Texture Spectral Similarity Criteria

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00508907" target="_blank" >RIV/67985556:_____/19:00508907 - isvavai.cz</a>

Result on the web

<a href="https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0250" target="_blank" >https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0250</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/iet-ipr.2019.0250" target="_blank" >10.1049/iet-ipr.2019.0250</a>

Result language

angličtina

Original language name

Texture Spectral Similarity Criteria

Original language description

New similarity criteria capable of assessing spectral modelling plausibility of colour, Bidirectional Texture Functions (BTF), and hyper-spectral textures are presented. The criteria credibly compare the multi-spectral pixel values of the textures. They simultaneously consider the pixels of similar values and their mutual ratios. It allows support of the optimal modelling or acquisition setup development by comparing the original data with its synthetic simulations. Analytical applications of the criteria can be spectral-based texture retrieval or classification. The suggested criteria together with existing alternatives are extensively tested and compared on a wide variety of colour, BTF, and hyper-spectral textures. The performance quality of the criteria is examined in a long series of thousands specially designed monotonically degrading experiments where proposed ones outperform all tested alternatives.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/GA19-12340S" target="_blank" >GA19-12340S: Surface material recognition under variable optical observation conditions</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IET Image Processing

ISSN

1751-9659

e-ISSN

—

Volume of the periodical

13

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

1998-2007

UT code for WoS article

000487789000023

EID of the result in the Scopus database

2-s2.0-85072665108