Three-dimensional image segmentation using a split, merge and group approach

Authors:
Karel C. Strasters;Jan J. Gerbrands
Affiliations:
Section Pattern Recognition, Dept. Physical Informatics, Fac. Applied Physics, University of Technology Delft, Netherlands and Section Molecular Cytology, Dept. Molecular Cell Biology, Fac. Biolog ...;-
Venue:
Pattern Recognition Letters
Year:
1991

Citing 7
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Abstract

A 3-D segmentation algorithm is presented, based on a split, merge and group approach. It uses a mixed (oct/quad)tree implementation. A number of homogeneity criteria is discussed and evaluated. An example shows the segmentation of mythramycin stained cell nuclei.