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From partial derivatives of 3-D density images to ridge lines
Monga, O.   Benayoun, S.   Faugeras, O.D.  
INRIA, Le Chesnay;

This paper appears in: Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Publication Date: 15-18 Jun 1992
On page(s): 354-359
Meeting Date: 06/15/1992 - 06/18/1992
Location: Champaign, IL, USA
ISBN: 0-8186-2855-3
References Cited: 16
INSPEC Accession Number: 4399858
Digital Object Identifier: 10.1109/CVPR.1992.223165
Current Version Published: 2002-08-06

Abstract
Three-dimensional edge detection in voxel images is used to locate points corresponding to surfaces of 3-D structures, and the local geometry of these surfaces is characterized in order to extract points or lines which may be used by registration and tracking procedures. Typically, second-order differential characteristics of the surfaces must be calculated. To avoid the problem of establishing links between 3-D edge detection and local surface approximation it is proposed to compute the curvatures at locations designated as edge points, using the partial derivatives of the image directly. By assuming that the surface is defined locally by an iso-intensity-contour, it is possible to calculate directly the curvatures and characterize the local curvature extrema (ridge points) from the first, second, and third derivatives of the gray-level function. These partial derivatives can be computed using the operators of the edge detection. Experimental results obtained using real X-ray scanner data are presented

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