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CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 2 months ago
Detection and Demarcation of Tumor using Vector Quantization in MRI images
Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast canc...
H. B. Kekre, Tanuja K. Sarode, Saylee M. Gharge
107
Voted
CVPR
2008
IEEE
15 years 9 months ago
Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Nuno Pinho da Silva, João Paulo Costeira
128
Voted
ICIP
2009
IEEE
16 years 3 months ago
Shape Prior Criterion Based On Tchebichef Moments In Variational Region Growing
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the e...
ICIAP
2001
Springer
16 years 2 months ago
Remote Sensed Images Segmentation through Shape Refinement
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of i...
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,...
109
Voted
ICIAP
2003
ACM
16 years 2 months ago
Automatic segmentation of MR images based on adaptive anisotropic filtering
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino