International Journal of Computer Vision
Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel vector-based approach to color image retrieval using a vector angular-based distance measure
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Spatial Color Indexing and Applications
International Journal of Computer Vision
Color image processing and applications
Color image processing and applications
Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Foundations of Fuzzy Systems
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Image retrieval based on color distribution entropy
Pattern Recognition Letters
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Color image retrieval technique based on color features and image bitmap
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Morphological description of color images for content-based image retrieval
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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A novel content-based image retrieval approach using fuzzy combination of color and texture image features is expressed in this paper. To accomplish this, color histogram and autocorrelogram of the partitioned image as color features and Gabor wavelet as texture feature are used. Color and texture features are separately extracted and kept as feature vectors. In comparing images similarity stage, the difference between feature vectors is computed. Since center of image is more important, higher weight is considered for it in the comparison of autocorrelograms, and due to this fact the retrieval performance is improved; and also finding the most similar regions using autocorrelogram of the other regions, makes the algorithm more invariant to rotation and to somehow to changing the viewing angle. To make the final decision about images similarity ratio, a fuzzy rule-based system is utilized. Experimental results show this method improved the performance of contentbased image retrieval systems.