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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 76–100 of 206 papers

TitleStatusHype
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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