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Texture Classification

Texture Classification is a fundamental issue in computer vision and image processing, playing a significant role in many applications such as medical image analysis, remote sensing, object recognition, document analysis, environment modeling, content-based image retrieval and many more.

Source: Improving Texture Categorization with Biologically Inspired Filtering

Papers

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Showing 51–100 of 206 papers

TitleStatusHype
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC—0
Continuous monitoring of plant sub-cellular structural changes for plant and crop diseases detection by use of Intelligent Laser Speckle Classification (AI) technique—0
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare—0
Texture-aware Video Frame Interpolation—0
Identifying the Origin of Finger Vein Samples Using Texture Descriptors—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery—0
Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing—0
Spatio-temporal encoding improves neuromorphic tactile texture classification—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems—0
Dynamic texture analysis for detecting fake faces in video sequences—0
C-CNN: Contourlet Convolutional Neural NetworksCode1
A cellular automata approach to local patterns for texture recognition—0
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis—0
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
Co-occurrence Based Texture SynthesisCode0
Modal features for image texture classification—0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images—0
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—0
Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens—0
Local Rotation Invariance in 3D CNNsCode0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor—0
Histogram Layers for Texture AnalysisCode1
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans—0
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators—0
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Spatio-spectral networks for color-texture analysisCode0
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection—0
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm—0
3D Geometric salient patterns analysis on 3D meshesCode0
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results—0
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade—0
Clustering Images by Unmasking - A New Baseline—0
Psychophysical vs. learnt texture representations in novelty detection—0
Persistence Curves: A canonical framework for summarizing persistence diagramsCode0
Shortest Paths in HSI Space for Color Texture Classification—0
Deep CNNs Meet Global Covariance Pooling: Better Representation and GeneralizationCode1
Texture image analysis and texture classification methods - A review—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis—0
Provably scale-covariant networks from oriented quasi quadrature measures in cascade—0
Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study—0
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