Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Median filter based on fuzzy rules and its application to image restoration
Fuzzy Sets and Systems - Special issue on fuzzy signal processing
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
Fuzzy Sets and Systems
Extraction of line segments from fuzzy images
Pattern Recognition Letters
Some new fuzzy entropy formulas
Fuzzy Sets and Systems
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Region-based fit of color homogeneity measures for fuzzy image segmentation
Fuzzy Sets and Systems
Comment on: "Image thresholding using type II fuzzy sets"
Pattern Recognition
Interval-valued fuzzy sets constructed from matrices: Application to edge detection
Fuzzy Sets and Systems
Relationship between similarity measure and entropy of interval valued fuzzy sets
Fuzzy Sets and Systems
Image thresholding using type II fuzzy sets
Pattern Recognition
Image thresholding using fuzzy entropies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Histogram-based fuzzy filter for image restoration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
Type-2 Fuzzistics for Symmetric Interval Type-2 Fuzzy Sets: Part 1, Forward Problems
IEEE Transactions on Fuzzy Systems
Fuzzy homogeneity approach to multilevel thresholding
IEEE Transactions on Image Processing
A hierarchical approach to color image segmentation using homogeneity
IEEE Transactions on Image Processing
A fuzzy impulse noise detection and reduction method
IEEE Transactions on Image Processing
Switching-based filter based on Dempster's combination rule for image processing
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Interval-valued fuzzy sets for color image super-resolution
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Mathematical morphology on bipolar fuzzy sets: general algebraic framework
International Journal of Approximate Reasoning
Partition-based fuzzy median filter based on adaptive resonance theory
Computer Standards & Interfaces
Soft computing-based preference selection index method for human resource management
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A new fuzzy image filter controlled by interval-valued fuzzy sets (IVFS) is proposed for removing noise from images. The proposed approach is based on IVFS entropy application. IVFS makes it possible to take into account the total uncertainty inherent to image processing, and particularly noise removal is considered. Interval-valued fuzzy sets entropy is used as a tool to perform histogram analysis in order to find all major homogeneous regions at the first stage. Then, an efficient peak-finding algorithm is employed to identify the most significant peaks of the histogram (1) and a noise filtering process (2) that estimates the original value of each noisy pixel (utilizing the global information from (1) and the local information of the image pixels) is proposed. Experimental results have demonstrated that the proposed filter can outperform some well-known classical and fuzzy filters in preserving image details while suppressing impulse noise and reducing Gaussian noise. The main advantage of the proposed technique is to restrict the number of thresholds or parameters which have to be tuned.