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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Visually Significant Dynamics for Watershed Segmentation
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Joan Climent, Alberto Sanfeliu, "Visually Significant Dynamics for Watershed Segmentation," Pattern Recognition, International Conference on, vol. 2, pp. 341-344, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1182,
author = {Joan Climent and Alberto Sanfeliu},
title = {Visually Significant Dynamics for Watershed Segmentation},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {341-344},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1182},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Visually Significant Dynamics for Watershed Segmentation
SN - 1051-4651
SP341
EP344
A1 - Joan Climent,
A1 - Alberto Sanfeliu,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Joan Climent, Technical University of Catalonia, U.P.C
Alberto Sanfeliu, Technical University of Catalonia, U.P.C

The watershed transform is a powerful tool for segmentation once we can deal with oversegmentation. To solve the oversegmentation problem, hierarchical approaches are considered in order to retain the most significant regions of the image at different scales. The dynamics of the regional minima have been used to build this hierarchy.

In this paper we present a new measure for computing the dynamics of the minima based on human perception of shapes. The described technique solves the major drawbacks of the hierarchical segmentations based on contrast dynamics or volume dynamics.

Citation:
Joan Climent, Alberto Sanfeliu, "Visually Significant Dynamics for Watershed Segmentation," icpr, vol. 2, pp.341-344, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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