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» Low-Level Image Segmentation Based Scene Classification
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135
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MICCAI
2005
Springer
16 years 3 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...
120
Voted
ICIP
2005
IEEE
16 years 4 months ago
Coupled geometric and texture PDE-based segmentation
In this paper, along with recent trends in segmentation using multiple image cues, we examine the integration of modulation texture features, image contrast and region size for de...
Anastasia Sofou, Georgios Evangelopoulos, Petros M...
124
Voted
BMVC
2010
15 years 19 days ago
Automatic annotation of unique locations from video and text
Given a video and associated text, we propose an automatic annotation scheme in which we employ a latent topic model to generate topic distributions from weighted text and then mo...
Chris Engels, Koen Deschacht, Jan Hendrik Becker, ...
148
Voted
ACIVS
2007
Springer
15 years 6 months ago
Patch-Based Experiments with Object Classification in Video Surveillance
We present a patch-based algorithm for the purpose of object classification in video surveillance. Within detected regions-of-interest (ROIs) of moving objects in the scene, a feat...
Rob G. J. Wijnhoven, Peter H. N. de With
234
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Source Code
1894views
15 years 9 months ago
Supervised Image Segmentation Using Markov Random Fields
This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: 1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...
Csaba Gradwohl, Zoltan Kato