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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
CHEF: Convex Hull of Elliptic Features for 3D Blob Detection
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Qing Yang, Bahram Parvin, "CHEF: Convex Hull of Elliptic Features for 3D Blob Detection," Pattern Recognition, International Conference on, vol. 2, pp. 20282, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048295,
author = {Qing Yang and Bahram Parvin},
title = {CHEF: Convex Hull of Elliptic Features for 3D Blob Detection},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2002},
issn = {1051-4651},
pages = {20282},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048295},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - CHEF: Convex Hull of Elliptic Features for 3D Blob Detection
SN - 1051-4651
SP
EP
A1 - Qing Yang,
A1 - Bahram Parvin,
PY - 2002
KW - Convex hull
KW - blob detection
KW - cell segmentation
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Qing Yang, Lawrence Berkeley National Laboratory
Bahram Parvin, Lawrence Berkeley National Laboratory
We present an efficient protocol for robust detection of 3D blobs from volumetric datasets. The approach has three steps. The first step of the process detects elliptic features by classifying the Hessian of the scale space representation of the volume data. These features are then grouped into 3D connected components, which are subsequently partitioned by computing a convex hull of each connected component. The proposed framework has been applied to a database of multicellular systems for detailed quantitative analysis.
Index Terms:
Convex hull, blob detection, cell segmentation
Citation:
Qing Yang, Bahram Parvin, "CHEF: Convex Hull of Elliptic Features for 3D Blob Detection," icpr, vol. 2, pp.20282, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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