DocumentCode :
2173688
Title :
Shape gradients for histogram segmentation using active contours
Author :
Jehan-Besson, Stephanie ; Barlaud, Michel ; Aubert, Gilles ; Faugeras, Olivier
Author_Institution :
Lab. I3S, CNRS-UNSA, Sophia Antipolis, France
fYear :
2003
fDate :
13-16 Oct. 2003
Firstpage :
408
Abstract :
We consider the problem of image segmentation using active contours through the minimization of an energy criterion involving both region and boundary functionals. These functionals are derived through a shape derivative approach instead of classical calculus of variation. The equations can be elegantly derived without converting the region integrals into boundary integrals. From the derivative, we deduce the evolution equation of an active contour that makes it evolve towards a minimum of the criterion. We focus more particularly on statistical features globally attached to the region and especially to the probability density functions of image features such as the color histogram of a region. A theoretical framework is set for the minimization of the distance between two histograms for matching or tracking purposes. An application of this framework to the segmentation of color histograms in video sequences is then proposed. We briefly describe our numerical scheme and show some experimental results.
Keywords :
boundary integral equations; gradient methods; image segmentation; image sequences; minimisation; partial differential equations; active contours; boundary functionals; boundary integrals; color histogram; histogram segmentation; image segmentation; minimization; probability density function; region functionals; shape gradient method; video sequences; Active contours; Calculus; Computer vision; Histograms; Image converters; Image segmentation; Integral equations; Partial differential equations; Shape; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
Type :
conf
DOI :
10.1109/ICCV.2003.1238375
Filename :
1238375
Link To Document :
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