Two decades of local binary patterns: A survey

12/20/2016
by   Matti Pietikäinen, et al.
0

Texture is an important characteristic for many types of images. In recent years very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBP) have been developed, which has led to significant progress in applying texture methods to different problems and applications. Due to this progress, the division between texture descriptors and more generic image or video descriptors has been disappearing. A large number of different variants of LBP have been developed to improve its robustness, and to increase its discriminative power and applicability to different types of problems. In this chapter, the most recent and important variants of LBP in 2D, spatiotemporal, 3D, and 4D domains are surveyed. Interesting new developments of LBP in 1D signal analysis are also considered. Finally, some future challenges for research are presented.

READ FULL TEXT
research
10/13/2018

Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique

Since now, many approaches has been proposed for surface defect detectio...
research
07/15/2020

A cellular automata approach to local patterns for texture recognition

Texture recognition is one of the most important tasks in computer visio...
research
11/30/2011

Invariant texture analysis through Local Binary Patterns

In many image processing applications, such as segmentation and classifi...
research
12/28/2015

Graph entropies in texture segmentation of images

We study the applicability of a set of texture descriptors introduced in...
research
03/13/2017

Improving LBP and its variants using anisotropic diffusion

The main purpose of this paper is to propose a new preprocessing step in...
research
10/26/2018

Noise Sensitivity of Local Descriptors vs ConvNets: An application to Facial Recognition

The Local Binary Patterns (LBP) is a local descriptor proposed by Ojala ...
research
02/09/2021

An application of a pseudo-parabolic modeling to texture image recognition

In this work, we present a novel methodology for texture image recogniti...

Please sign up or login with your details

Forgot password? Click here to reset