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Diatom identification including life cycle stages through morphological and texture descriptors

Diatoms are unicellular algae present almost wherever there is water. Diatom identification has many applications in different fields of study, such as ecology, forensic science, etc. In environmental studies, algae can be used as a natural water quality indicator. The diatom life cycle consists of...

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Autores principales: Sánchez, Carlos, Cristóbal, Gabriel, Bueno, Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487182/
https://www.ncbi.nlm.nih.gov/pubmed/31086732
http://dx.doi.org/10.7717/peerj.6770
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author Sánchez, Carlos
Cristóbal, Gabriel
Bueno, Gloria
author_facet Sánchez, Carlos
Cristóbal, Gabriel
Bueno, Gloria
author_sort Sánchez, Carlos
collection PubMed
description Diatoms are unicellular algae present almost wherever there is water. Diatom identification has many applications in different fields of study, such as ecology, forensic science, etc. In environmental studies, algae can be used as a natural water quality indicator. The diatom life cycle consists of the set of stages that pass through the successive generations of each species from the initial to the senescent cells. Life cycle modeling is a complex process since in general the distribution of the parameter vectors that represent the variations that occur in this process is non-linear and of high dimensionality. In this paper, we propose to characterize the diatom life cycle by the main features that change during the algae life cycle, mainly the contour shape and the texture. Elliptical Fourier Descriptors (EFD) are used to describe the diatom contour while phase congruency and Gabor filters describe the inner ornamentation of the algae. The proposed method has been tested with a small algae dataset (eight different classes and more than 50 samples per type) using supervised and non-supervised classification techniques obtaining accuracy results up to 99% and 98% respectively.
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spelling pubmed-64871822019-05-13 Diatom identification including life cycle stages through morphological and texture descriptors Sánchez, Carlos Cristóbal, Gabriel Bueno, Gloria PeerJ Bioinformatics Diatoms are unicellular algae present almost wherever there is water. Diatom identification has many applications in different fields of study, such as ecology, forensic science, etc. In environmental studies, algae can be used as a natural water quality indicator. The diatom life cycle consists of the set of stages that pass through the successive generations of each species from the initial to the senescent cells. Life cycle modeling is a complex process since in general the distribution of the parameter vectors that represent the variations that occur in this process is non-linear and of high dimensionality. In this paper, we propose to characterize the diatom life cycle by the main features that change during the algae life cycle, mainly the contour shape and the texture. Elliptical Fourier Descriptors (EFD) are used to describe the diatom contour while phase congruency and Gabor filters describe the inner ornamentation of the algae. The proposed method has been tested with a small algae dataset (eight different classes and more than 50 samples per type) using supervised and non-supervised classification techniques obtaining accuracy results up to 99% and 98% respectively. PeerJ Inc. 2019-04-25 /pmc/articles/PMC6487182/ /pubmed/31086732 http://dx.doi.org/10.7717/peerj.6770 Text en ©2019 Sánchez et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Sánchez, Carlos
Cristóbal, Gabriel
Bueno, Gloria
Diatom identification including life cycle stages through morphological and texture descriptors
title Diatom identification including life cycle stages through morphological and texture descriptors
title_full Diatom identification including life cycle stages through morphological and texture descriptors
title_fullStr Diatom identification including life cycle stages through morphological and texture descriptors
title_full_unstemmed Diatom identification including life cycle stages through morphological and texture descriptors
title_short Diatom identification including life cycle stages through morphological and texture descriptors
title_sort diatom identification including life cycle stages through morphological and texture descriptors
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487182/
https://www.ncbi.nlm.nih.gov/pubmed/31086732
http://dx.doi.org/10.7717/peerj.6770
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