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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 51–75 of 206 papers

TitleStatusHype
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
Compositional Neural Textures—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
Completed Local Derivative Pattern for Rotation Invariant Texture Classification—0
Dynamic texture analysis for detecting fake faces in video sequences—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
Combined statistical and model based texture features for improved image classification—0
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm—0
A Review on Image Texture Analysis Methods—0
A Hybrid Deep Learning Approach for Texture Analysis—0
CN-LBP: Complex Networks-based Local Binary Patterns for Texture Classification—0
Clustering Images by Unmasking - A New Baseline—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
Classification with Scattering Operators—0
Classification-Driven Dynamic Image Enhancement—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination—0
A cellular automata approach to local patterns for texture recognition—0
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