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ECCV
2004
Springer
16 years 8 months ago
Simultaneous Object Recognition and Segmentation by Image Exploration
Methods based on local, viewpoint invariant features have proven capable of recognizing objects in spite of viewpoint changes, occlusion and clutter. However, these approaches fail...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
SEDE
2008
15 years 8 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
JSW
2008
106views more  JSW 2008»
15 years 6 months ago
Hierarchical Image Segmentation by Structural Content
Image quality loss resulting from artifacts depends on the nature and strength of the artifacts as well as the context or background in which they occur. In order to include the im...
Nathir A. Rawashdeh, Shaun T. Love, Kevin D. Donoh...
SCALESPACE
1999
Springer
15 years 10 months ago
Multiscale Morphological Segmentations Based on Watershed, Flooding, and Eikonal PDE
The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a to...
Fernand Meyer, Petros Maragos
CVPR
2006
IEEE
16 years 8 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán