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

Marine Ecology Progress Series

Montse Demestre¹  Aureli Soria-Frisch¹  Joaquim Garrabou¹  Thomas Prelot¹  Laurent Guigues¹  Anton Albajes-Eizagirre¹  Josep-Maria Gili¹  N#xfaria Teixid#xf3¹  Didier Bolbo¹  Jaume Piera¹  Emilie Le Hir¹ 

关键词: Area cover;    Benthic communities;    Digital photography;    Image analysis;    Hierarchical segmentation;   

DOI  :  10.3354/meps09127

学科分类：海洋学与技术

来源: Inter-Research

【 摘 要 】

ABSTRACT: 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.

【 授权许可】

Unknown