A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
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
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture features for content-based retrieval
Principles of visual information retrieval
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Gabor Wavelet Correlogram Algorithm for Image Indexing and Retrieval
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Texture image retrieval using rotated wavelet filters
Pattern Recognition Letters
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Wavelet correlogram: A new approach for image indexing and retrieval
Pattern Recognition
Image retrieval based on multi-texton histogram
Pattern Recognition
A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Texture classification using rotated wavelet filters
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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This paper proposed a new technique for content-based image retrieval (CBIR) using a combination of a` trous wavelet transform (AWT) and Julesz|s texton elements. AWT is used to decomposse the image into different scales and different texton elements are used to detect the spatial co-relation among the transform coefficients in horizontal, vertical, diagonal and minor diagonal directions which results into texton image. Further co-occurance operations are performed on texton image in horizontal and zigzag direction. Texton co-occurance matrix gives second order statistics related to texton image. The proposed method is tested on natural database (Corel 1000 and Corel 2500) and texture database (Brodatz and USC texture database) and the retrieval results have demonstrated significant improvement in average precision, average recall rate, as well as feature extraction and retrieval time compared to optimal quantised wavelet correlogram (OQWC) and Gabor wavelet correlogram (GWC).