computer-vision-17
Texture Classification
3260 papers • 126 benchmarks • 313 datasets
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
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