Improved object segmentation technique in digital fringe projection

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

1 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 2018 13th World Congress on Intelligent Control and Automation
PublisherIEEE
Pages290-295
ISBN (Electronic)978-1-5386-7346-1
Publication statusPublished - Jul 2018

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2018-July

Conference

Title2018 13th World Congress on Intelligent Control and Automation (WCICA 2018)
PlaceChina
CityChangsa
Period4 - 8 July 2018

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.

Research Area(s)

  • Coding image, Digital fringe projection, Histogram analysis, Modulation, Segmentation

Citation Format(s)

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: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review