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» Level Set Based Image Segmentation with Multiple Regions
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TIP
2008
85views more  TIP 2008»
15 years 3 months ago
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation
This paper presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed ...
Jundi Ding, RuNing Ma, Songcan Chen
IJCV
2002
232views more  IJCV 2002»
15 years 2 months ago
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Daniel Cremers, Florian Tischhäuser, Joachim ...
TMI
2011
182views more  TMI 2011»
14 years 10 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
VLSM
2005
Springer
15 years 8 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
ICIAP
2003
ACM
16 years 3 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