Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
Histogram-based fuzzy colour filter for image restoration
Image and Vision Computing
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
Journal of Visual Communication and Image Representation
Fuzzy Directional-Distance Vector Filter
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Robust rank vector median filter
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Modified bilateral filter for the restoration of noisy color images
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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The fuzzy scalar median (FSM) is proposed, defined by using ordering of fuzzy numbers based on fuzzy minimum and maximum operations defined by using the extension principle. Alternatively, the FSM is defined from the minimization of a fuzzy distance measure, and the equivalence of the two definitions is proven. Then, the fuzzy vector median (FVM) is proposed as an extension of vector median, based on a novel distance definition of fuzzy vectors, which satisfy the property of angle decomposition. By defining properly the fuzziness of a value, the combination of the basic properties of the classical scalar and vector median (VM) filter with other desirable characteristics can be succeeded