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RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 10 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
161
Voted
CVPR
2001
IEEE
16 years 6 months ago
Evolving Image Segmentations for the Analysis of Video Sequences
A methodology for the segmentation of successive frames of a video sequence is presented. Traditional methods, treating each frame in isolation, are computationally expensive, ign...
A. A. Clark, Barry T. Thomas
CVPR
2005
IEEE
16 years 6 months ago
Wide-Baseline Stereo Matching with Line Segments
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...
Herbert Bay, Vittorio Ferrari, Luc J. Van Gool
CVPR
2006
IEEE
16 years 6 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
CVPR
2007
IEEE
16 years 6 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan