DocumentCode :
1939879
Title :
Colour Image Comparison Using Vector Operators
Author :
Van der Weken, D. ; De Witte, V. ; Nachtegael, M. ; Schulte, S. ; Kerre, E.
Author_Institution :
Fuzziness & Uncertainty Modelling, Ghent Univ.
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
295
Lastpage :
300
Abstract :
We constructed several new fuzzy similarity measures for greyscale images that outperform the classical measures of comparison, like root mean square error or peak signal to noise ratio, in the sense of image quality evaluation. In this paper we investigate the usefulness of similarity measures for the comparison of colour images. Instead of applying the similarity measures for greyscale images component-wise, we extend the similarity measures to colour images by applying vector morphological operators. We restrict ourselves to an investigation in the RGB colour space
Keywords :
fuzzy set theory; image colour analysis; image representation; RGB colour space; fuzzy set theory; fuzzy similarity measure; greyscale image; image colour analysis; image quality evaluation; image representation; vector morphological operator; Color; Colored noise; Digital images; Fuzzy sets; Image processing; Image quality; Noise measurement; PSNR; Particle measurements; Root mean square;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631282
Filename :
1631282
Link To Document :
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