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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 76–100 of 206 papers

TitleStatusHype
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination—0
A cellular automata approach to local patterns for texture recognition—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Fractal Dimension Invariant Filtering and Its CNN-based Implementation—0
Fractal measures of image local features: an application to texture recognition—0
From BoW to CNN: Two Decades of Texture Representation for Texture Classification—0
Fusing Subcategory Probabilities for Texture Classification—0
Fusion of complex networks and randomized neural networks for texture analysis—0
Fusion of Complex Networks-based Global and Local Features for Texture Classification—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Fast Rotational Sparse Coding—0
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis—0
Classification Driven Dynamic Image Enhancement—0
Graph entropies in texture segmentation of images—0
Fast deterministic tourist walk for texture analysis—0
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
Heterogeneous patterns enhancing static and dynamic texture classification—0
Fast and accurate computation of orthogonal moments for texture analysis—0
Characterization of migrated seismic volumes using texture attributes: a comparative study—0
Human activity recognition from mobile inertial sensors using recurrence plots—0
Identifying the Origin of Finger Vein Samples Using Texture Descriptors—0
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators—0
A PCA-Based Convolutional Network—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
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