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ISBI
2004
IEEE
14 years 8 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
CVPR
2011
IEEE
13 years 4 months ago
Object Segmentation by Alignment of Poselet Activations to Image Contours
In this paper, we propose techniques to make use of two complementary bottom-up features, image edges and texture patches, to guide top-down object segmentation towards higher pre...
Thomas Brox, Lubomir Bourdev, Subhransu Maji, Jite...
SCALESPACE
2007
Springer
14 years 1 months ago
Histogram Based Segmentation Using Wasserstein Distances
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Tony F. Chan, Selim Esedoglu, Kangyu Ni
CVPR
2005
IEEE
14 years 9 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 5 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