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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Gray-scale thinning by using a pseudo-distance map
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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A. Nedzved, S. Ablameyko, S. Uchida, "Gray-scale thinning by using a pseudo-distance map," Pattern Recognition, International Conference on, vol. 2, pp. 239-242, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.618,
author = {A. Nedzved and S. Ablameyko and S. Uchida},
title = {Gray-scale thinning by using a pseudo-distance map},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {239-242},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.618},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Gray-scale thinning by using a pseudo-distance map
SN - 1051-4651
SP239
EP242
A1 - A. Nedzved,
A1 - S. Ablameyko,
A1 - S. Uchida,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
A. Nedzved, United Institute of Informatics Problems of the National Academy of Sciences, Surganova 6, Minsk, 220012 Belarus.
S. Ablameyko, United Institute of Informatics Problems of the National Academy of Sciences, Surganova 6, Minsk, 220012 Belarus.
S. Uchida, Kyushu University, Japan
In this paper, the algorithm for thinning of greyscale images is proposed that is based on a pseudodistance map (PDM). The PDM is a simplified distance map of gray-scale image and uses only that features of image and objects that are necessary to build a skeleton. The algorithm works fast for large gray-scale images and allows constructing a high quality skeleton.
Citation:
A. Nedzved, S. Ablameyko, S. Uchida, "Gray-scale thinning by using a pseudo-distance map," icpr, vol. 2, pp.239-242, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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