Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels

Détails

ID Serval
serval:BIB_F94700CE1495
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels
Périodique
EARTH SURFACE PROCESSES AND LANDFORMS
Auteur(s)
Carbonneau PE, Bergeron NE, Lane SN
ISSN
0197-9337
Statut éditorial
Publié
Date de publication
2005
Volume
30
Numéro
1
Pages
121-127
Notes
ISI:000226637000009
Résumé
The presence of fine sediment in river gravels is widely recognized as
being detrimental to salmonid habitat quality. In order to facilitate
quantification of sand presence at larger scales, this paper presents
an application of image processing allowing for rapid and accurate
assessments of superficial sand presence in dry exposed fluvial
gravels. Images for the process are acquired with a 35 mm SLR film
camera and then scanned with a desktop scanner. Texture-based
segmentation is then applied to differentiate between sand and clast
areas. Results show that the method is accurate and therefore it offers
an alternative to bulk sampling in cases where rapid assessments of
sand presence are required.
Web of science
Création de la notice
03/02/2011 15:41
Dernière modification de la notice
20/08/2019 17:25
Données d'usage