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
Fast wavelet histogram techniques for image indexing
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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)
Image retrieval based on the texton co-occurrence matrix
Pattern Recognition
Wavelet correlogram: A new approach for image indexing and retrieval
Pattern Recognition
Image retrieval based on multi-texton histogram
Pattern Recognition
Texture image retrieval using new rotated complex wavelet filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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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In this paper, a combination of a`trous wavelet transform (AWT) and Julesz's texton theory is used for feature extraction and retrieval of the images from natural image database. AWT is used to decompose the image and different texton elements are used to detect the spatial co-relation among the transform pixels in horizontal, vertical, diagonal and minor diagonal directions. Further, this information is combined with texture oriented image for generation of image feature vector. The proposed method is tested on Corel 1000 and 2500 image database and the retrieval results have demonstrated significant improvement in average precision, average weighted precision, average recall rate, average rank, standard deviation of rank, standard deviation of precision as well as feature extraction and retrieval time compared to optimal quantised wavelet correlogram (OQWC) and Gabor wavelet correlogram (GWC).