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» Level set image segmentation with Bayesian analysis
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IJCV
2006
205views more  IJCV 2006»
15 years 3 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
127
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ISBI
2004
IEEE
16 years 4 months ago
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
Yonggang Shi, William Clement Karl
IJAR
2006
197views more  IJAR 2006»
15 years 3 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
HLK
2003
IEEE
15 years 8 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
AI
2006
Springer
15 years 3 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth