Sciweavers

Share
CORR
2008
Springer

Statistical region-based active contours with exponential family observations

8 years 10 months ago
Statistical region-based active contours with exponential family observations
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric family (e.g. exponential) rather than confining ourselves to the special Gaussian case. Using shape derivation tools, our effort focuses on constructing a general expression for the derivative of the energy (with respect to a domain) and derive the corresponding evolution speed. A general result is stated within the framework of multi-parameter exponential family. More particularly, when using Maximum Likelihood estimators, the evolution speed has a closed-form expression that depends simply on the probability density function, while complicating additive terms appear when using other estimators, e.g. moments method. Experimental results on both synthesized and real images demonstrate the applicability of our approach.
François Lecellier, Stéphanie Jehan-
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
Comments (0)
books