Improved object segmentation technique in digital fringe projection

Yi Xiao; Youfu Li; Ming Liu

doi:10.1109/WCICA.2018.8630418

Improved object segmentation technique in digital fringe projection

Yi Xiao
, Youfu Li
, Ming Liu

CityUHK Shenzhen Research Institute

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Object segmentation from invalid points such as shadows and background is a key factor in digital fringe projection 3D shape measurement. Conventional methods for object segmentation based on modulation level normally work well in dark background, however, they lose accuracy with a variety of backgrounds. In this paper, we proposed two coding images and applied them in an improved framework for object segmentation. The shadows are detected from modulation histogram, and the background is detected from intensity histogram of the coding images. Experiments are designed on different background conditions for analyzing and verifying the segmentation performance of the proposed technique.

Original language	English
Title of host publication	Proceedings of the 2018 13th World Congress on Intelligent Control and Automation
Publisher	IEEE
Pages	290-295
ISBN (Electronic)	978-1-5386-7346-1
DOIs	https://doi.org/10.1109/WCICA.2018.8630418
Publication status	Published - Jul 2018
Event	2018 13th World Congress on Intelligent Control and Automation (WCICA 2018) - Changsa, China Duration: 4 Jul 2018 → 8 Jul 2018 http://robotics.sjtu.edu.cn/WCICA/

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2018-July

Conference

Conference	2018 13th World Congress on Intelligent Control and Automation (WCICA 2018)
Place	China
City	Changsa
Period	4/07/18 → 8/07/18
Internet address	http://robotics.sjtu.edu.cn/WCICA/

Research Keywords

Coding image
Digital fringe projection
Histogram analysis
Modulation
Segmentation

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10.1109/WCICA.2018.8630418

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@inproceedings{5d7fbccb6044496284417fb5e846d924,

title = "Improved object segmentation technique in digital fringe projection",

abstract = "Object segmentation from invalid points such as shadows and background is a key factor in digital fringe projection 3D shape measurement. Conventional methods for object segmentation based on modulation level normally work well in dark background, however, they lose accuracy with a variety of backgrounds. In this paper, we proposed two coding images and applied them in an improved framework for object segmentation. The shadows are detected from modulation histogram, and the background is detected from intensity histogram of the coding images. Experiments are designed on different background conditions for analyzing and verifying the segmentation performance of the proposed technique.",

keywords = "Coding image, Digital fringe projection, Histogram analysis, Modulation, Segmentation",

author = "Yi Xiao and Youfu Li and Ming Liu",

year = "2018",

month = jul,

doi = "10.1109/WCICA.2018.8630418",

language = "English",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

publisher = "IEEE",

pages = "290--295",

booktitle = "Proceedings of the 2018 13th World Congress on Intelligent Control and Automation",

address = "United States",

note = "2018 13th World Congress on Intelligent Control and Automation (WCICA 2018) ; Conference date: 04-07-2018 Through 08-07-2018",

url = "http://robotics.sjtu.edu.cn/WCICA/",

}

Xiao, Y , Li, Y & Liu, M 2018, Improved object segmentation technique in digital fringe projection. in Proceedings of the 2018 13th World Congress on Intelligent Control and Automation ., 8630418, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2018-July, IEEE, pp. 290-295, 2018 13th World Congress on Intelligent Control and Automation (WCICA 2018), Changsa, China, 4/07/18. https://doi.org/10.1109/WCICA.2018.8630418

Improved object segmentation technique in digital fringe projection. / Xiao, Yi ; Li, Youfu; Liu, Ming.
Proceedings of the 2018 13th World Congress on Intelligent Control and Automation . IEEE, 2018. p. 290-295 8630418 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Improved object segmentation technique in digital fringe projection

AU - Xiao, Yi

AU - Li, Youfu

AU - Liu, Ming

PY - 2018/7

Y1 - 2018/7

N2 - Object segmentation from invalid points such as shadows and background is a key factor in digital fringe projection 3D shape measurement. Conventional methods for object segmentation based on modulation level normally work well in dark background, however, they lose accuracy with a variety of backgrounds. In this paper, we proposed two coding images and applied them in an improved framework for object segmentation. The shadows are detected from modulation histogram, and the background is detected from intensity histogram of the coding images. Experiments are designed on different background conditions for analyzing and verifying the segmentation performance of the proposed technique.

AB - Object segmentation from invalid points such as shadows and background is a key factor in digital fringe projection 3D shape measurement. Conventional methods for object segmentation based on modulation level normally work well in dark background, however, they lose accuracy with a variety of backgrounds. In this paper, we proposed two coding images and applied them in an improved framework for object segmentation. The shadows are detected from modulation histogram, and the background is detected from intensity histogram of the coding images. Experiments are designed on different background conditions for analyzing and verifying the segmentation performance of the proposed technique.

KW - Coding image

KW - Digital fringe projection

KW - Histogram analysis

KW - Modulation

KW - Segmentation

UR - https://www.scopus.com/pages/publications/85062548903

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85062548903&origin=recordpage

U2 - 10.1109/WCICA.2018.8630418

DO - 10.1109/WCICA.2018.8630418

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 290

EP - 295

BT - Proceedings of the 2018 13th World Congress on Intelligent Control and Automation

PB - IEEE

T2 - 2018 13th World Congress on Intelligent Control and Automation (WCICA 2018)

Y2 - 4 July 2018 through 8 July 2018

ER -

Improved object segmentation technique in digital fringe projection

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Research Keywords

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