Share and Export
Share and Export
McElhinney, Conor P., McDonald, John, Castro, Albertina, Frauel, Yann, Javidi, Bahram and Naughton, Thomas J. (2007) Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms. Optics Letters, 32 (10). pp. 1229-1231. ISSN 0146-9592
Preview
JM-Depth-2007.pdf
Download (187kB) | Preview
Abstract
We present a technique for performing segmentation of macroscopic three-dimensional objects recorded using in-line digital holography. We numerically reconstruct a single perspective of each object at a range of depths. At each point in the digital wavefront we calculate variance about a neighborhood. The maximum variance at each point over all depths is thresholded to classify it as an object pixel or a background pixel. Segmentation results for objects of low and high contrast are presented.
| Item Type: | Article |
|---|---|
| Keywords: | Depth-independent segmentation; macroscopic three-dimensional objects; single perspectives; digital holograms; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 8281 |
| Identification Number: | 10.1364/OL.32.001229 |
| Depositing User: | John McDonald |
| Date Deposited: | 02 Jun 2017 16:32 |
| Journal or Publication Title: | Optics Letters |
| Publisher: | Optical Society of America |
| Refereed: | Yes |
| Funders: | Science Foundation Ireland, Enterprise Ireland, Irish Research Council for Science Engineering and Technology (IRCSET) |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/8281 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
- Item control page
Downloads
Downloads per month over past year
