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» Image Segmentation Using Local Variation
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CVPR
2008
IEEE
14 years 9 months ago
Using contours to detect and localize junctions in natural images
Contours and junctions are important cues for perceptual organization and shape recognition. Detecting junctions locally has proved problematic because the image intensity surface...
Michael Maire, Pablo Arbelaez, Charless Fowlkes, J...
ICCV
2011
IEEE
12 years 7 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
ICPR
2008
IEEE
14 years 2 months ago
A variational inference based approach for image segmentation
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu
DSSCV
2005
Springer
14 years 1 months ago
Histogram Statistics of Local Model-Relative Image Regions
Abstract. We present a novel approach to statistically characterize histograms of model-relative image regions. A multiscale model is used as an aperture to define image regions a...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
TIP
1998
162views more  TIP 1998»
13 years 7 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath