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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 151–200 of 206 papers

TitleStatusHype
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
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification—0
Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing—0
Riesz feature representation: scale equivariant scattering network for classification tasks—0
Rigid-Motion Scattering for Texture Classification—0
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval—0
Rotational 3D Texture Classification Using Group Equivariant CNNs—0
Scale Selective Extended Local Binary Pattern for Texture Classification—0
Segmentation of Lung Tumor from CT Images using Deep Supervision—0
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis—0
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model—0
Sensing and Recognizing Surface Textures Using a GelSight Sensor—0
Shortest Paths in HSI Space for Color Texture Classification—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Sparse Radial Sampling LBP for Writer Identification—0
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification—0
Spatial Logics and Model Checking for Medical Imaging (Extended Version)—0
Spatio-temporal encoding improves neuromorphic tactile texture classification—0
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images—0
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction—0
Supervised Dictionary Learning—0
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure—0
Texture analysis by multi-resolution fractal descriptors—0
Texture analysis using deterministic partially self-avoiding walk with thresholds—0
Texture analysis using volume-radius fractal dimension—0
Texture-aware Video Frame Interpolation—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
Using Filter Banks in Convolutional Neural Networks for Texture ClassificationCode0
3D Geometric salient patterns analysis on 3D meshesCode0
Co-occurrence Based Texture SynthesisCode0
FWLBP: A Scale Invariant Descriptor for Texture ClassificationCode0
Learning rotation invariant convolutional filters for texture classificationCode0
face anti-spoofing based on color texture analysisCode0
Spatio-spectral networks for color-texture analysisCode0
Quantitative Measures for Passive Sonar Texture AnalysisCode0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Local Rotation Invariance in 3D CNNsCode0
PCANet: A Simple Deep Learning Baseline for Image Classification?Code0
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesCode0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
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