Jida, S. and Ouallal, H. and Aksasse, B. and Ouanan, M. and Amraoui, M.E. and Azrour, M. (2019) Clay-Based Brick Porosity Estimation Using Image Processing Techniques. Journal of Intelligent Systems.

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Abstract

This work intends to apprehend and emphasize the contribution of image-Processing techniques and computer vision in the treatment of clay-Based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with "kill or cure" effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-Based porosity estimation. ©2019 Walter de Gruyter GmbH, Berlin/Boston.

Item Type: Article
Uncontrolled Keywords: Clay products; Pore structure; Scanning electron microscopy, Clay-based materials; Image processing technique; Microscopic pore structures; Pore region; Porosity estimation; Scanning electron microscopy image; Voronoi diagrams, Porosity
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:45
URI: http://eprints.umi.ac.ma/id/eprint/2303

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