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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 181190 of 206 papers

TitleStatusHype
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction0
Performance evaluation of wavelet scattering network in image texture classification in various color spaces0
Adaptive texture energy measure method0
Persistence-based Structural Recognition0
Lacunarity Analysis on Image Patterns for Texture Classification0
Improving weather radar by fusion and classification0
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter0
PCANet: A Simple Deep Learning Baseline for Image Classification?Code0
Block Motion Based Dynamic Texture Analysis: A Review0
Rigid-Motion Scattering for Texture Classification0
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