McElhinney, Conor P. and McDonald, John and Castro, Albertina and Frauel, Yann and 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

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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:	https://doi.org/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)
URI:	https://www.osapublishing.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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