Novel edge detection scheme in the trinion space for use in medical images with multiple components

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50005012" target="_blank" >RIV/62690094:18450/16:50005012 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45246-3_22</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_22" target="_blank" >10.1007/978-3-319-45246-3_22</a>

Result language

angličtina

Original language name

Novel edge detection scheme in the trinion space for use in medical images with multiple components

Original language description

Very recently we proposed a promising scheme for tissue classification of multi-parametric magnetic resonance images (MP-MRI) of the brain based on signal analysis in higher dimensional vector spaces. The method treats MP-MR images as colors represented holistically in three (trinion) or four (quaternion) algebraic spaces. Compared to the well known quaternions, the recently proposed three component trinions are more efficient in representation of images with three channels and the respective Fourier transforms allow visualization of their wavenumber spectra as a whole. The current study discusses an edge detection scheme based on statistical metrics derived from locally computed trinion Fourier transforms for use in robust edge detection of MP-MR images and other color medical images. Performance of the proposed scheme is compared against a quaternion formulation and with another vectorial approach. Application of the method is shown in edge detection of various color test images and scenes with different degrees of difficulty. Discussion and preliminary results on the application of the proposed scheme on MP-MR images of brain scans of patients treated for glioblastoma multiforme (GBM) have also been included.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

Computational collective intelligence (ICCCI 2016)

ISSN

0302-9743

e-ISSN

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Volume of the periodical

9876

Issue of the periodical within the volume

2016

Country of publishing house

DE - GERMANY

Number of pages

11

Pages from-to

231-241

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84989278733