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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 111–120 of 206 papers

TitleStatusHype
Rotational 3D Texture Classification Using Group Equivariant CNNs—0
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique—0
Dynamic texture analysis with diffusion in networks—0
Fusion of complex networks and randomized neural networks for texture analysis—0
Convex Class Model on Symmetric Positive Definite Manifolds—0
Fast Rotational Sparse Coding—0
Classification-Driven Dynamic Image Enhancement—0
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval—0
Multilayer Complex Network Descriptors for Color-Texture Characterization—0
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks—0
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