Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture image retrieval using rotated wavelet filters
Pattern Recognition Letters
Rotation- and scale-invariant texture classification using log-polar and ridgelet transforms
Machine Graphics & Vision International Journal
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
Image based diagnostic aid system for interstitial lung diseases
Expert Systems with Applications: An International Journal
Rotated complex wavelet transform with vocabulary tree for content based image retrieval
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Image retrieval using improved texton co-occurrence matrix
International Journal of Computational Vision and Robotics
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We propose an approach to the texture classification problem using a set of two-dimensional (2-D) wavelet filters that are nonseparable and oriented for improved characterization of diagonally oriented textures. Channel energies are estimated at the output of both the new filter bank and a standard discrete wavelet frames (DWF) filter bank. Classification results obtained using each individual method and in combination are presented. The results show that the oriented filter set results in finer discrimination providing complementary texture information to the DWF by making use of its orientation selectivity. As a result, a combination of the features from the output of two filter banks improved the classification accuracy significantly with a smaller number of features