Sciweavers

70 search results - page 7 / 14
» A New Energy Function for Segmentation and Compression
Sort
View
DAGM
2010
Springer
13 years 8 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
PAMI
2010
396views more  PAMI 2010»
13 years 5 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
EMMCVPR
2003
Springer
14 years 17 days ago
using Prior Shape and Points in Medical Image Segmentation
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
Yunmei Chen, Weihong Guo, Feng Huang, David Cliffo...
ICIP
1994
IEEE
13 years 11 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill
ICASSP
2010
IEEE
13 years 7 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger