Abstract: A robust operator for natural-texture recognition, which works as a model of texture visual perception and enables a scale-and-orientation independent image interpretation, is presented. The visual cell behavior is modeled as a set of frequency-and-orientation selective filters in accordance with cortical channel characteristics and with the signal theory. The bandpasses of our frequency-and-orientation separable filters agree closely with psychophysiological experiments. Such a frequency filter may be any function with same frequency properties as visual system ones. Each 2D bandpass filter is constructed by crossing a 1D frequency selective filter with an orientation selective 1D filter. The output energies of those 2D filters enable a texture characterization which is especially interesting for a continuous multiresolution representation. This method allows us to compare textures with different orientations and scales by means of a simple translation in the response plane. The advantage of our model is its ability to process continuous variations while avoiding information redundancy.!
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