Segmentation of infrared images using stereophotogrammetry

Benjamin Kluwe; David Christian; Marius Miknis; Peter Plassmann; Carl Jones

doi:10.1007/978-3-319-68195-5_113

Segmentation of infrared images using stereophotogrammetry

Benjamin Kluwe^*, David Christian, Marius Miknis, Peter Plassmann, Carl Jones

^*Corresponding author for this work

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	VipIMAGE 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
Editors	João Manuel R.S. Tavares, Renato Natal Jorge
Publisher	Springer
Pages	1025-1034
Number of pages	10
Volume	27
ISBN (Electronic)	978-3-319-68195-5
ISBN (Print)	978-3-319-68194-8
DOIs	https://doi.org/10.1007/978-3-319-68195-5_113
Publication status	E-pub ahead of print - 13 Oct 2017
Event	VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing - Porto, Portugal Duration: 18 Oct 2017 → 20 Oct 2017

Publication series

Name	Lecture Notes in Computational Vision and Biomechanics
Publisher	Springer International Publishing
Volume	27
ISSN (Print)	2212-9391
ISSN (Electronic)	2212-9413

Conference

Conference	VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
Abbreviated title	VIPIMAGE
Country/Territory	Portugal
City	Porto
Period	18/10/17 → 20/10/17

Access to Document

10.1007/978-3-319-68195-5_113Licence: CC BY-NC-ND

Cite this

Kluwe, B., Christian, D., Miknis, M., Plassmann, P., & Jones, C. (2017). Segmentation of infrared images using stereophotogrammetry. In J. M. R. S. Tavares, & R. N. Jorge (Eds.), VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 (Vol. 27, pp. 1025-1034). (Lecture Notes in Computational Vision and Biomechanics; Vol. 27). Springer. https://doi.org/10.1007/978-3-319-68195-5_113

Kluwe, Benjamin ; Christian, David ; Miknis, Marius et al. / Segmentation of infrared images using stereophotogrammetry. VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. editor / João Manuel R.S. Tavares ; Renato Natal Jorge. Vol. 27 Springer, 2017. pp. 1025-1034 (Lecture Notes in Computational Vision and Biomechanics).

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title = "Segmentation of infrared images using stereophotogrammetry",

abstract = "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.",

author = "Benjamin Kluwe and David Christian and Marius Miknis and Peter Plassmann and Carl Jones",

year = "2017",

month = oct,

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doi = "10.1007/978-3-319-68195-5_113",

language = "English",

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volume = "27",

series = "Lecture Notes in Computational Vision and Biomechanics",

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editor = "Tavares, {Jo{\~a}o Manuel R.S. } and Jorge, {Renato Natal}",

booktitle = "VipIMAGE 2017",

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note = "VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE ; Conference date: 18-10-2017 Through 20-10-2017",

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Kluwe, B, Christian, D, Miknis, M, Plassmann, P & Jones, C 2017, Segmentation of infrared images using stereophotogrammetry. in JMRS Tavares & RN Jorge (eds), VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. vol. 27, Lecture Notes in Computational Vision and Biomechanics, vol. 27, Springer, pp. 1025-1034, VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, Porto, Portugal, 18/10/17. https://doi.org/10.1007/978-3-319-68195-5_113

Segmentation of infrared images using stereophotogrammetry. / Kluwe, Benjamin; Christian, David; Miknis, Marius et al.

VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. ed. / João Manuel R.S. Tavares; Renato Natal Jorge. Vol. 27 Springer, 2017. p. 1025-1034 (Lecture Notes in Computational Vision and Biomechanics; Vol. 27).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Segmentation of infrared images using stereophotogrammetry

AU - Kluwe, Benjamin

AU - Christian, David

AU - Miknis, Marius

AU - Plassmann, Peter

AU - Jones, Carl

PY - 2017/10/13

Y1 - 2017/10/13

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-68195-5_113

M3 - Conference contribution

AN - SCOPUS:85032360612

SN - 978-3-319-68194-8

VL - 27

T3 - Lecture Notes in Computational Vision and Biomechanics

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EP - 1034

BT - VipIMAGE 2017

A2 - Tavares, João Manuel R.S.

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T2 - VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

Y2 - 18 October 2017 through 20 October 2017

ER -

Kluwe B, Christian D, Miknis M, Plassmann P, Jones C. Segmentation of infrared images using stereophotogrammetry. In Tavares JMRS, Jorge RN, editors, VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Vol. 27. Springer. 2017. p. 1025-1034. (Lecture Notes in Computational Vision and Biomechanics). Epub 2017 Oct 13. doi: 10.1007/978-3-319-68195-5_113

Segmentation of infrared images using stereophotogrammetry

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