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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 101–125 of 206 papers

TitleStatusHype
Locally-Transferred Fisher Vectors for Texture Classification—0
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis—0
Modal features for image texture classification—0
Multilayer Complex Network Descriptors for Color-Texture Characterization—0
Multilayer deep feature extraction for visual texture recognition—0
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results—0
Multiscale Analysis for Improving Texture Classification—0
Multiscale Fractal Descriptors Applied to Texture Classification—0
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis—0
Multivariate mixture model for myocardium segmentation combining multi-source images—0
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction—0
Neutrosophic set based local binary pattern for texture classification—0
Online Optimization in Dynamic Environments—0
Parameter-free Geometric Document Layout Analysis—0
Patch and Shuffle: A Preprocessing Technique for Texture Classification in Autonomous Cementitious Fabrication—0
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients—0
Performance evaluation of wavelet scattering network in image texture classification in various color spaces—0
Persistence-based Structural Recognition—0
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction—0
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique—0
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade—0
Provably scale-covariant networks from oriented quasi quadrature measures in cascade—0
Psychophysical vs. learnt texture representations in novelty detection—0
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks—0
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization—0
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