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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 21–30 of 206 papers

TitleStatusHype
FWLBP: A Scale Invariant Descriptor for Texture ClassificationCode0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Local Rotation Invariance in 3D CNNsCode0
face anti-spoofing based on color texture analysisCode0
Quantitative Measures for Passive Sonar Texture AnalysisCode0
Co-occurrence Based Texture SynthesisCode0
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral DataCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
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