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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

Showing 1120 of 206 papers

TitleStatusHype
Histogram Layers for Texture AnalysisCode1
Debiased Self-Training for Semi-Supervised LearningCode1
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
Learning rotation invariant convolutional filters for texture classificationCode0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
3D Geometric salient patterns analysis on 3D meshesCode0
Local Rotation Invariance in 3D CNNsCode0
face anti-spoofing based on color texture analysisCode0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
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