PAMI
2006
13 years 4 months ago
2006
In this paper we introduce new type of variational segmentation cost functions and associated active contour methods that are based on pairwise similarities or dissimilarities of t...
CVPR
2008
IEEE
13 years 4 months ago
2008
IEEE
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
CVPR
2005
IEEE
13 years 6 months ago
2005
IEEE
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
ICIP
1994
IEEE
13 years 8 months ago
1994
IEEE
Abstract. Numerical analysis of conservation laws plays an important role in the implementation of curve evolution equations. This paper reviews the relevant concepts in numerical ...
ISM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both grad...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
ICAPR
2009
Springer
13 years 11 months ago
2009
Springer
We propose a novel energy term to make the curve evolution quite robust to spurious edges. The physical intuition behind the formulation is that an object edge is generally contin...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
We investigate a method of segmentation of multichannel polarimetric images, such as in laser illuminated or synthetic aperture radar, into a given but arbitrary number of regions...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Parametric active contours have been used extensively in computer vision for different tasks like segmentation and tracking. However, all parametric contours are known to suffer f...