Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape)
9 pages, 3 figures, 3 tables
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Format: | artículo biblioteca |
Language: | English |
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Inter Research
2011-06-09
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Subjects: | Area cover, Benthic communities, Digital photography, Image analysis, Hierarchical segmentation, |
Online Access: | http://hdl.handle.net/10261/45741 |
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dig-icm-es-10261-457412020-11-26T10:07:17Z Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) 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 Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation 9 pages, 3 figures, 3 tables 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 This 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, respectively Peer reviewed 2012-02-16T12:08:28Z 2012-02-16T12:08:28Z 2011-06-09 artículo http://purl.org/coar/resource_type/c_6501 Marine Ecology Progress Series 431: 45-53 (2011) 0171-8630 http://hdl.handle.net/10261/45741 10.3354/meps09127 1616-1599 en https://doi.org/10.3354/meps09127 open Inter Research |
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Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation |
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Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation 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 Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) |
description |
9 pages, 3 figures, 3 tables |
format |
artículo |
topic_facet |
Area cover Benthic communities Digital photography Image analysis Hierarchical segmentation |
author |
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_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_sort |
Teixidó, Nuria |
title |
Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) |
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) |
publisher |
Inter Research |
publishDate |
2011-06-09 |
url |
http://hdl.handle.net/10261/45741 |
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