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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
Gaussian Noise Elimination in Colour Images by Vector-Connected Filters
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
F. Ortiz, F. Torres, P. Gil, "Gaussian Noise Elimination in Colour Images by Vector-Connected Filters," Pattern Recognition, International Conference on, vol. 4, pp. 807-810, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2004.1333895,
author = {F. Ortiz and F. Torres and P. Gil},
title = {Gaussian Noise Elimination in Colour Images by Vector-Connected Filters},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2004},
issn = {1051-4651},
pages = {807-810},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333895},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Gaussian Noise Elimination in Colour Images by Vector-Connected Filters
SN - 1051-4651
SP807
EP810
A1 - F. Ortiz,
A1 - F. Torres,
A1 - P. Gil,
PY - 2004
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
F. Ortiz, University of Alicante, Spain
F. Torres, University of Alicante, Spain
P. Gil, University of Alicante, Spain
This paper deals with the use of vector-connected filters for eliminating Gaussian noise in colour images. This class of morphological filters suppresses noise but preserves the contours of the objects. We impose a total order between pixels for morphological processing. Once the HSI space has been adapted, we employ it in the lexicographical order. As such, all of the morphological operations are vectorial. After having defined the vectorial geodesic operators, they are then employed to eliminate Gaussian noise.
Citation:
F. Ortiz, F. Torres, P. Gil, "Gaussian Noise Elimination in Colour Images by Vector-Connected Filters," icpr, vol. 4, pp.807-810, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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