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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Qi Xu, Yan Qiu Chen, "Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification," Pattern Recognition, International Conference on, vol. 4, pp. 29-32, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.847,
author = {Qi Xu and Yan Qiu Chen},
title = {Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {29-32},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.847},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification
SN - 1051-4651
SP29
EP32
A1 - Qi Xu,
A1 - Yan Qiu Chen,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Qi Xu, Fudan Univ., Shanghai, P.R. China
Yan Qiu Chen, Fudan Univ., Shanghai, P.R. China
This paper proposes to apply a series of flexible threshold planes to the textured image and then use the topological and geometrical attributes of the blobs in the obtained binary images to describe image texture. The proposed Multiscale Blob Features (MBF) is invariant to linear gray-level scaling and rotation, and is insensitive to uniform spatial scaling. The experiment results show that MBF offers very low error rate on the entire Brodatz texture database, and confirm its invariance properties.
Citation:
Qi Xu, Yan Qiu Chen, "Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification," icpr, vol. 4, pp.29-32, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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