3367 search results - page 181 / 674 » Image Segmentation By Learning Approach |
136
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MICCAI
2009
Springer
16 years 7 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
178
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IPPS
1996
IEEE
15 years 10 months ago
1996
IEEE
This paper presents e cient and portable implementations of a useful image enhancement process, the Symmetric Neighborhood Filter SNF, and an image segmentation technique which ma...
174
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MICCAI
2005
Springer
2005
Springer
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
16 years 7 months ago
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
144
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IJISTA
2008
15 years 6 months ago
2008
: Planar patch detection aims at simplifying data from 3-D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-C...
273
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IJCV
2012
13 years 8 months ago
2012
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF m...