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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 181–190 of 206 papers

TitleStatusHype
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
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