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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 171–180 of 206 papers

TitleStatusHype
Shortest Paths in HSI Space for Color Texture Classification—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Sparse Radial Sampling LBP for Writer Identification—0
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification—0
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
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