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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

Showing 7180 of 206 papers

TitleStatusHype
Classification with Scattering Operators0
Classification-Driven Dynamic Image Enhancement0
A probabilistic patch based image representation using Conditional Random Field model for image classification0
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination0
A cellular automata approach to local patterns for texture recognition0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach0
Fast Rotational Sparse Coding0
Classification Driven Dynamic Image Enhancement0
Fractal Dimension Invariant Filtering and Its CNN-based Implementation0
Fast deterministic tourist walk for texture analysis0
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