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Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Anthony J. Campillo
  • Vol. 32, Iss. 10 — May. 15, 2007
  • pp: 1229–1231

Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms

Conor P. McElhinney, John B. McDonald, Albertina Castro, Yann Frauel, Bahram Javidi, and Thomas J. Naughton  »View Author Affiliations


Optics Letters, Vol. 32, Issue 10, pp. 1229-1231 (2007)
http://dx.doi.org/10.1364/OL.32.001229


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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.

© 2007 Optical Society of America

OCIS Codes
(090.0090) Holography : Holography
(090.1760) Holography : Computer holography
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.6890) Image processing : Three-dimensional image processing

ToC Category:
Image Processing

History
Original Manuscript: January 2, 2007
Revised Manuscript: February 27, 2007
Manuscript Accepted: March 1, 2007
Published: April 17, 2007

Citation
Conor P. McElhinney, John B. McDonald, Albertina Castro, Yann Frauel, Bahram Javidi, and Thomas J. Naughton, "Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms," Opt. Lett. 32, 1229-1231 (2007)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-32-10-1229

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