DocumentCode :
1116988
Title :
A Three-Dimensional Edge Operator
Author :
Zucker, Steven W. ; Hummel, Robert A.
Author_Institution :
Computer Vision and Graphics Laboratory, Department of Electrical Engineering, McGill University, Montreal, P.Q., Canada.
Issue :
3
fYear :
1981
fDate :
5/1/1981 12:00:00 AM
Firstpage :
324
Lastpage :
331
Abstract :
Modern scanning techniques, such as computed tomography, have begun to produce true three-dimensional imagery of internal structures. The first stage in finding structure in these images, like that for standard two-dimensional images, is to evaluate a local edge operator over the image. If an edge segment in two dimensions is modeled as an oriented unit line segment that separates unit squares (i.e., pixels) of different intensities, then a three-dimensional edge segment is an oriented unit plane that separates unit volumes (i.e., voxels) of different intensities. In this correspondence we derive an operator that finds the best oriented plane at each point in the image. This operator, which is based directly on the 3-D problem, complements other approaches that are either interactive or heuristic extensions of 2-D techniques.
Keywords :
Biomedical imaging; Computed tomography; Computer vision; Image edge detection; Image reconstruction; Image segmentation; Medical diagnostic imaging; Noninvasive treatment; Optical imaging; X-ray imaging; Computerized tomography (CT); edge detection; feature detection; three-dimensional edge operators; three-dimensional modeling;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1981.4767105
Filename :
4767105
Link To Document :
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