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The Effect of Median Filtering on Edge Estimation and Detection
February 1987 (vol. 9 no. 2)
pp. 181-194
Alan Conrad Bovik, Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL 61801; Department of Electrical and Computer Engineering, Univ
Thomas S. Huang, Coordinated Science Laboratory, Department of Electrical Engineering, University of Illinois, Urbana, IL 61801.
David C. Munson, Coordinated Science Laboratory, Department of Electrical Engineering, University of Illinois, Urbana, IL 61801.
In this paper we consider the effect of median prefiltering on the subsequent estimation and detection of edges in digital images. Where possible, a quantitative statistical comparison is made for a number of filters defined with two-dimensional geometries; in some cases one-dimensional analyses are required to illustrate certain points. Noise images prefiltered by median filters defined with a variety of windowing geometries are used to support the analysis, and it is found that median prefiltering improves the performance of both thresholding and zero-crossing based edge detectors.
Citation:
Alan Conrad Bovik, Thomas S. Huang, David C. Munson, "The Effect of Median Filtering on Edge Estimation and Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 2, pp. 181-194, Feb. 1987, doi:10.1109/TPAMI.1987.4767894
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