Texture Classification

28 papers with code • 0 benchmarks • 4 datasets

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

Most implemented papers

Learning rotation invariant convolutional filters for texture classification

ladislasl/CNN_invar_rot 22 Apr 2016

We present a method for learning discriminative filters using a shallow Convolutional Neural Network (CNN).

FWLBP: A Scale Invariant Descriptor for Texture Classification

swalpa/FWLBP 10 Jan 2018

In this paper we propose a novel texture descriptor called Fractal Weighted Local Binary Pattern (FWLBP).

Wavelet Convolutional Neural Networks

menon92/WaveletCNN 20 May 2018

Given that spatial and spectral approaches are known to have different characteristics, it will be interesting to incorporate a spectral approach into CNNs.

Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data

felixriese/CNN-SoilTextureClassification 15 Jan 2019

In future work, we can further enhance the introduced LucasCNN, LucasResNet and LucasCoordConv and include additional variables of the rich LUCAS dataset.

Persistence Curves: A canonical framework for summarizing persistence diagrams

azlawson/PersistenceCurves 16 Apr 2019

First, we develop a general and unifying framework of vectorizing diagrams that we call the \textit{Persistence Curves} (PCs), and show that several well-known summaries, such as Persistence Landscapes, fall under the PC framework.

3D Geometric salient patterns analysis on 3D meshes

AliceOTHMANI/3D-Geometric-Texture-Segmentation 18 Jun 2019

This paper presents a new efficient approach for geometric texture analysis on 3D triangular meshes.

Spatio-spectral networks for color-texture analysis

scabini/ssn 13 Sep 2019

Texture is one of the most-studied visual attribute for image characterization since the 1960s.

Local Rotation Invariance in 3D CNNs

v-andrearczyk/lri-cnn 19 Mar 2020

Locally Rotation Invariant (LRI) image analysis was shown to be fundamental in many applications and in particular in medical imaging where local structures of tissues occur at arbitrary rotations.

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis

voreille/ssbcnn 28 Apr 2020

We investigate the benefits of using the bispectrum over the spectrum in the design of a LRI layer embedded in a shallow Convolutional Neural Network (CNN) for 3D image analysis.

Co-occurrence Based Texture Synthesis

coocgan/cooc_texture 17 May 2020

As image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate.