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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 151–200 of 206 papers

TitleStatusHype
Fast deterministic tourist walk for texture analysis—0
Evaluating Urbanization from Satellite and Aerial Images by means of a statistical approach to the texture analysis—0
Document Image Coding and Clustering for Script Discrimination—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
A Theoretical Analysis of Deep Neural Networks for Texture Classification—0
Learning rotation invariant convolutional filters for texture classificationCode0
Fractal Dimension Invariant Filtering and Its CNN-based Implementation—0
A non-extensive entropy feature and its application to texture classification—0
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization—0
Using Filter Banks in Convolutional Neural Networks for Texture ClassificationCode0
Combined statistical and model based texture features for improved image classification—0
Graph entropies in texture segmentation of images—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
face anti-spoofing based on color texture analysisCode0
Visualizing and Understanding Deep Texture Representations—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture AnalysisCode1
Fusing Subcategory Probabilities for Texture Classification—0
A PCA-Based Convolutional Network—0
Sparse Radial Sampling LBP for Writer Identification—0
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification—0
Texture Retrieval via the Scattering Transform—0
Improved texture image classification through the use of a corrosion-inspired cellular automaton—0
Texture analysis by multi-resolution fractal descriptors—0
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Texture analysis using volume-radius fractal dimension—0
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices—0
Amoeba Techniques for Shape and Texture Analysis—0
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction—0
Performance evaluation of wavelet scattering network in image texture classification in various color spaces—0
Adaptive texture energy measure method—0
Persistence-based Structural Recognition—0
Lacunarity Analysis on Image Patterns for Texture Classification—0
Improving weather radar by fusion and classification—0
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter—0
PCANet: A Simple Deep Learning Baseline for Image Classification?Code0
Block Motion Based Dynamic Texture Analysis: A Review—0
Rigid-Motion Scattering for Texture Classification—0
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Improving Texture Categorization with Biologically Inspired Filtering—0
Texture descriptor combining fractal dimension and artificial crawlers—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Online Optimization in Dynamic Environments—0
Sensing and Recognizing Surface Textures Using a GelSight Sensor—0
Enriching Texture Analysis with Semantic Data—0
Heterogeneous patterns enhancing static and dynamic texture classification—0
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel ApproachCode0
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