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IBPRIA
2007
Springer
15 years 6 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
MIRAGE
2007
Springer
15 years 6 months ago
Segmentation of Soft Shadows Based on a Daylight- and Penumbra Model
Abstract. This paper introduces a new concept within shadow segmentation for usage in shadow removal and augmentation through construction of an alpha overlay shadow model. Previou...
Michael Nielsen, Claus B. Madsen
MICCAI
2010
Springer
15 years 5 months ago
  A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...
A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...
CVPR
2010
IEEE
15 years 8 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
PRL
2006
117views more  PRL 2006»
14 years 11 months ago
Improving image segmentation quality through effective region merging using a hierarchical social metaheuristic
This paper proposes a new evolutionary region merging method in order to efficiently improve segmentation quality results. Our approach starts from an oversegmented image, which is...
Abraham Duarte, Miguel Ángel Sánchez...