A model-based method for rotation invariant texture classification
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
Markov random field modeling in computer vision
Markov random field modeling in computer vision
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
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 a complete space-frequency model
IEEE Transactions on Image Processing
Real-Time Gesture Recognition by Learning and Selective Control of Visual Interest Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieving scale from quasi-stationary images
Pattern Recognition Letters
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Dayside corona aurora classification based on X-gray level aura matrices
Proceedings of the ACM International Conference on Image and Video Retrieval
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentation
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Image denoising based on hierarchical Markov random field
Pattern Recognition Letters
A robust texture descriptor using multifractal analysis with Gabor filter
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Colour and rotation invariant textural features based on Markov random fields
Pattern Recognition Letters
Review article: Automated fabric defect detection-A review
Image and Vision Computing
Journal of Visual Communication and Image Representation
RETRACTED: Application of Bayes linear discriminant functions in image classification
Pattern Recognition Letters
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Sorted random projections for robust rotation-invariant texture classification
Pattern Recognition
Texture image classification using complex texton
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Discriminative features for texture description
Pattern Recognition
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory
Fundamenta Informaticae
A new GLLD operator for mass detection in digital mammograms
Journal of Biomedical Imaging - Special issue on Advanced Signal Processing Methods for Biomedical Imaging
Fused Lasso and rotation invariant autoregressive models for texture classification
Pattern Recognition Letters
| Hi-index | 0.14 |
Features based on Markov random field (MRF) models are sensitive to texture rotation. This paper develops an anisotropic circular Gaussian MRF (ACGMRF) model for retrieving rotation-invariant texture features. To overcome the singularity problem of the least squares estimate method, an approximate least squares estimate method is designed and implemented. Rotation-invariant features are obtained from the ACGMRF model parameters using the discrete Fourier transform. The ACGMRF model is demonstrated to be a statistical improvement over three published methods. The three methods include a Laplacian pyramid, an isotropic circular GMRF (ICGMRF), and gray level cooccurrence probability features.