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CVPR
2006
IEEE
14 years 9 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
JSCIC
2010
231views more  JSCIC 2010»
13 years 2 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher
ISBI
2009
IEEE
14 years 2 months ago
Accurate and Fast 3D Colon Segmentation in CT Colonography
This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liq...
Dongqing Chen, Rachid Fahmi, Aly A. Farag, Robert ...
TITB
2008
109views more  TITB 2008»
13 years 7 months ago
Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....
IJCV
2006
262views more  IJCV 2006»
13 years 7 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...