Rotation- and scale-invariant texture classification using log-polar and ridgelet transforms

Authors:
Hela Mahersia;Kamel Hamrouni
Affiliations:
National Engineering School of Tunis, Tunis, Tunisia;National Engineering School of Tunis, Tunis, Tunisia
Venue:
Machine Graphics & Vision International Journal
Year:
2009

Citing 28
Cited 0

A model-based method for rotation invariant texture classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Feature Extraction and Selection for Texture Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture analysis

Handbook of pattern recognition & 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
Filtering for Texture Classification: A Comparative Study

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification by Wavelet Packet Signatures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation and Gray Scale Transform Invariant Texture Identification using Wavelet Decomposition and Hidden Markov Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation-invariant texture classification using modified Gabor filters

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Extraction of noise robust rotation invariant texture features via multichannel filtering

ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
A New Digital Implementation of Ridgelet Transform for Images of Dyadic Length

ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Texture Classification Using Ridgelet Transform

ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Invariant Texture Classification Using Ridgelet Packets

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Rotation invariant texture classification by ridgelet transform and frequency-orientation space decomposition

Signal Processing
Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features

Pattern Recognition
Texture classification using rotated wavelet filters

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model

IEEE Transactions on Image Processing
Rotation-invariant texture classification using a complete space-frequency model

IEEE Transactions on Image Processing
Statistical texture characterization from discrete wavelet representations

IEEE Transactions on Image Processing
Extended fractal analysis for texture classification and segmentation

IEEE Transactions on Image Processing
The finite ridgelet transform for image representation

IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform

IEEE Transactions on Image Processing
Unsupervised texture segmentation of images using tuned matched Gabor filters

IEEE Transactions on Image Processing
Bispectral analysis and model validation of texture images

IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Classification of distorted texture images is a challenging and important problem in real world image analysis and understanding. This paper proposes a new texture characterization method which is robust to geometric distortions, including rotation and scale changes. The rotation- and scale-invariant feature extraction for a given image involves applying the log-polar transform to eliminate the rotation and scale effects, followed by the ridgelet transform. In the experiments, the K-nearest neighborhood classifier is employed, using Euclidian and Manhattan distances to classify two sets of 30 and 40 distinct natural textures selected from the Brodatz and the VisTex albums. The experimental results, based on different test data sets for images with different orientations and scales, show that the proposed classification scheme using log-polar ridgelet signatures outperforms texture classification based on log-polar and wavelet transforms. Its overall accuracy rate reaches 100% for orientation or scale changes, and is about 73.708% for joint rotation and scale changes. These results demonstrate the effectiveness of our characterization method in texture image classification experiments.