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 151–200 of 206 papers

TitleStatusHype
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter—0
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis—0
Texture Classification in Extreme Scale Variations using GANet—0
Texture Classification Network Integrating Adaptive Wavelet Transform—0
Texture Classification of MR Images of the Brain in ALS using CoHOG—0
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor—0
Texture descriptor combining fractal dimension and artificial crawlers—0
Texture Discrimination via Hilbert Curve Path Based Information Quantifiers—0
Texture features in medical image analysis: a survey—0
Texture image analysis and texture classification methods - A review—0
Texture image analysis based on joint of multi directions GLCM and local ternary patterns—0
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks—0
Texture Retrieval via the Scattering Transform—0
Texture Segmentation Based Video Compression Using Convolutional Neural Networks—0
Texture segmentation with Fully Convolutional Networks—0
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems—0
The Mehler-Fock Transform and some Applications in Texture Analysis and Color Processing—0
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare—0
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition—0
VisGraphNet: a complex network interpretation of convolutional neural features—0
Visualizing and Improving Scattering Networks—0
Visualizing and Understanding Deep Texture Representations—0
Texture Characterization by Using Shape Co-occurrence Patterns—0
2-d signature of images and texture classification—0
A cellular automata approach to local patterns for texture recognition—0
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
A concatenating framework of shortcut convolutional neural networks—0
Adaptive texture energy measure method—0
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication—0
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination—0
A Hybrid Deep Learning Approach for Texture Analysis—0
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC—0
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames—0
Amoeba Techniques for Shape and Texture Analysis—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
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection—0
A non-extensive entropy feature and its application to texture classification—0
A PCA-Based Convolutional Network—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
A Review on Image Texture Analysis Methods—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters—0
A Theoretical Analysis of Deep Neural Networks for Texture Classification—0
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images—0
Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks—0
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform—0
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
Show:102550
← PrevPage 4 of 5Next →

No leaderboard results yet.