Two new parameters for the ordinal analysis of images

12/30/2022
by   Christoph Bandt, et al.
0

Local patterns play an important role in statistical physics as well as in image processing. Two-dimensional ordinal patterns were studied by Ribeiro et al. who determined permutation entropy and complexity in order to classify paintings and images of liquid crystals. Here we find that the 2 by 2 patterns of neighboring pixels come in three types. The statistics of these types, expressed by two parameters, contains the relevant information to describe and distinguish textures. The parameters are most stable and informative for isotropic structures.

READ FULL TEXT

page 5

page 8

page 11

page 14

page 16

research
09/15/2022

Statistical Properties of the Entropy from Ordinal Patterns

The ultimate purpose of the statistical analysis of ordinal patterns is ...
research
03/04/2018

Complexity and (un)decidability of fragments of 〈 ω^ω^λ; ×〉

We specify the frontier of decidability for fragments of the first-order...
research
03/05/2021

Complexity-based permutation entropies: from deterministic time series to white noise

This is a paper in the intersection of time series analysis and complexi...
research
01/07/2019

Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods

Imaging techniques are essential tools for inquiring a number of propert...
research
12/16/2021

A model sufficiency test using permutation entropy

Using the ordinal pattern concept in permutation entropy, we propose a m...
research
09/06/2016

Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane

The aim of this paper is to further explore the usefulness of the two-di...
research
11/10/2015

Investigating the stylistic relevance of adjective and verb simile markers

Similes play an important role in literary texts not only as rhetorical ...

Please sign up or login with your details

Forgot password? Click here to reset