Integrating region growing and edge detection
Pavlidis, T.
Liow, Y.-T.
Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY;
This paper appears in: Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Publication Date: 5-9 Jun 1988
On page(s): 208-214
Meeting Date: 06/05/1988 - 06/09/1988
Location: Ann Arbor, MI, USA
ISBN: 0-8186-0862-5
References Cited: 19
INSPEC Accession Number: 3258517
Digital Object Identifier: 10.1109/CVPR.1988.196238
Current Version Published: 2002-08-06
Abstract
The authors present a method that combines region growing and edge
detection for image segmentation. They start with a split-and-merge
algorithm where the parameters have been set up so that an oversegmented
image results. Then region boundaries are eliminated or modified on the
basis of criteria that integrate contrast with boundary smoothness,
variation of the image gradient along the boundary, and a criterion that
penalizes for the presence of artifacts reflecting the data structure
used during segmentation (quadtree, in this case)
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