DocumentCode
2878121
Title
An overview of similarity measures for images
Author
Van der Weken, Dietrich ; Nachtegael, Mike ; Kerre, Etienne E.
Author_Institution
Fuzziness and Uncertainty Modelling Research Unit, Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (Building S9), 9000, Belgium
Volume
4
fYear
2002
fDate
13-17 May 2002
Abstract
Fuzzy techniques can be applied in several domains of image processing. In this paper we will show how notions of fuzzy set theory are used in establishing measures for image quality evaluation. Objective quality measures or measures of comparison are of great importance in the field of image processing. Such measures are necessary for the evaluation and the comparison of different algorithms that are designed to solve a similar problem, and consequently they serve as a basis on which algorithm is preferred to the other. In this paper, we will show how similarity measures originally introduced to compare two fuzzy sets can be applied successfully in the domain of image processing.
Keywords
Atmospheric measurements; Computed tomography; Manganese; Particle measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5745363
Filename
5745363
Link To Document