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Journal of Biomedical Optics • Open Access

Extraction of target specimens from bioholographic images using interactive graph cuts
Author(s): Faliu Yi; Inkyu Moon; Yeon H. Lee

Paper 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.

Paper Details

Date Published: 18 December 2013
PDF: 12 pages
J. Biomed. Opt. 18(12) 126015 doi: 10.1117/1.JBO.18.12.126015
Published in: Journal of Biomedical Optics Volume 18, Issue 12
Show Author Affiliations
Faliu Yi, Chosun Univ. (Korea, Republic of)
Inkyu Moon, Chosun Univ. (Korea, Republic of)
Yeon H. Lee, Sungkyunkwan Univ. (Korea, Republic of)

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