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PAMI
2007
155views more  PAMI 2007»
14 years 9 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
80
Voted
MICCAI
2000
Springer
15 years 1 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos
ICCV
1999
IEEE
15 years 11 months ago
Segmentation of Salient Closed Contours from Real Images
Using a saliency measure based on the global property of contour closure, we have developed a method that reliably segments out salient contours bounding unknown objects from real...
Shyjan Mahamud, Karvel K. Thornber, Lance R. Willi...
ISBI
2004
IEEE
15 years 10 months ago
Cardiac MR Image Segmentation: Quality Assessment of STACS
We present an energy based automatic image segmentation algorithm that uses a novel active contour scheme, called the stochastic active contour scheme (STACS). The algorithm overc...
Charnchai Pluempitiwiriyawej, Chien Ho, José...
IWCIA
2009
Springer
15 years 4 months ago
Sub-pixel Segmentation with the Image Foresting Transform
The Image Foresting Transform (IFT) is a framework for image partitioning, commonly used for interactive segmentation. Given an image where a subset of the image elements (seed-poi...
Filip Malmberg, Joakim Lindblad, Ingela Nyströ...