DocumentCode
1152707
Title
Segmentation and Estimation of Image Region Properties through Cooperative Hierarchial Computation
Author
Burt, Peter J. ; Hong, Tsai-Hong ; Rosenfeld, Azriel
Volume
11
Issue
12
fYear
1981
Firstpage
802
Lastpage
809
Abstract
The task of segmenting an image and that of estimating properties of image regions may be highly interdependent. The goal of segmentation is to partition the image into regions with more or less homogeneous properties; but the processes which estimate these properties should be confined within individual regions. A cooperative, iterative approach to segmentation and property estimation is defined; the results of each process at a given iteration are used to adjust the other process at the next iteration. A linked pyramid structure provides a framework for this process iteration. This hierarchical structure ensures rapid convergence even with strictly local communication between pyramid nodes.
Keywords
Computer science; Computer vision; Convergence; Image resolution; Image segmentation; Image texture analysis; Iterative methods; Laboratories; Statistics; Systems engineering and theory;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1981.4308619
Filename
4308619
Link To Document