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 141–150 of 206 papers

TitleStatusHype
Multiscale Analysis for Improving Texture Classification—0
Multiscale Fractal Descriptors Applied to Texture Classification—0
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis—0
Multivariate mixture model for myocardium segmentation combining multi-source images—0
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction—0
Neutrosophic set based local binary pattern for texture classification—0
Online Optimization in Dynamic Environments—0
Parameter-free Geometric Document Layout Analysis—0
Patch and Shuffle: A Preprocessing Technique for Texture Classification in Autonomous Cementitious Fabrication—0
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients—0
Show:102550
← PrevPage 15 of 21Next →

No leaderboard results yet.