6 March 2015 Boundary fitting based segmentation of fluorescence microscopy images
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Soonam Lee, Soonam Lee, Paul Salama, Paul Salama, Kenneth W. Dunn, Kenneth W. Dunn, Edward J. Delp, Edward J. Delp, "Boundary fitting based segmentation of fluorescence microscopy images", Proc. SPIE 9408, Imaging and Multimedia Analytics in a Web and Mobile World 2015, 940805 (6 March 2015); doi: 10.1117/12.2085417; https://doi.org/10.1117/12.2085417

Back to Top