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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 26–50 of 206 papers

TitleStatusHype
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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