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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

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Showing 111–120 of 206 papers

TitleStatusHype
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
Performance evaluation of wavelet scattering network in image texture classification in various color spaces—0
Persistence-based Structural Recognition—0
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction—0
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique—0
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