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Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation
March 1992 (vol. 14 no. 3)
pp. 384-390

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.

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Index Terms:
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
Citation:
R. Wilson, A.H. Bhalerao, "Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 3, pp. 384-390, March 1992, doi:10.1109/34.120332
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