Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Fuzzy set theoretic measure for automatic feature evaluation
IEEE Transactions on Systems, Man and Cybernetics
C4.5: programs for machine learning
C4.5: programs for machine learning
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Digital Image Processing
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Relevance feedback in content-based image retrieval: some recent advances
Information Sciences—Applications: An International Journal
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Content-Based Image Retrieval by Relevance Feedback
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Boosting Color Saliency in Image Feature Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local image representations using pruned salient points with applications to CBIR
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Retrieving images in fuzzy object-relational databases using dominant color descriptors
Fuzzy Sets and Systems
Visual object retrieval via block-based visual-pattern matching
Pattern Recognition
Intraclass and interclass ambiguities (fuzziness) in feature evaluation
Pattern Recognition Letters
A memory learning framework for effective image retrieval
IEEE Transactions on Image Processing
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
Hierarchical Salient Point Selection for image retrieval
Pattern Recognition Letters
Image Dimensionality Reduction Based on the Intrinsic Dimension and Parallel Genetic Algorithm
International Journal of Cognitive Informatics and Natural Intelligence
Robust color image retrieval using visual interest point feature of significant bit-planes
Digital Signal Processing
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This paper presents a new image retrieval scheme using visually significant point features. The clusters of points around significant curvature regions (high, medium, and weak type) are extracted using a fuzzy set theoretic approach. Some invariant color features are computed from these points to evaluate the similarity between images. A set of relevant and non-redundant features is selected using the mutual information based minimum redundancy-maximum relevance framework. The relative importance of each feature is evaluated using a fuzzy entropy based measure, which is computed from the sets of retrieved images marked relevant and irrelevant by the users. The performance of the system is evaluated using different sets of examples from a general purpose image database. The robustness of the system is also shown when the images undergo different transformations.