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 131–140 of 206 papers

TitleStatusHype
Rotational 3D Texture Classification Using Group Equivariant CNNs—0
Scale Selective Extended Local Binary Pattern for Texture Classification—0
Segmentation of Lung Tumor from CT Images using Deep Supervision—0
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis—0
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model—0
Sensing and Recognizing Surface Textures Using a GelSight Sensor—0
Shortest Paths in HSI Space for Color Texture Classification—0
Smile and Laugh Expressions Detection Based on Local Minimum Key Points—0
Sparse Radial Sampling LBP for Writer Identification—0
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification—0
Show:102550
← PrevPage 14 of 21Next →

No leaderboard results yet.