MULTI-SCALE EDGE DETECTION WITH GAUSSIAN FILTERS.

Xinhua Zhuang, Thomas S Huang

Research output: Contribution to journalConference article

Abstract

The authors give a possible solution to the multiscale edge detection problem. For ease of presentation only one-dimensional results are given; however, the proposed multiscale detector could be extended to include general two-dimensional images. Edge and inflection points are defined for 1-D images, and a simple statistical analysis of Gaussian filtering is given to show how noise removal is improved as the variance of a Gaussian filter increases. It is shown that the Gaussian filtering first suggested by D. Marr (1982) provides a good choice, but not a unique choice, for multiscale edge detectors.

Original languageEnglish (US)
Pages (from-to)2047-2050
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Dec 1 1986

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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