DocumentCode :
398505
Title :
Smoothing B-spline active contour for fast and robust image and video segmentation
Author :
Precioso, F. ; Barlaud, Michel ; Blu, T. ; Unser, M.
Author_Institution :
Nice Univ., France
Volume :
1
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
This paper deals with fast image and video segmentation using active contours. Region based active contours using level-sets are powerful techniques for video segmentation hut they suffer from large computational cost. A parametric active contour method based on B-Spline interpolation has been proposed in F. Precioso (2002) to highly reduce the computational cost but this method is sensitive to noise. Here, we choose to relax the rigid interpolation constraint in order to robustify our method in the presence of noise: by using smoothing splines, we trade a tunable amount of interpolation error for a smoother spline curve. We show by experiments on natural sequences that this new flexibility yields segmentation results of higher quality at no additional computational cost. Hence real time processing for moving objects segmentation is preserved.
Keywords :
image segmentation; splines (mathematics); image segmentation; interpolation error; moving objects segmentation; real time processing; smoothing B-spline active contour; video segmentation; Active contours; Active noise reduction; Biomedical imaging; Computational efficiency; Image segmentation; Interpolation; OFDM modulation; Robustness; Smoothing methods; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1246917
Filename :
1246917
Link To Document :
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