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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
Visualizing and Improving Scattering Networks—0
Visualizing and Understanding Deep Texture Representations—0
Texture Characterization by Using Shape Co-occurrence Patterns—0
2-d signature of images and texture classification—0
A cellular automata approach to local patterns for texture recognition—0
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
A concatenating framework of shortcut convolutional neural networks—0
Adaptive texture energy measure method—0
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication—0
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination—0
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