DocumentCode :
419413
Title :
Gaussian noise elimination in colour images by vector-connected filters
Author :
Ortiz, F. ; Torres, F. ; Gil, P.
Author_Institution :
Dept. of Phys., Syst. Eng. & Signal Theor., Alicante Univ., Spain
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
807
Abstract :
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.
Keywords :
Gaussian noise; differential geometry; filtering theory; image colour analysis; image denoising; Gaussian noise elimination; HSI space; colour images; morphological filters; noise suppression; vector-connected filters; vectorial geodesic operators; Color; Colored noise; Filters; Gas insulated transmission lines; Gaussian noise; Image processing; Lattices; Morphology; Noise reduction; Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333895
Filename :
1333895
Link To Document :
بازگشت