Automatic threshold selection for valid points detection 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
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 IEEE International Conference on Information and Automation (ICIA) |
| Publisher | IEEE |
| Pages | 195-200 |
| ISBN (Electronic) | 978-1-5386-3154-6 |
| Publication status | Published - Jul 2017 |
Conference
| Title | 2017 IEEE International Conference on Information and Automation, ICIA 2017 |
|---|---|
| Place | China |
| City | Macau |
| Period | 18 - 20 July 2017 |
Link(s)
Abstract
In digital fringe projection (DFP) techniques, invalid points such as shadows and background cause ambiguity to the measurement. Manually segmenting the object and invalid points is time-wasting, and the improper selection of threshold makes errors in the measurement. In this paper, we propose an automatic threshold selection technique based on both modulation histogram and intensity histogram, which can segment the object from a complex background without losing useful information. The feasibility of this method is verified by experiments on binary defocusing technique at different defocus levels.
Research Area(s)
- binary defocusing, coding map, Digital fringe projection, modulation histogram, segmentation
Citation Format(s)
Automatic threshold selection for valid points detection in digital fringe projection. / Xiao, Yi; Li, Youfu; Su, Dan.
Proceedings of the 2017 IEEE International Conference on Information and Automation (ICIA). IEEE, 2017. p. 195-200 8078905.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
