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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 1–50 of 206 papers

TitleStatusHype
Quantitative Measures for Passive Sonar Texture AnalysisCode0
Patch and Shuffle: A Preprocessing Technique for Texture Classification in Autonomous Cementitious Fabrication—0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
Lightweight Deepfake Detection Based on Multi-Feature Fusion—0
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Texture Discrimination via Hilbert Curve Path Based Information Quantifiers—0
An accurate detection of micro-collapse during the lyophilisation of a 5% w/v lactose solution using a combination of novel techniques: intelligent laser speckle imaging (ILSI) and through-vial impedance spectroscopy (TVIS)—0
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction—0
Compositional Neural Textures—0
Texture Classification Network Integrating Adaptive Wavelet Transform—0
TexTile: A Differentiable Metric for Texture TileabilityCode1
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis—0
Latent space configuration for improved generalization in supervised autoencoder neural networks—0
Riesz feature representation: scale equivariant scattering network for classification tasks—0
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5—0
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation—0
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients—0
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation MapsCode1
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks—0
Neutrosophic set based local binary pattern for texture classification—0
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision ResearchCode1
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction—0
Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks—0
Texture image analysis based on joint of multi directions GLCM and local ternary patterns—0
Multilayer deep feature extraction for visual texture recognition—0
Texture features in medical image analysis: a survey—0
Large-Margin Representation Learning for Texture Classification—0
Unsupervised Learning of the Total Variation FlowCode0
Can autism be diagnosed with AI?—0
2-d signature of images and texture classification—0
Multiscale Analysis for Improving Texture Classification—0
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesCode0
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform—0
Debiased Self-Training for Semi-Supervised LearningCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
Segmentation of Lung Tumor from CT Images using Deep Supervision—0
Data-driven and Automatic Surface Texture Analysis Using Persistent Homology—0
Fractal measures of image local features: an application to texture recognition—0
VisGraphNet: a complex network interpretation of convolutional neural features—0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
Fusion of Complex Networks-based Global and Local Features for Texture Classification—0
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis—0
CN-LBP: Complex Networks-based Local Binary Patterns for Texture Classification—0
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