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 :
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