The Effect of Median Filtering on Edge Estimation and Detection

Alan Conrad Bovik, Thomas S. Huang, David C. Munson

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)181-194
Number of pages14
JournalIEEE transactions on pattern analysis and machine intelligence
VolumePAMI-9
Issue number2
DOIs
StatePublished - Mar 1987

Keywords

  • Computer vision
  • edge detection
  • image processing
  • median filter
  • order statistics

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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