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18 December 2013 Extraction of target specimens from bioholographic images using interactive graph cuts
Faliu Yi, Inkyu Moon, Yeon H. Lee
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Journal of Biomedical Optics, Vol. 18, Issue 12, 126015 (December 2013). https://doi.org/10.1117/1.JBO.18.12.126015
Abstract
It is necessary to extract target specimens from bioholographic images for high-level analysis such as object identification, recognition, and tracking with the advent of application of digital holographic microscopy to transparent or semi-transparent biological specimens. We present an interactive graph cuts approach to segment the needed target specimens in the reconstructed bioholographic images. This method combines both regional and boundary information and is robust to extract targets with weak boundaries. Moreover, this technique can achieve globally optimal results while minimizing an energy function. We provide a convenient user interface, which can easily differentiate the foreground/background for various types of holographic images, as well as a dynamically modified coefficient, which specifies the importance of the regional and boundary information. The extracted results from our scheme have been compared with those from an advanced level-set-based segmentation method using an unbiased comparison algorithm. Experimental results show that this interactive graph cut technique can not only extract different kinds of target specimens in bioholographic images, but also yield good results when there are multiple similar objects in the holographic image or when the object boundaries are very weak.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Faliu Yi, Inkyu Moon, and Yeon H. Lee "Extraction of target specimens from bioholographic images using interactive graph cuts," Journal of Biomedical Optics 18(12), 126015 (18 December 2013). https://doi.org/10.1117/1.JBO.18.12.126015
Published: 18 December 2013
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation
Holograms
Holography
Digital holography
3D image processing
3D image reconstruction
Image processing algorithms and systems
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