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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 61–70 of 206 papers

TitleStatusHype
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Dynamic texture analysis for detecting fake faces in video sequences—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection—0
Adaptive texture energy measure method—0
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
Enriching Texture Analysis with Semantic Data—0
e-Counterfeit: a mobile-server platform for document counterfeit detection—0
Dynamic texture analysis with diffusion in networks—0
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