. We analyzed the performance of this filter with different nonlinearities k values according to the peak-to-correlation energy (PCE) metric. We found experimentally the best k value for rotation and scale and the confidence levels of the filters. The filter was applied to the complete alphabet letters where each letter is a problem image of 256x256 pixels in size. The results are presented and show a better performance when they are compared with linear filters.
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Angel Coronel-Beltrán and Josué Álvarez-Borrego "Nonlinear filter for pattern recognition using the scale transform", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70732H (15 September 2008); https://doi.org/10.1117/12.795056
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