Image segmentation of human forearms in infrared image

  • Tae Ho Yoon
  • , Kyeong Seop Kim*
  • , Jeong Whan Lee
  • , Dong Jun Kim
  • , Chul Gyu Song
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Due to the possibility of detecting certain physiological conditions from thermal features of the skin surface acquired from infrared thermal imaging, the health conditions of a person can be revealed by analyzing the thermal signatures of his or her forearms regions in an infrared image. The assessment of hand's or arm's temperature distribution for clinical diagnosis or monitoring requires the confinement of region of interest (ROI) on the forearms regions. Hence, the purpose of this study is automatically to segment forearms regions in an infrared thermal image so that the clinicians can able to locate the interested regions and extract the skin temperature distributions with a high degree of reproducibility.

Original languageEnglish
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages2762-2765
Number of pages4
DOIs
StatePublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: 2006.08.302006.09.3

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/TerritoryUnited States
CityNew York, NY
Period06.08.3006.09.3

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Medicine
  • Data Science
  • Biological Sciences

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