PROCEEDINGS IPMU '08
Fuzzy Bio-Image Segmentation with Spatial Covariance
Tuan D. Pham
Image segmentation is an important
research area in image analysis and
its applications to medical and biological
imaging. In particular, effective
segmentation methods play an
essential role in the analysis, classification,
and quantification of bioimages
for prognosis and preventive
treatment. Different segmentation
methods based on different criteria
of optimality often give different
results. This paper introduces
a new strategy for modeling image
spatial information in the setting of
the fuzzy c-means algorithm for segmenting
bio-images that are inherently
fuzzy. The experimental results
have shown the superior performance
of the new method over some
popular models for the segmentation
of cell puncta.
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