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PPSN
2000
Springer
8 years 11 months ago
Competitive Segmentation: A Struggle for Image Space
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
CVPR
2003
IEEE
9 years 17 days ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
WACV
2005
IEEE
9 years 26 days ago
Measures of Similarity
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little att...
Ranjith Unnikrishnan, Martial Hebert
MICCAI
2005
Springer
9 years 8 months ago
Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI
In this paper, we present a novel variational formulation of the registration assisted image segmentation problem which leads to solving a coupled set of nonlinear PDEs that are so...
Fei Wang, Baba C. Vemuri
ICPR
2000
IEEE
9 years 8 months ago
A Concurrent Region Growing Algorithm Guided by Circumscribed Contours
Image segmentation of natural scenes constitutes a major problem in Machine Vision. This paper presents a new proposal for the image segmentation problem which has been based on t...
Xavier Cufí, Xavier Muñoz, Jordi Fre...
ICIP
2003
IEEE
9 years 9 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
ICIP
2006
IEEE
9 years 9 months ago
Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...
Mala L. Radhakrishnan, Sara L. Su
CVPR
2007
IEEE
9 years 9 months ago
Learning to Detect A Salient Object
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...
Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heu...
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