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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 81–90 of 206 papers

TitleStatusHype
From BoW to CNN: Two Decades of Texture Representation for Texture Classification—0
Fusing Subcategory Probabilities for Texture Classification—0
Fusion of complex networks and randomized neural networks for texture analysis—0
Fusion of Complex Networks-based Global and Local Features for Texture Classification—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Fast deterministic tourist walk for texture analysis—0
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis—0
Fast and accurate computation of orthogonal moments for texture analysis—0
Graph entropies in texture segmentation of images—0
Characterization of migrated seismic volumes using texture attributes: a comparative study—0
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