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 31–40 of 206 papers

TitleStatusHype
Co-occurrence Based Texture SynthesisCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesCode0
Block Motion Based Dynamic Texture Analysis: A Review—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
An accurate detection of micro-collapse during the lyophilisation of a 5% w/v lactose solution using a combination of novel techniques: intelligent laser speckle imaging (ILSI) and through-vial impedance spectroscopy (TVIS)—0
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis—0
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform—0
Amoeba Techniques for Shape and Texture Analysis—0
Show:102550
← PrevPage 4 of 21Next →

No leaderboard results yet.