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CVPR
2007
IEEE
16 years 1 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris
CVPR
2011
IEEE
14 years 3 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
CEC
2008
IEEE
15 years 6 months ago
A new meta-method for graph partitioning
— In this paper, a new meta-method based on the physical nuclear process is presented. This meta-method called Fusion-Fission is applied to the two different class of graph parti...
Charles-Edmond Bichot
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
14 years 9 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
JMM2
2008
116views more  JMM2 2008»
14 years 11 months ago
Multi-Scale Criteria for the Evaluation of Image Segmentation Algorithms
Abstract-- This paper deals with evaluation of image segmentation methods. We start with a state-of-the art of the evaluation criteria, involving a reference segmentation or not. B...
Sylvie Philipp-Foliguet, Laurent Guigues