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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 141–150 of 206 papers

TitleStatusHype
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
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