DocumentCode :
1486737
Title :
Geodesic saliency of watershed contours and hierarchical segmentation
Author :
Najman, Laurent ; Schmitt, Michel
Author_Institution :
ArSciMed, Paris, France
Volume :
18
Issue :
12
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
1163
Lastpage :
1173
Abstract :
The watershed is one of the latest segmentation tools developed in mathematical morphology. In order to prevent its oversegmentation, the notion of dynamics of a minimum, based on geodesic reconstruction, has been proposed. In this paper, we extend the notion of dynamics to the contour arcs. This notion acts as a measure of the saliency of the contour. Contrary to the dynamics of minima, our concept reflects the extension and shape of the corresponding object in the image. This representation is also much more natural, because it is expressed in terms of partitions of the plane, i.e., segmentations. A hierarchical segmentation process is then derived, which gives a compact description of the image, containing all the segmentations one can obtain by the notion of dynamics, by means of a simple thresholding. Finally, efficient algorithms for computing the geodesic reconstruction as well as the dynamics of contours are presented
Keywords :
image reconstruction; image segmentation; mathematical morphology; contour arcs; geodesic reconstruction; geodesic saliency; hierarchical segmentation; mathematical morphology; segmentation tools; watershed contours; Geophysics computing; Hysteresis; Image analysis; Image reconstruction; Image segmentation; Level measurement; Morphology; Noise reduction; Partitioning algorithms; Shape;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.546254
Filename :
546254
Link To Document :
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