NDLI: From voxel to curvature

Content Provider	IEEE Xplore Digital Library
Author	Monga, O. Ayache, N. Sander, P.
Copyright Year	1991
Description	Author affiliation: INRIA, Le Chesnay, France (Monga, O.; Ayache, N.)
Abstract	A theoretical link is established between the 3D edge detection and the local surface approximation using uncertainty. As a practical application of the theory, a method is presented for computing typical curvature features from 3D medical images. The authors determine the uncertainties inherent in edge (and surface) detection and 2D and 3D images by quantitatively analyzing the uncertainty in edge position, orientation, and magnitude produced by the multidimensional (2D and 3D) versions of the Monga-Deriche-Canny recursive separable edge-detector. The uncertainty is shown to depend on edge orientation, e.g. the position uncertainty may vary with a ratio larger than 2.8 in the 2D case, and 3.5 in the 3D case. These uncertainties are then used to compute local geometric models (quadric surface patches) of the surface, which are suitable for reliably estimating local surface characteristics, for example, Gaussian and mean curvature. The authors demonstrate the effectiveness of these methods compared to previous techniques.<>
Starting Page	644
Ending Page	649
File Size	620546
Page Count	6
File Format	PDF
ISBN	0818621486
ISSN	10636919
DOI	10.1109/CVPR.1991.139679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-06-03
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Uncertainty Surface fitting Solid modeling Magnetic resonance imaging Geometry Filters Filtering Robustness Feature extraction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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