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Proceedings Paper

Segmentation and visualization of digital in-line holographic microscopy of three-dimensional scenes using reconstructed intensity images
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Paper Abstract

This paper demonstrates a technique that could prove useful for extracting three-dimensional (3D) models from a single two-dimensional (2D) digital in-line holographic microscopy (DIHM) recording. Multiple intensity images are reconstructed at a range of depths through a transmissive or partially transmissive scene recorded by DIHM. A two step segmentation of each of these reconstructed intensity images facilitates the construction of a data set of surfaces in 3D. First an adaptive thresholding step and then a border following step are implemented. The surfaces of segmented features are rendered in 3D by applying the marching cubes algorithm to polygonize the data set. Experimental results for a real world DIHM capture of a transmissive glass sample are presented to demonstrate this segmentation and visualization process.

Paper Details

Date Published: 2 September 2009
PDF: 10 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431F (2 September 2009); doi: 10.1117/12.826832
Show Author Affiliations
Karen M. Molony, National Univ. of Ireland, Maynooth (Ireland)
James P. Ryle, Univ. College Dublin (Ireland)
Susan McDonnell, Univ. College Dublin (Ireland)
John T. Sheridan, Univ. College Dublin (Ireland)
Thomas J. Naughton, National Univ. of Ireland, Maynooth (Ireland)
Univ. of Oulu (Finland)

Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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