SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 206 papers

TitleStatusHype
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans—0
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation—0
Deep Local Binary Patterns—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—0
Continuous monitoring of plant sub-cellular structural changes for plant and crop diseases detection by use of Intelligent Laser Speckle Classification (AI) technique—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection—0
Show:102550
← PrevPage 6 of 21Next →

No leaderboard results yet.