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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 201–206 of 206 papers

TitleStatusHype
Block Motion Based Dynamic Texture Analysis: A Review—0
Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
Can autism be diagnosed with AI?—0
Characterization of migrated seismic volumes using texture attributes: a comparative study—0
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