McElhinney, Conor P. and McDonald, John and Castro, Albertina and Frauel, Yann and 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:	https://doi.org/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)
URI:	http://ieeexplore.ieee.org
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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