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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 71–80 of 206 papers

TitleStatusHype
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
e-Counterfeit: a mobile-server platform for document counterfeit detection—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Fast and accurate computation of orthogonal moments for texture analysis—0
Fast deterministic tourist walk for texture analysis—0
Fast Rotational Sparse Coding—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Fractal Dimension Invariant Filtering and Its CNN-based Implementation—0
Dynamic texture analysis with diffusion in networks—0
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