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Proceedings Paper

Boundary fitting based segmentation of fluorescence microscopy images
Author(s): Soonam Lee; Paul Salama; Kenneth W. Dunn; Edward J. Delp III
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Paper Abstract

Segmentation is a fundamental step in quantifying characteristics, such as volume, shape, and orientation of cells and/or tissue. However, quantification of these characteristics still poses a challenge due to the unique properties of microscopy volumes. This paper proposes a 2D segmentation method that utilizes a combination of adaptive and global thresholding, potentials, z direction refinement, branch pruning, end point matching, and boundary fitting methods to delineate tubular objects in microscopy volumes. Experimental results demonstrate that the proposed method achieves better performance than an active contours based scheme.

Paper Details

Date Published: 6 March 2015
PDF: 10 pages
Proc. SPIE 9408, Imaging and Multimedia Analytics in a Web and Mobile World 2015, 940805 (6 March 2015); doi: 10.1117/12.2085417
Show Author Affiliations
Soonam Lee, Purdue Univ. (United States)
Paul Salama, Indiana Univ. (United States)
Kenneth W. Dunn, Indiana Univ. (United States)
Edward J. Delp III, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 9408:
Imaging and Multimedia Analytics in a Web and Mobile World 2015
Qian Lin; Jan P. Allebach; Zhigang Fan, Editor(s)

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