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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
Sparse Radial Sampling LBP for Writer Identification—0
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification—0
Texture Retrieval via the Scattering Transform—0
Improved texture image classification through the use of a corrosion-inspired cellular automaton—0
Texture analysis by multi-resolution fractal descriptors—0
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Texture analysis using volume-radius fractal dimension—0
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices—0
Amoeba Techniques for Shape and Texture Analysis—0
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