The effect of median filtering on edge location estimation

G. J. Yang, T. S. Huang

Research output: Contribution to journalArticlepeer-review

Abstract

We study the effect of noise reduction preprocessing, specifically median filtering and averaging, on the accuracy of edge location estimation using least squares. The original edge is either a step or a linear ramp, corrupted by white Gaussian noise or binary symmetrical channel noise. The surprising conclusion is that in the case of white Gaussian noise, neither median filtering nor averaging improves the estimation accuracy. In the case of binary symmetrical channel noise, median filtering does improve the estimation accuracy for ramp edges, which are reasonable models for real-life edges.

Original languageEnglish (US)
Pages (from-to)224-245
Number of pages22
JournalComputer Graphics and Image Processing
Volume15
Issue number3
DOIs
StatePublished - Mar 1981

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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