Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)

9 pages, 3 figures, 3 tables

Detalles Bibliográficos
Autores: Teixidó, Nuria, Albajes-Eizagirre, Anton, Bolbo, Didier, Le Hir, Emilie, Demestre, Montserrat, Garrabou, Joaquim, Guigues, Laurent, Gili, Josep Maria, Piera, Jaume, Prelot, Thomas, Soria-Frisch, Aureli
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/45741
Acceso en línea:http://hdl.handle.net/10261/45741
Access Level:acceso abierto
Palabra clave:Area cover
Benthic communities
Digital photography
Image analysis
Hierarchical segmentation
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spelling Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)Teixidó, NuriaAlbajes-Eizagirre, AntonBolbo, DidierLe Hir, EmilieDemestre, MontserratGarrabou, JoaquimGuigues, LaurentGili, Josep MariaPiera, JaumePrelot, ThomasSoria-Frisch, AureliArea coverBenthic communitiesDigital photographyImage analysisHierarchical segmentation9 pages, 3 figures, 3 tablesAn important aspect of marine research is to quantify the areal coverage of benthic communities. It is technically feasible to efficiently obtain images of marine environments at different depths and benthic habitats over large spatial and temporal scales. Currently, there is a large and growing library of digital images to analyze, representing a valuable benthic ecological archive. Benthic coverage is the basis of studies on biodiversity, characterization of communities and evaluation of changes over temporal and spatial scales. However, there is still a lack of automatic or semi-automatic analytical methods for deriving ecologically relevant data from these images. We introduce a software program named Seascape to obtain semi-automatically segmented images (patch outlines) from underwater photographs of benthic communities, where each individual patch (species/categories) is routinely associated to its area cover and perimeter. Seascape is an analog to the classical and better known discipline of landscape ecology approach, which focuses on the concept that communities can be observed as a patch mosaic at any scale. The process starts with a hierarchical segmentation, using a color space criteria adapted to the problem of segmenting complex benthic images. As an endproduct, we obtain a set of images ­segmented into classified homogenous regions at different resolution levels (hierarchical seg­mentation). To illustrate the versatility and capacity of Seascape, we analyzed 4 digital images from different habitats and depths: coral reefs (Pacific Ocean), coralligenous communities (NW Mediterranean Sea), deep-water coral reefs (NW Mediterranean Sea) and the Antarctic continental shelf (Weddell Sea). The development of this semi-automatic outline tool and its use for classification constitute an important step ­forward in the analysis and processing time of underwater seabed images at any scaleThis work was funded by the Medchange project (Agence National de la Recherche, France), the Marie Curie Reintegration Grant Mechanisms (FP7- No.207632), the Spanish Ministry of Science and Innovation (CTM2009-06027-E/MAR) and TOTAL Foundation (MedDiversa Project). N.T. was partially funded by I3P-CSIC and Beatriu Pinós contracts (2009-BP-B-00263). The authors thank Dr. J. Smith, Scripps Institution of Oceanography, and IFMGEOMAR for the shallow and deep-water coral reef images, respectivelyPeer reviewedInter Research201220122011info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/45741reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3354/meps09127info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/457412026-05-22T06:33:51Z
dc.title.none.fl_str_mv Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
title Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
spellingShingle Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
Teixidó, Nuria
Area cover
Benthic communities
Digital photography
Image analysis
Hierarchical segmentation
title_short Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
title_full Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
title_fullStr Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
title_full_unstemmed Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
title_sort Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
dc.creator.none.fl_str_mv Teixidó, Nuria
Albajes-Eizagirre, Anton
Bolbo, Didier
Le Hir, Emilie
Demestre, Montserrat
Garrabou, Joaquim
Guigues, Laurent
Gili, Josep Maria
Piera, Jaume
Prelot, Thomas
Soria-Frisch, Aureli
author Teixidó, Nuria
author_facet Teixidó, Nuria
Albajes-Eizagirre, Anton
Bolbo, Didier
Le Hir, Emilie
Demestre, Montserrat
Garrabou, Joaquim
Guigues, Laurent
Gili, Josep Maria
Piera, Jaume
Prelot, Thomas
Soria-Frisch, Aureli
author_role author
author2 Albajes-Eizagirre, Anton
Bolbo, Didier
Le Hir, Emilie
Demestre, Montserrat
Garrabou, Joaquim
Guigues, Laurent
Gili, Josep Maria
Piera, Jaume
Prelot, Thomas
Soria-Frisch, Aureli
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Area cover
Benthic communities
Digital photography
Image analysis
Hierarchical segmentation
topic Area cover
Benthic communities
Digital photography
Image analysis
Hierarchical segmentation
description 9 pages, 3 figures, 3 tables
publishDate 2011
dc.date.none.fl_str_mv 2011
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/45741
url http://hdl.handle.net/10261/45741
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.3354/meps09127
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Inter Research
publisher.none.fl_str_mv Inter Research
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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