Boundary detection through fuzzy clustering

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Boundary detection in digital images is viewed as a clustering problem. A survey of boundary detection techniques based on fuzzy clustering is presented. Algorithms to detect linear, planar, and curved boundary detection are surveyed. Limitations of these techniques are discussed, along with a review of approaches proposed to overcome these limitations.

Original languageEnglish (US)
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherPubl by IEEE
Pages127-134
Number of pages8
ISBN (Print)0780302362
StatePublished - Dec 1 1992
Event1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE - San Diego, CA, USA
Duration: Mar 8 1992Mar 12 1992

Publication series

Name92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE

Other

Other1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
CitySan Diego, CA, USA
Period3/8/923/12/92

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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