Fixed points in fuzzy metric spaces
Fuzzy Sets and Systems
On some results in fuzzy metric spaces
Fuzzy Sets and Systems
On some results of analysis for fuzzy metric spaces
Fuzzy Sets and Systems
Some properites of fuzzy metric spaces
Fuzzy Sets and Systems
On fixed-point theorems in fuzzy metric spaces
Fuzzy Sets and Systems
On completion of fuzzy metric spaces
Fuzzy Sets and Systems - Fuzzy intervals
Fixed point theorems and Cauchy sequences in fuzzy metric spaces
Fuzzy Sets and Systems - Non-additive measures and random processes
Color spaces for computer graphics
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
On fuzzy contractive mappings in fuzzy metric spaces
Fuzzy Sets and Systems
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
Journal of Visual Communication and Image Representation
Fuzzy ψ-contractive mappings in non-Archimedean fuzzy metric spaces
Fuzzy Sets and Systems
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
A class of contractions in fuzzy metric spaces
Fuzzy Sets and Systems
On a class of completable fuzzy metric spaces
Fuzzy Sets and Systems
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
Examples of fuzzy metrics and applications
Fuzzy Sets and Systems
Answers to some open questions on fuzzy ψ-contractions in fuzzy metric spaces
Fuzzy Sets and Systems
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The George and Veeramani's fuzzy metric defined by M^*(x,y,t)=(min{x,y}+t)/(max{x,y}+t) on [0,~[(the set of non-negative real numbers) has shown some advantages in front of classical metrics in the process of filtering images. In this paper we study from the mathematical point of view this fuzzy metric and other fuzzy metrics related to it. As a consequence of this study we introduce, throughout the paper, some questions relative to fuzzy metrics. Also, as another practical application, we show that this fuzzy metric is useful for measuring perceptual colour differences between colour samples.