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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
Spatio-spectral networks for color-texture analysisCode0
Learning rotation invariant convolutional filters for texture classificationCode0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
FWLBP: A Scale Invariant Descriptor for Texture ClassificationCode0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Block Motion Based Dynamic Texture Analysis: A Review—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
An accurate detection of micro-collapse during the lyophilisation of a 5% w/v lactose solution using a combination of novel techniques: intelligent laser speckle imaging (ILSI) and through-vial impedance spectroscopy (TVIS)—0
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis—0
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform—0
Amoeba Techniques for Shape and Texture Analysis—0
A concatenating framework of shortcut convolutional neural networks—0
Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks—0
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images—0
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames—0
A Theoretical Analysis of Deep Neural Networks for Texture Classification—0
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification—0
Convex Class Model on Symmetric Positive Definite Manifolds—0
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters—0
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC—0
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
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