DocumentCode :
3127483
Title :
A level line selection approach for object boundary estimation
Author :
Kervrann, Charles ; Hoebeke, Mark ; Trubuil, Alain
Author_Institution :
INRA, Jouy-en-Josas, France
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
963
Abstract :
An energy model based approach for estimating object boundaries is presented. We study a particular energy whose minimizer can be determined. The method estimates the unknown number of objects and draws object boundaries by selecting the “best” level lines computed from level sets of the original image. Unlike previous standard methods, the proposed method does not require iteration for minimizing the energy. In addition, our segmentation algorithm combines anisotropic diffusion based regularization with level line selection to extract smooth object boundaries. Experimental results on 2D biomedical and meteorological images are reported
Keywords :
edge detection; image segmentation; minimisation; 2D biomedical images; anisotropic diffusion based regularization; best level lines; energy model based approach; level line selection; level line selection approach; meteorological images; object boundary estimation; segmentation algorithm; smooth object boundary extraction; Active contours; Detectors; Electrical capacitance tomography; Energy capture; Face detection; Filtering; Image edge detection; Image segmentation; Optimization methods; Read only memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
Type :
conf
DOI :
10.1109/ICCV.1999.790352
Filename :
790352
Link To Document :
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