Segmentation of wounds using gradient vector flow

Haneul Lee, Byung Uk Lee, Junhee Park, Wookyung Sun, Byungho Oh, Sejung Yang

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

6 Scopus citations

Abstract

Quantitative analysis of skin wound is critical in objective evaluation of a therapy. In this paper, a robust wound segmentation method is presented. The proposed method uses gradient vector flow (GVF), therefore, the segmentation is quite stable to variation of color characteristics of a camera used for image capture or illumination.

Original languageEnglish
Title of host publicationICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages390-391
Number of pages2
ISBN (Electronic)9781479985623
DOIs
StatePublished - 22 Mar 2016
EventInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 - Okinawa, Japan
Duration: 28 Nov 201530 Nov 2015

Publication series

NameICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences

Conference

ConferenceInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015
Country/TerritoryJapan
CityOkinawa
Period28/11/1530/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • image segmentation
  • linear discriminant analysis
  • skin wound

Fingerprint

Dive into the research topics of 'Segmentation of wounds using gradient vector flow'. Together they form a unique fingerprint.

Cite this