3D filter design for color pattern recognition

A color image is considered as a three-dimensional function in which the third dimension is the color axis. This approach permits the 3D generalization of the correlation between two images and the frequency filter design. In this work we analyze the properties of this 3D Fourier transform. Color pattern recognition is performed by means of a 3D correlation between an input colored image and the pattern to be detected. The spectrum whitening operation is analyzed in terms of the color transformation and some previously proposed element-wise transformations designed to improve the discrimination are revisited in this sense.

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