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» Level set image segmentation with Bayesian analysis
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166
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IPCV
2008
15 years 4 months ago
3D Brain Tumor Segmentation Using Level-Sets Method
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically...
Kamel Aloui, Mohamed Saber Naceur
145
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ICPR
2008
IEEE
15 years 9 months ago
A new global shape prior for level set based segmentation
The global shape prior knowledge has been exploited by many image segmentation approaches in order to improve segmentation results when there are such problems as occlusion, clutt...
Lei Zhang, Qiang Ji
IBPRIA
2003
Springer
15 years 8 months ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...
140
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...
ISBI
2004
IEEE
16 years 4 months ago
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradi...
Christian Barillot, Cybèle Ciofolo, Pierre ...