Fuzzy entropy and conditioning
Information Sciences: an International Journal
Interfaces of fuzzy models: a study in fuzzy information processing
Information Sciences: an International Journal
The combination of edge detection and region extraction in nonparametric color image segmentation
Information Sciences: an International Journal
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time Complexity of Rough Clustering: GAs versus K-Means
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Some refinements of rough k-means clustering
Pattern Recognition
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
Unsupervised multiscale segmentation of color images
Pattern Recognition Letters
Robust path-based spectral clustering
Pattern Recognition
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
Color image segmentation: Rough-set theoretic approach
Pattern Recognition Letters
Constrained Connectivity for Hierarchical Image Decomposition and Simplification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color image segmentation using morphological clustering and fusion with automatic scale selection
Pattern Recognition Letters
Information Sciences: an International Journal
Rough Neural Networks for Complex Concepts
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
Information Sciences: an International Journal
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
Rough Image Colour Quantisation
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A roughness measure for fuzzy sets
Information Sciences: an International Journal
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
A region growing and merging algorithm to color segmentation
Pattern Recognition
A rough set-based magnetic resonance imaging partial volume detection system
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Vector order statistics operators as color edge detectors
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Segmentation of color images using multiscale clustering and graph theoretic region synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Information measures in scale-spaces
IEEE Transactions on Information Theory
A hierarchical approach to color image segmentation using homogeneity
IEEE Transactions on Image Processing
Segmentation by Fusion of Histogram-Based -Means Clusters in Different Color Spaces
IEEE Transactions on Image Processing
Color edge detection using vector order statistics
IEEE Transactions on Image Processing
Iterative meta-clustering through granular hierarchy of supermarket customers and products
Information Sciences: an International Journal
Segmentation of color images using a linguistic 2-tuples model
Information Sciences: an International Journal
Information Sciences: an International Journal
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Color image segmentation is always an important technique in image processing system. Highly precise segmentation with low computation complexity can be achieved through roughness measurement which approximate the color histogram based on rough set theory. However, due to the imprecise description of neighborhood similarity, the existing roughness measure tends to over-focus on the trivial homogeneous regions but is not accurate enough to measure the color homogeneity. This paper aims to construct a multiscale roughness measure through simulating the human vision. We apply the theories of linear scale-space and rough sets to generate the hierarchical roughness of color distribution under multiple scales. This multiscale roughness can tolerate the disturbance of trivial regions and also can provide the multilevel homogeneity representation in vision, which therefore produces precise and intuitive segmentation results. Furthermore, we propose roughness entropy for scale selection. The optimal scale for segmentation is decided by the entropy variation. The proposed method shows the encouraging performance in the experiments based on Berkeley segmentation database.