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

Molony, Karen M. and Ryle, James P. and McDonnell, Susan and Sheridan, John T. and Naughton, Thomas J. (2009) Segmentation and visualization of digital in-line holographic microscopy of three-dimensional scenes using reconstructed intensity images. Proceedings of SPIE, 7443 (74431F). pp. 1-10. ISSN 0277-786X

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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.

Item Type: Article
Additional Information: Copyright 2009 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. We thank the Irish Research Council for Science, Engineering and Technology, Enterprise Ireland and Science Foundation Ireland, under the National Development Plan for funding this research. The authors wish to thank SPIE for supporting conference attendance through the Student Chapter Travelling Officer Grant programme.
Keywords: Segmentation; visualization; digital in-line holographic microscopy; three-dimensional scenes; reconstructed intensity images;
Subjects: Science & Engineering > Computer Science
Item ID: 2494
Identification Number: DOI: 10.1117/12.826832
Depositing User: Dr. Thomas Naughton
Date Deposited: 13 Apr 2011 15:47
Journal or Publication Title: Proceedings of SPIE
Publisher: SPIE (Society of Photo-optical Instrumentation Engineers)
Refereed: Yes
URI:

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