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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
Can autism be diagnosed with AI?—0
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication—0
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans—0
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation—0
Deep Local Binary Patterns—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—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
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Document Image Coding and Clustering for Script Discrimination—0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
Dynamic texture analysis for detecting fake faces in video sequences—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Enriching Texture Analysis with Semantic Data—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection—0
Adaptive texture energy measure method—0
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
Evaluating Urbanization from Satellite and Aerial Images by means of a statistical approach to the texture analysis—0
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
e-Counterfeit: a mobile-server platform for document counterfeit detection—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Fast and accurate computation of orthogonal moments for texture analysis—0
Fast deterministic tourist walk for texture analysis—0
Fast Rotational Sparse Coding—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Fractal Dimension Invariant Filtering and Its CNN-based Implementation—0
Fractal measures of image local features: an application to texture recognition—0
From BoW to CNN: Two Decades of Texture Representation for Texture Classification—0
Fusing Subcategory Probabilities for Texture Classification—0
Fusion of complex networks and randomized neural networks for texture analysis—0
Fusion of Complex Networks-based Global and Local Features for Texture Classification—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
CN-LBP: Complex Networks-based Local Binary Patterns for Texture Classification—0
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis—0
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm—0
Graph entropies in texture segmentation of images—0
Combined statistical and model based texture features for improved image classification—0
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
Heterogeneous patterns enhancing static and dynamic texture classification—0
Dynamic texture analysis with diffusion in networks—0
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling—0
Human activity recognition from mobile inertial sensors using recurrence plots—0
Identifying the Origin of Finger Vein Samples Using Texture Descriptors—0
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators—0
Improved texture image classification through the use of a corrosion-inspired cellular automaton—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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