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» Improved Snake Model for Fast Image Segmentation
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GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 4 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
92
Voted
ICPR
2008
IEEE
15 years 6 months ago
Retinal vessel tree segmentation using a deformable contour model
This paper presents an improved version of our specific methodology to detect the vessel tree in retinal angiographies. The automatic analysis of retinal vessel tree facilitates ...
Lucia Espona, María J. Carreira, Manuel Fra...
90
Voted
CVPR
1997
IEEE
15 years 4 months ago
Area and Length Minimizing Flows for Shape Segmentation
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Kaleem Siddiqi, Steven W. Zucker, Yves Béru...
SCALESPACE
1999
Springer
15 years 4 months ago
An Active Contour Model without Edges
In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and l...
Tony F. Chan, Luminita A. Vese
ICIP
2002
IEEE
16 years 2 months ago
Regular spatial B-spline active contour for fast video segmentation
This paper deals with fast video segmentation using active contours. Region-based active contours is a powerful technique for video segmentation. However most of these methods are...
Frédéric Precioso, Michel Barlaud