Segmentation of clustered nuclei with shape markers and marking function
Name
Cheng-2009-Segmentation of Clus.pdf
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724.31 KB
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Checksum (MD5)
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Author(s)
Rajapakse, Jagath
Cheng, Jierong
Date Issued
November 2009
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Citation
Jierong Cheng, and J.C. Rajapakse. “Segmentation of Clustered Nuclei With Shape Markers and Marking Function.” Biomedical Engineering, IEEE Transactions on 56.3 (2009): 741-748. © 2009 IEEE
Version
Final published version
Abstract
We present a method to separate clustered nuclei from fluorescence microscopy cellular images, using shape markers and marking function in a watershed-like algorithm. Shape markers are extracted using an adaptive H-minima transform. A marking function based on the outer distance transform is introduced to accurately separate clustered nuclei. With synthetic images, we quantitatively demonstrate the performance of our method and provide comparisons with existing approaches. On mouse neuronal and Drosophila cellular images, we achieved 6%-7% improvement of segmentation accuracies over earlier methods.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Article is made available in accordance with the publisher’s policy and may be subject to US copyright law. Please refer to the publisher’s site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1109/TBME.2008.2008635
