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Optimal Edge Detector Design II: Coefficient Quantization
February 1986 (vol. 8 no. 2)
pp. 178-187
Wolfram H. H. J. Lunscher, Research and Development Division, Develcon Electronics Limited, Saskatoon. Canada.
Michael P. Beddoes, Department of Electrical Engineering, University of British Columbia, Vancouver, B.C., Canada V6T 1W5.
A companion paper describes the design and implementation of the Laplacian of a Gaussian edge detection filter which localizes edges through zero crossings in the filtered image. Accuracy in the presence of noise has been found to be proportional to the square root of the filter's standard deviation. Digital implementation of any continuous filter requires sampling and coefficient quantization. The sampled filter was examined, but a method is proposed here for selection of a minimum coefficient word size for direct-form implementation to satisfy in-band rejection bounds.
Citation:
Wolfram H. H. J. Lunscher, Michael P. Beddoes, "Optimal Edge Detector Design II: Coefficient Quantization," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 2, pp. 178-187, Feb. 1986, doi:10.1109/TPAMI.1986.4767771
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