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ICPR
2008
IEEE
14 years 4 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
MVA
1992
127views Computer Vision» more  MVA 1992»
13 years 11 months ago
A Parallel Topological Map for Image Segmentation
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...
Dinu Scheppelmann, Jochen Frey, Manuela Schäf...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 8 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
MICCAI
2002
Springer
14 years 11 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
CVPR
2003
IEEE
15 years 8 days ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox