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McElhinney, Conor P., McDonald, John, Castro, Albertina, Frauel, Yann, Javidi, Bahram and Naughton, Thomas J. (2007) Segmentation of three-dimensional objects from background in digital holograms. In: IMVIP 2007. International Machine Vision and Image Processing Conference, 2007. IEEE, pp. 41-46. ISBN 0769528872
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Abstract
We present a technique for performing segmentation of three-dimensional, objects encoded using in-line digital holography from the scenes background. We create a volume of reconstructions through numerically reconstructing a digital hologram at a range of depths. For each reconstruction a variance map is created through calculating variance about a neighbourhood for each of the reconstructions pixels. We can then classify a pixel as object or background by thresholding the maximum variance of every pixel over all depths. We present segmentation results for objects of low and high contrast.
| Item Type: | Book Section |
|---|---|
| Keywords: | three-dimensional image processing; digital holography; segmentation; focus detection; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 8346 |
| Identification Number: | 10.1109/IMVIP.2007.40 |
| Depositing User: | John McDonald |
| Date Deposited: | 16 Jun 2017 11:06 |
| Publisher: | IEEE |
| 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/8346 |
| 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 |
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