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Texture Classification
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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
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor
Histogram Layers for Texture Analysis
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters
Fusion of Convolutional Neural Network and Statistical Features for Texture classification
Spatio-spectral networks for color-texture analysis
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm
3D Geometric salient patterns analysis on 3D meshes
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
Clustering Images by Unmasking - A New Baseline
Shortest Paths in HSI Space for Color Texture Classification
Persistence Curves: A canonical framework for summarizing persistence diagrams
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Texture image analysis and texture classification methods - A review
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis
Provably scale-covariant networks from oriented quasi quadrature measures in cascade
Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study
Characterization of migrated seismic volumes using texture attributes: a comparative study
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Scale Selective Extended Local Binary Pattern for Texture Classification
Completed Local Derivative Pattern for Rotation Invariant Texture Classification
Spatial Logics and Model Checking for Medical Imaging (Extended Version)
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images
Rotational 3D Texture Classification Using Group Equivariant CNNs
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
Dynamic texture analysis with diffusion in networks
Fusion of complex networks and randomized neural networks for texture analysis
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