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BibTeX
Iterative h‐minima‐based marker‐controlled watershed for cell nucleus segmentation
Cytometry. Part A, 2016-04, Vol.89 (4), p.338-349
Koyuncu, Can Fahrettin
Akhan, Ece
Ersahin, Tulin
Cetin‐Atalay, Rengul
Gunduz‐Demir, Cigdem
2016
Details
Autor(en) / Beteiligte
Koyuncu, Can Fahrettin
Akhan, Ece
Ersahin, Tulin
Cetin‐Atalay, Rengul
Gunduz‐Demir, Cigdem
Titel
Iterative h‐minima‐based marker‐controlled watershed for cell nucleus segmentation
Ist Teil von
Cytometry. Part A, 2016-04, Vol.89 (4), p.338-349
Ort / Verlag
United States
Erscheinungsjahr
2016
Link zum Volltext
Quelle
Wiley Online Library - AutoHoldings Journals
Beschreibungen/Notizen
Automated microscopy imaging systems facilitate high‐throughput screening in molecular cellular biology research. The first step of these systems is cell nucleus segmentation, which has a great impact on the success of the overall system. The marker‐controlled watershed is a technique commonly used by the previous studies for nucleus segmentation. These studies define their markers finding regional minima on the intensity/gradient and/or distance transform maps. They typically use the h‐minima transform beforehand to suppress noise on these maps. The selection of the h value is critical; unnecessarily small values do not sufficiently suppress the noise, resulting in false and oversegmented markers, and unnecessarily large ones suppress too many pixels, causing missing and undersegmented markers. Because cell nuclei show different characteristics within an image, the same h value may not work to define correct markers for all the nuclei. To address this issue, in this work, we propose a new watershed algorithm that iteratively identifies its markers, considering a set of different h values. In each iteration, the proposed algorithm defines a set of candidates using a particular h value and selects the markers from those candidates provided that they fulfill the size requirement. Working with widefield fluorescence microscopy images, our experiments reveal that the use of multiple h values in our iterative algorithm leads to better segmentation results, compared to its counterparts. © 2016 International Society for Advancement of Cytometry
Sprache
Englisch
Identifikatoren
ISSN: 1552-4922
eISSN: 1552-4930
DOI: 10.1002/cyto.a.22824
Titel-ID: cdi_proquest_miscellaneous_1787980178
Format
–
Schlagworte
Algorithms
,
Biomarkers - analysis
,
Cell Line
,
Cell Nucleus
,
fluorescence microscopy imaging
,
Humans
,
h‐minima transform
,
Image Enhancement - methods
,
Image Processing, Computer-Assisted - methods
,
nucleus segmentation
,
Pattern Recognition, Automated - methods
,
watershed
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