English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/45741
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

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

AutorTeixidó, 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
Palabras claveArea cover
Benthic communities
Digital photography
Image analysis
Hierarchical segmentation
Fecha de publicación9-jun-2011
EditorInter Research
CitaciónMarine Ecology Progress Series 431: 45-53 (2011)
ResumenAn 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.
Descripción9 pages, 3 figures, 3 tables
Versión del editorhttp://dx.doi.org/10.3354/meps09127
URIhttp://hdl.handle.net/10261/45741
DOI10.3354/meps09127
ISSN0171-8630
E-ISSN1616-1599
Aparece en las colecciones: (CEAB) Artículos
(UTM) Artículos
(ICM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Teixidor_et_al_2011.pdf3,51 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.