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112
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PAMI
2007
155views more  PAMI 2007»
14 years 12 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...
MICCAI
2000
Springer
15 years 4 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
16 years 2 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...
114
Voted
ISBI
2004
IEEE
16 years 1 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...
83
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IWCIA
2009
Springer
15 years 7 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...