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» A New Bayesian Method for Range Image Segmentation
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ICIP
2005
IEEE
14 years 10 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
SSIAI
2000
IEEE
14 years 1 months ago
Unsupervised Dempster-Shafer Fusion of Dependent Sensors
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
Wojciech Pieczynski
IMCSIT
2010
13 years 3 months ago
Region-based Measures for Evaluation of Color Image Segmentation
The present paper is aimed to compare the efficiency of a new segmentation method with several existing approaches. The paper addresses the problem of image segmentation evaluation...
Andreea Iancu, Bogdan Popescu, Marius Brezovan, Eu...
MICCAI
2005
Springer
14 years 10 months ago
Topology Correction Using Fast Marching Methods and Its Application to Brain Segmentation
We present here a new method for correcting the topology of objects segmented from medical images. Whereas previous techniques alter a surface obtained from the hard segmentation o...
Pierre-Louis Bazin, Dzung L. Pham
CIMCA
2008
IEEE
14 years 3 months ago
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...
Holger Schöner, Bernhard Moser, Adrian A. Dor...