Characterization of the Algal Colonization of Mortar Surfaces Using Image Analysis - Mines Saint-Étienne
Article Dans Une Revue Image Analysis & Stereology Année : 2024

Characterization of the Algal Colonization of Mortar Surfaces Using Image Analysis

Résumé

This research work aims to characterize the algal colonization of mortar surfaces using image analysis. Theresistance of mortars to the biofouling is studied by means of an accelerated lab-scale test. A suspension of green algae Klebsormidium flaccidum, was performed to periodically sprinkle the mortar surfaces and digitalimages were acquired thanks to a scanner. The colonization rate of the surface follows a sigmoid type curve asa function of time that can be modeled thanks to Avrami’s model. It is described by a two-process mechanism:attachment and growth of algal stains. To identify the parameters of the algal colonization model, the imageswere segmented thanks to a random forest algorithm to obtain pixel information on the presence of algae.These processes were then represented with a morphological min-tree and information such as the number ofnew germs or their growth have been exploited to feed the Avrami’s model. The results show a good agreementbetween the modeling and the experimental data.
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emse-04651900 , version 1 (17-07-2024)

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Juliette Hortemel, Sara Zaghloul, Alexandre Govin, Johan Debayle. Characterization of the Algal Colonization of Mortar Surfaces Using Image Analysis. Image Analysis & Stereology, 2024, 43 (2), pp.159 - 166. ⟨10.5566/ias.3165⟩. ⟨emse-04651900⟩
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