Texture discrimination by Gabor functions
Biological Cybernetics
Spatial frequency channels and perceptual grouping in texture segregation
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
Texture segmentation using Gabor modulation/demodulation
Pattern Recognition Letters
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Large scale natural vision simulations
Future Generation Computer Systems - Special issue: high performance computing and networking (HPCN)
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
Visual information retrieval
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Precision and Recall of GlOSS Estimators for Database Discovery
PDIS '94 Proceedings of the Third International Conference on Parallel and Distributed Information Systems
Markov Random Field Texture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Nonlinear operator for oriented texture
IEEE Transactions on Image Processing
Comparison of texture features based on Gabor filters
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
WND-CHARM: Multi-purpose image classification using compound image transforms
Pattern Recognition Letters
Image retrieval based on the texton co-occurrence matrix
Pattern Recognition
Rotation and Scale Invariant Texture Analysis with Tunable Gabor Filter Banks
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Advances in Rotation-Invariant Texture Analysis
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Image ratio features for facial expression recognition application
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
Image and Vision Computing
Texture classification using refined histogram
IEEE Transactions on Image Processing
A novel image retrieval model based on the most relevant features
Knowledge-Based Systems
An integrated aurora image retrieval system: AuroraEye
Journal of Visual Communication and Image Representation
An effective image retrieval scheme using color, texture and shape features
Computer Standards & Interfaces
A robust texture descriptor using multifractal analysis with Gabor filter
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Aurora image segmentation by combining patch and texture thresholding
Computer Vision and Image Understanding
Computers and Electronics in Agriculture
Adaptive matrices for color texture classification
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Rotation-invariant texture features from the steered Hermite transform
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Comparative study of global color and texture descriptors for web image retrieval
Journal of Visual Communication and Image Representation
Journal of Computer and System Sciences
Scale and orientation matching for texture analysis and recognition
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
A new content-based image retrieval technique using color and texture information
Computers and Electrical Engineering
Antinoise texture retrieval based on PCNN and one-class SVM
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Fused Lasso and rotation invariant autoregressive models for texture classification
Pattern Recognition Letters
Engineering Applications of Artificial Intelligence
A new matching strategy for content based image retrieval system
Applied Soft Computing
Orthogonal locally discriminant spline embedding for plant leaf recognition
Computer Vision and Image Understanding
Region and boundary feature estimation on ultrasound images using moment invariants
Computer Methods and Programs in Biomedicine
Content-based image retrieval by integrating color and texture features
Multimedia Tools and Applications
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Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. To address this issue, existing methods exploit multiple stages of transformations for making rotation and/or scaling being invariant at the expense of high computational complexity and degraded retrieval performance. The latter is mainly due to the lost of image details after multiple transformations. In this paper, a rotation-invariant and a scale-invariant Gabor representations are proposed, where each representation only requires few summations on the conventional Gabor filter impulse responses. The optimum setting of the orientation parameter and scale parameter is experimentally determined over the Brodatz and MPEG-7 texture databases. Features are then extracted from these new representations for conducting rotation-invariant or scale-invariant texture image retrieval. Since the dimension of the new feature space is much reduced, this leads to a much smaller metadata storage space and faster on-line computation on the similarity measurement. Simulation results clearly show that our proposed invariant Gabor representations and their extracted invariant features significantly outperform the conventional Gabor representation approach for rotation-invariant and scale-invariant texture image retrieval.