Boundary fitting based segmentation of fluorescence microscopy images
Soonam Lee, Paul Salama, Kenneth William Dunn, Edward J. Delp · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
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.