Perceptual color descriptor based on spatial distribution: A top-down approach
Image and Vision Computing
Complex wavelet transform with vocabulary tree for content based image retrieval
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
A new feature for image retrieval using a`trous wavelet transform and textons
International Journal of Computational Vision and Robotics
A relevance feedback-based learner for image retrieval using SIFT descriptors
International Journal of Computational Vision and Robotics
Image retrieval using improved texton co-occurrence matrix
International Journal of Computational Vision and Robotics
Expert system design using wavelet and color vocabulary trees for image retrieval
Expert Systems with Applications: An International Journal
Directional line edge binary pattern for texture image indexing and retrieval
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Modified color motif co-occurrence matrix for image indexing and retrieval
Computers and Electrical Engineering
Image indexing using the color and bit pattern feature fusion
Journal of Visual Communication and Image Representation
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In this paper, a new algorithm called Gabor wavelet correlogram (GWC) is proposed for image indexing and retrieval. GWC is an effort to extend our former wavelet correlogram algorithm by introducing rotation invariant features using Gabor wavelets. We also present some ideas in order to handle effectively the redundancy problem due to non-orthogonal decomposition of Gabor wavelets. Additionally, we use an optimized weighted relative distance measure to improve the retrieval performance. The retrieval results obtained by applying GWC to a 1000 image database demonstrated significant improvements in rank, precision, and recall compared to the wavelet correlogram and enhanced wavelet correlogram algorithms.