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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 5160 of 206 papers

TitleStatusHype
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC0
Continuous monitoring of plant sub-cellular structural changes for plant and crop diseases detection by use of Intelligent Laser Speckle Classification (AI) technique0
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare0
Texture-aware Video Frame Interpolation0
Identifying the Origin of Finger Vein Samples Using Texture Descriptors0
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points0
Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing0
Spatio-temporal encoding improves neuromorphic tactile texture classification0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique0
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