Image Segmentation has historically been a difficult part of Image Analysis in Infrared Imaging. Solutions include using a low-emissivity or cold material as a background or using a separate visual camera to perform image analysis tasks such as with the FLIR One. The proposed method utilises Stereophotogrammetry to obtain a depth map which is subsequently refined and segmented into fore- and background to give an accurate depiction of the object being imaged. The resulting 3D model can then be viewed on a computer for further analysis.

Original languageEnglish
Title of host publicationVipIMAGE 2017
Subtitle of host publication Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017
EditorsJoão Manuel R.S. Tavares, Renato Natal Jorge
PublisherSpringer Verlag
Pages1025-1034
Number of pages10
Volume27
ISBN (Electronic)978-3-319-68195-5
ISBN (Print)978-3-319-68194-8
DOIs
Publication statusE-pub ahead of print - 13 Oct 2017
EventVI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing - Porto, Portugal
Duration: 18 Oct 201720 Oct 2017

Publication series

NameLecture Notes in Computational Vision and Biomechanics
PublisherSpringer International Publishing
Volume27
ISSN (Print)2212-9391
ISSN (Electronic)2212-9413

Conference

ConferenceVI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
Abbreviated titleVIPIMAGE
Country/TerritoryPortugal
CityPorto
Period18/10/1720/10/17

ID: 1617342