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Contribution of image processing for analyzing the cellular structure of cork
Author(s) -
LagorceTachon Aurélie,
Mairesse Fabrice,
Karbowiak Thomas,
Gougeon Régis D.,
Bellat JeanPierre,
Sliwa Tadeusz,
Simon JeanMarc
Publication year - 2018
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2988
Subject(s) - cork , materials science , image processing , biological system , statistical analysis , composite material , computer science , mineralogy , image (mathematics) , artificial intelligence , mathematics , chemistry , statistics , biology
Abstract The alveolar structure of cork confers to this natural material specific physical properties such as low permeability to liquids and gases, advanced thermal and acoustic insulation, and high elasticity. In this paper, a morphological analysis of natural cork cells is presented including statistical distributions of structural quantities. These results were obtained from the study of scanning electron microscopy images of natural cork stoppers. After automation of the image processing analysis, the area and perimeter distributions were measured in different cork sections: axial, tangential, and radial. Perpendicular to the radial direction we also focused on growth rings, which are characterized by smaller cell sizes. This systematic image analysis offers new possibilities to investigate the material at the cell scale and provides useful statistical information about the cork structure.