Fuzzy mathematical techniques with applications
Fuzzy mathematical techniques with applications
Multiscale image understanding
Parallel computer vision
Scale-Space Properties of the Multiscale Morphological Dilation-Erosion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space From Nonlinear Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chamfer metrics, the medial axis and mathematical morphology
Journal of Mathematical Imaging and Vision - Special issue on topology and geometry in computer vision
Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
A parallel fuzzy scale-space approach to the unsupervised texture separation
Pattern Recognition Letters
Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Scale-Space Approach to Pre-Attentive Texture Discrimination
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Self-organization for object extraction using a multilayer neural network and fuzziness measures
IEEE Transactions on Fuzzy Systems
A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering
IEEE Transactions on Image Processing
Fuzzy min-max neural networks. I. Classification
IEEE Transactions on Neural Networks
Independent component analysis and rough fuzzy based approach to web usage mining
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Granulation of a fuzzy set: Nonspecificity
Information Sciences: an International Journal
Mining usage web log via independent component analysis and rough fuzzy
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
A Hybrid Rough K-Means Algorithm and Particle Swarm Optimization for Image Classification
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Rough fuzzy set-based image compression
Fuzzy Sets and Systems
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Fuzzy preference based rough sets
Information Sciences: an International Journal
Using fuzzy inference system for architectural space analysis
Applied Soft Computing
A rough set based approach to patent development with the consideration of resource allocation
Expert Systems with Applications: An International Journal
The incremental method for fast computing the rough fuzzy approximations
Data & Knowledge Engineering
Rule extraction based on rough fuzzy sets in fuzzy information systems
Transactions on computational collective intelligence III
Multiscale roughness measure for color image segmentation
Information Sciences: an International Journal
Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives
International Journal of Approximate Reasoning
Hi-index | 0.00 |
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling rough sets and coarseness by handling fuzzy sets. Marrying both notions lead to consider, as instance, approximation of sets by means of similarity relations or fuzzy partitions. The most important features are extracted from the scale spaces by unsupervised cluster analysis, to successfully tackle image processing tasks. Here, we report some results achieved by applying the method to multi-class image segmentation and edge detection, but it can be shown to be successfully applied to texture discrimination problem too.