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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
Supervised Segmentation of Textures in Backscatter Images
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus, "Supervised Segmentation of Textures in Backscatter Images," Pattern Recognition, International Conference on, vol. 2, pp. 20490, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048345,
author = {Pavel Paclík and Robert P. W. Duin and Geert M. P. van Kempen and Reinhard Kohlus},
title = {Supervised Segmentation of Textures in Backscatter Images},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2002},
issn = {1051-4651},
pages = {20490},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048345},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Supervised Segmentation of Textures in Backscatter Images
SN - 1051-4651
SP
EP
A1 - Pavel Paclík,
A1 - Robert P. W. Duin,
A1 - Geert M. P. van Kempen,
A1 - Reinhard Kohlus,
PY - 2002
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Pavel Paclík, Delft University of Technology
Robert P. W. Duin, Delft University of Technology
Geert M. P. van Kempen, Unilever R&D Vlaardingen
Reinhard Kohlus, Unilever R&D Vlaardingen
In this paper we present an application of statistical pattern recognition for segmentation of backscatter images (BSE) in product analysis of laundry detergents. Currently, application experts segment BSE images interactively which is both time consuming and expert dependent. We present a new, automatic, procedure for supervised BSE segmentation which is trained using additional multi-spectral EDX images. Each time a new feature selection procedure is employed to find a convenient feature subset for a particular segmentation problem. The performance of the presented algorithm is evaluated using ground-truth segmentation results. It is compared with that of interactive segmentation performed by the analyst.
Citation:
Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus, "Supervised Segmentation of Textures in Backscatter Images," icpr, vol. 2, pp.20490, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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