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A K-means segmentation method for finding 2-D object areas based on 3-D image stacks obtained by confocal microscopy.

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  • 1Institute for Systems Biology, Seattle, Washington, USA.

Abstract

A segmentation method for three-dimensional image stacks obtained by confocal microscopy is proposed. The method can be used to find two-dimensional object areas based on an image stack. The segmentation method is based on K-means clustering, global thresholding, and mathematical morphology. As a case study, the proposed method is applied to 244 image stacks of the yeast Saccharomyces cerevisiae. Quantitative comparisons with manually obtained results as well as with results obtained by a two-dimensional segmentation method are used to illustrate how the additional information provided by three-dimensional image stacks can improve segmentation results.

PMID:
18003272
DOI:
10.1109/IEMBS.2007.4353606
[PubMed - indexed for MEDLINE]
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