Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Fuzzy logic controller based on genetic algorithms
Fuzzy Sets and Systems
Color image processing and applications
Color image processing and applications
Genetic-based fuzzy hybrid multichannel filters for color image restoration
Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters
Multidimensional Systems and Signal Processing
Selection weighted vector directional filters
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Nonlinear processing and analysis of angular signals
IEEE Transactions on Signal Processing
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
A robust approach to image enhancement based on fuzzy logic
IEEE Transactions on Image Processing
Nonlinear multivariate image filtering techniques
IEEE Transactions on Image Processing
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
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
Least-squares smoothing of 3D digital curves
Real-Time Imaging - Special issue on multi-dimensional image processing
On denoising and compression of DNA microarray images
Pattern Recognition
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
Journal of Visual Communication and Image Representation
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
Development of a Cascade Processing Method for Microarray Spot Segmentation
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Computer Methods and Programs in Biomedicine
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques
Image and Vision Computing
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Noise reduction of cDNA microarray images using complex wavelets
IEEE Transactions on Image Processing
A new vector median filter based on fuzzy metrics
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Vector median root signals determination for cDNA microarray image segmentation
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A data-adaptive approach to cDNA microarray image enhancement
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
A novel neural network approach to cDNA microarray image segmentation
Computer Methods and Programs in Biomedicine
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This paper presents a novel filtering framework capable of processing cDNA microarray images. The proposed two-component adaptive vector filters integrate well-known concepts from the areas of fuzzy set theory, nonlinear filtering, multidimensional scaling and robust order-statistics. By appropriately setting the weighting coefficients in a generalized framework, the method is capable of removing noise impairments while preserving structural information in cDNA microarray images. Noise removal is performed by tuning a membership function which utilizes distance criteria applied to cDNA vectorial inputs at each image location. The classical vector representation, adopted here for a two-channel processing task, as well as a new color-ratio model representation are used. Simulation studies reported in this paper indicate that the proposed adaptive fuzzy vector filters are computationally attractive, yield excellent performance and are able to preserve structural information while efficiently suppressing noise in cDNA microarray data.