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Affiner la recherche Interroger des sources externesHierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) / Nuria Teixido in Marine Ecology Progress Series, MEPS, n° 431 ([09/06/2011])
Titre : Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) Type de document : Article/Communication Auteurs : Nuria Teixido, Auteur ; Anton Albajes-Eizagirre, Auteur ; Didier Boldo Année de publication : 2011 Article en page(s) : pp 45 - 53 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] espace colorimétrique
[Termes IGN] fond marin
[Termes IGN] habitat (nature)
[Termes IGN] image numérique
[Termes IGN] image sous-marine
[Termes IGN] phytosociologie
[Termes IGN] récif corallien
[Termes IGN] segmentation hiérarchique
[Termes IGN] unité phytosociologiqueRésumé : (auteur) An 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 scale. Numéro de notice : A2011-609 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3354/meps09127 Date de publication en ligne : 09/06/2011 En ligne : https://doi.org/10.3354/meps09127 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91709
in Marine Ecology Progress Series, MEPS > n° 431 [09/06/2011] . - pp 45 - 53[article]Documents numériques
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