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

Carbonneau, Patrice E.; Bergeron, Normand; Lane, Stuart N. (2005). Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels. Earth Surface Processes and Landforms , vol. 30 , nº 1. p. 121-127. DOI: 10.1002/esp.1140.

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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.

Type de document: Article
Mots-clés libres: image processing; image texture; gravel‐bed rivers; sand deposition
Centre: Centre Eau Terre Environnement
Date de dépôt: 08 janv. 2021 15:43
Dernière modification: 08 janv. 2021 15:43
URI: http://espace.inrs.ca/id/eprint/11013

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