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Proceedings Paper

Bio-holographic image segmentation by using interactive graph-cut
Author(s): Inkyu Moon; Faliu Yi
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Paper Abstract

Digital holographic microscopy has been studied for bio-applications. In order to analyze specimens in the holographic image, image segmentation as a preprocessing step is inevitable. The main energy-based segmentation includes snake, level-set and graph-cut. For the snake and level-set, initial curve is needed to be added by the user. However, for the different initial curves, different segmentation result will be obtained. Graph-cut based segmentation can obtain the global optimal result. Furthermore, graph-cut method utilizes both regional and edge information which can make the segmentation more reasonable. In this paper, in order to reduce the effect of the discontinuity of the object edge for the segmentation and ensure the segmentation result perfect, a few of user interferences are applied.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8498, Optics and Photonics for Information Processing VI, 849814 (15 October 2012); doi: 10.1117/12.929546
Show Author Affiliations
Inkyu Moon, Chosun Univ. (Korea, Republic of)
Faliu Yi, Chosun Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8498:
Optics and Photonics for Information Processing VI
Abdul A. S. Awwal; Khan M. Iftekharuddin, Editor(s)

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