Sciweavers

158 search results - page 1 / 32
» Spatially Coherent Clustering Using Graph Cuts
Sort
View
CVPR
2004
IEEE
15 years 11 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
MICCAI
2004
Springer
15 years 10 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
PAMI
2010
396views more  PAMI 2010»
14 years 8 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
102
Voted
ICCV
2011
IEEE
13 years 9 months ago
Recursive MDL via Graph Cuts: Application to Segmentation
We propose a novel patch-based image representation that is useful because it (1) inherently detects regions with repetitive structure at multiple scales and (2) yields a paramete...
Lena Gorelick, Andrew Delong, Olga Veksler, Yuri B...
DICTA
2003
14 years 11 months ago
Two-Level Image Segmentation Based on Region and Edge Integration
Abstract. This paper introduces a two-level approach for image segmentation based on region and edge integration. Edges are first detected in the original image using a combinatio...
Qing Wu, Yizhou Yu