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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 3140 of 206 papers

TitleStatusHype
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?0
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
Classification Driven Dynamic Image Enhancement0
Characterization of migrated seismic volumes using texture attributes: a comparative study0
A PCA-Based Convolutional Network0
Can autism be diagnosed with AI?0
Classification-Driven Dynamic Image Enhancement0
A non-extensive entropy feature and its application to texture classification0
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