Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches

Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the multiple class object-based segmentation is achieved using the appearance and bag of keypoints models integrated over mean-shift patches. We...

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Bibliographic Details

Published in:	2007 IEEE Conference on Computer Vision and Pattern Recognition Vol. 2007; no. 4270254; pp. 1 - 8
Main Authors:	Yang, Lin, Meer, Peter, Foran, David J.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 16.07.2007
Subjects:	Bayesian methods Biomedical imaging Biomedical informatics Cancer Clustering algorithms Histograms Image segmentation Object recognition Shape Testing
ISBN:	9781424411795, 1424411793
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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