270 search results - page 6 / 54 » Graph Cuts and Efficient N-D Image Segmentation |
96
Voted
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
MICCAI
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Graph Cuts have been shown as a powerful interactive segmentation technique in several medical domains. We propose to automate the Graph Cuts in order to automatically se...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
114
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Graph cuts have proven to be powerful tools in image segmentation. Previous graph cut research has proposed methods for cutting across large graphs constructed from multiple layer...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...