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ICCV
2001
IEEE
15 years 11 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ISBI
2011
IEEE
14 years 1 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
ICCV
2007
IEEE
15 years 1 months ago
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI)...
Demian Wassermann, Maxime Descoteaux, Rachid Deric...
ICIP
2009
IEEE
14 years 7 months ago
Colour saliency-based parameter optimisation for adaptive colour segmentation
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
Dana Elena Ilea, Paul F. Whelan
ECCV
2008
Springer
15 years 11 months ago
Object Recognition by Integrating Multiple Image Segmentations
The joint tasks of object recognition and object segmentation from a single image are complex in their requirement of not only correct classification, but also deciding exactly whi...
Caroline Pantofaru, Cordelia Schmid, Martial Heber...