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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 151–160 of 206 papers

TitleStatusHype
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
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade—0
Provably scale-covariant networks from oriented quasi quadrature measures in cascade—0
Psychophysical vs. learnt texture representations in novelty detection—0
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks—0
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization—0
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification—0
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