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A new morphological algorithm for contour extraction on ultrasound image

  • Dan Dan Li*
  • , Yi Shen
  • , Zhi Yan Liu
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This Paper describes a new algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The quality of ultrasound image is improved in this stage. The second stage extracts the image contour effectively employing morphological theory. The validity of the approach is demonstrated using several ultrasound images.

Original languageEnglish
Title of host publication2003 International Conference on Machine Learning and Cybernetics, ICMLC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2761-2764
Number of pages4
ISBN (Print)0780378652, 9780780378650
StatePublished - 2003
Event2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003 - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume5

Conference

Conference2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Contour Extraction
  • Fuzzy Sets
  • Morphology
  • Ultrasound Image

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