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» An in Depth Comparison of Four Texture Segmentation Methods
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CBMS
2007
IEEE
13 years 7 months ago
Comparison of 3D Segmentation Algorithms for Medical Imaging
In this paper we present an evaluation of four different 3D segmentation algorithms with respect to their performance on three different CT Data Sets. The segmentation algorithms ...
Hakan Bulu, Adil Alpkocak
TOG
2008
293views more  TOG 2008»
13 years 5 months ago
A perceptually validated model for surface depth hallucination
Capturing detailed surface geometry currently requires specialized equipment such as laser range scanners, which despite their high accuracy, leave gaps in the surfaces that must ...
Mashhuda Glencross, Gregory J. Ward, Francho Melen...
CVPR
2007
IEEE
14 years 7 months ago
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms
Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods have been tested on a...
René Vidal, Roberto Tron
ICIAP
1999
ACM
13 years 9 months ago
Comparison of Texture Features Based on Gabor Filters
—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which ...
Peter Kruizinga, Nicolai Petkov, Simona E. Grigore...
MICCAI
2008
Springer
14 years 6 months ago
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
Kolawole O. Babalola, Brian Patenaude, Paul Alja...