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<p>Deals with the design of filter kernels having specified radial and angular frequency responses based on combined optimization and frequency sampling. This is used to generate small-radius, low-pass, and edge-detection kernels for multiresolution pyramids. The performance of the new kernels in estimating orientation is shown to be significantly better than that of other commonly used pyramid kernels.</p>
radial frequency responses; pattern recognition; picture processing; multiresolution edge detection; orientation estimation; filter kernels; angular frequency responses; optimization; frequency sampling; multiresolution pyramids; filtering and prediction theory; optimisation; pattern recognition; picture processing

A. Bhalerao and R. Wilson, "Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 14, no. , pp. 384-390, 1992.
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