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» A Segmentation Algorithm for Noisy Images
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138
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CVPR
2009
IEEE
16 years 10 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)
92
Voted
ICIP
2005
IEEE
16 years 5 months ago
A modified FCM with optimal Peano scans for image segmentation
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature ...
Adel Hafiane, Bertrand Zavidovique, Subhasis Chaud...
307
Voted
PAMI
2010
396views more  PAMI 2010»
15 years 1 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
111
Voted
ACSC
2007
IEEE
15 years 7 months ago
Segmentation and Border Identification of Cells in Images of Peripheral Blood Smear Slides
We present an unsupervised blood cell segmentation algorithm for images taken from peripheral blood smear slides. Unlike prior algorithms the method is fast; fully automated; find...
Nicola Ritter, James R. Cooper
136
Voted
ICIP
2004
IEEE
16 years 5 months ago
Progressive polygon encoding of segmentation maps
A new method for the lossy compression of segmentation maps is presented. In the first stage of the proposed algorithm, region boundary segments are coded, providing a coarse poly...
Marc Servais, Theodore Vlachos, Thomas Davies