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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 176–200 of 206 papers

TitleStatusHype
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
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