Multichannel Pattern Recognition Based on Circular Component Centering
نویسندگان
چکیده
Simple elementwise transformations, based on circular centering performed over multicomponent images before the channel correlations, are proposed for improving recognition of multicomponent objects. The transformations reduce a strong correlation between the channel components of real-life images. As a result, the subsequent channel correlations can be performed independently in the decorrelated channels. The multichannel pattern recognition with the elementwise transformations is analyzed in terms of noise robustness and discrimination capability. Computer simulations for noisy four-component test images and various correlation filters are provided and the results are discussed. Received January 20, 2002
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تاریخ انتشار 2002