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