TY - GEN
T1 - Size-invariant cell nucleus segmentation in 3-D microscopy
AU - Ram, Sundaresh
AU - Rodríguez, Jeffrey J.
AU - Bosco, Giovanni
PY - 2012
Y1 - 2012
N2 - Accurate segmentation of 3-D cell nuclei in microscopy images is an essential task in many biological studies. Traditional image segmentation methods are challenged by the complexity and variability of microscope images, so there is a need to improve segmentation accuracy and reliability, as well as the level of automation. In this paper we present a novel automated algorithm for robust segmentation of 3-D cell nuclei using a combination of ideas. Our algorithm includes the following steps: image denoising, binarization, seed detection using the fast radial symmetric transform (FRST), initial segmentation using the random walker algorithm and the 3-D watershed algorithm, and final refinements using 3-D active contours. We show that our algorithm provides improved accuracy compared to existing segmentation algorithms.
AB - Accurate segmentation of 3-D cell nuclei in microscopy images is an essential task in many biological studies. Traditional image segmentation methods are challenged by the complexity and variability of microscope images, so there is a need to improve segmentation accuracy and reliability, as well as the level of automation. In this paper we present a novel automated algorithm for robust segmentation of 3-D cell nuclei using a combination of ideas. Our algorithm includes the following steps: image denoising, binarization, seed detection using the fast radial symmetric transform (FRST), initial segmentation using the random walker algorithm and the 3-D watershed algorithm, and final refinements using 3-D active contours. We show that our algorithm provides improved accuracy compared to existing segmentation algorithms.
KW - Active contours
KW - random walker algorithm
KW - watershed algorithm
UR - http://www.scopus.com/inward/record.url?scp=84862854860&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862854860&partnerID=8YFLogxK
U2 - 10.1109/SSIAI.2012.6202447
DO - 10.1109/SSIAI.2012.6202447
M3 - Conference contribution
AN - SCOPUS:84862854860
SN - 9781467318303
T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
SP - 37
EP - 40
BT - 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
T2 - 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
Y2 - 22 April 2012 through 24 April 2012
ER -