NDLI: CHEF: convex hull of elliptic features for 3D blob detection

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CHEF: convex hull of elliptic features for 3D blob detection

Content Provider	IEEE Xplore Digital Library
Author	Qing Yang Parvin, B.
Copyright Year	2002
Description	Author affiliation: Comput. Sci., Lawrence Berkeley Nat. Lab., CA, USA (Qing Yang; Parvin, B.)
Abstract	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 was applied to a database of multicellular systems for detailed quantitative analysis.
Starting Page	282
Ending Page	285
File Size	265782
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laboratories Protocols Spatial databases Large-scale systems Neoplasms Magnetic resonance imaging Computed tomography Cells (biology) Image analysis Biomedical imaging
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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