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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

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Greatest papers with code

PCANet: A Simple Deep Learning Baseline for Image Classification?

14 Apr 2014Ldpe2G/PCANet

In this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component analysis (PCA), binary hashing, and block-wise histograms.

FACE RECOGNITION FACE VERIFICATION IMAGE CLASSIFICATION OBJECT RECOGNITION TEXTURE CLASSIFICATION

Wavelet Convolutional Neural Networks for Texture Classification

24 Jul 2017shinfj/WaveletCNN_for_TextureClassification

We propose a novel CNN architecture, wavelet CNNs, which integrates a spectral analysis into CNNs.

IMAGE CLASSIFICATION TEXTURE CLASSIFICATION

Using Filter Banks in Convolutional Neural Networks for Texture Classification

12 Jan 2016v-andrearczyk/caffe-TCNN

Its architecture is indeed well suited to object analysis by learning and classifying complex (deep) features that represent parts of an object or the object itself.

OBJECT DETECTION SPEECH RECOGNITION TEXTURE CLASSIFICATION

Persistence Curves: A canonical framework for summarizing persistence diagrams

16 Apr 2019azlawson/PersistenceCurves

For that reason, transforming these diagrams in a way that is compatible with machine learning is an important topic currently researched in TDA.

TEXTURE CLASSIFICATION TOPOLOGICAL DATA ANALYSIS

Wavelet Convolutional Neural Networks

20 May 2018menon92/WaveletCNN

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

IMAGE CLASSIFICATION OBJECT RECOGNITION TEXTURE CLASSIFICATION

Histogram Layers for Texture Analysis

1 Jan 2020GatorSense/Histogram_Layer

We present a histogram layer for artificial neural networks (ANNs).

TEXTURE CLASSIFICATION

Co-occurrence Based Texture Synthesis

17 May 2020coocgan/cooc_texture

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

IMAGE GENERATION TEXTURE CLASSIFICATION TEXTURE SYNTHESIS

Local Rotation Invariance in 3D CNNs

19 Mar 2020v-andrearczyk/lri-cnn

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.

DATA AUGMENTATION TEXTURE CLASSIFICATION

Spatio-spectral networks for color-texture analysis

13 Sep 2019scabini/ssn

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

TEXTURE CLASSIFICATION