EDGE DETECTION IN NOISY IMAGES USING RECURSIVE DIGITAL FILTERING.

J. W. Modestino, R. W. Fries

Research output: Chapter in Book/Report/Conference proceedingChapter

71 Scopus citations

Abstract

The problem of detecting edges in noisy digitized images is considered. A stochastic model of edge structure is proposed and the edge detection problem formulated as one of least mean-square spatial filtering. The resulting filtering structures are implemented as two-dimensional recursive digital filters. Computer experiments with this class of edge detectors will be described. The results indicate substantial advantages over conventional edge detectors in the presence of noise. Applications to real-world imagery data are discussed.

Original languageEnglish
Title of host publicationComput Graphics Image Process
Pages409-433
Number of pages25
Volume6
Edition5
StatePublished - Oct 1 1977

ASJC Scopus subject areas

  • Engineering(all)

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