USE OF IMAGE ANALYSIS IN THICKNESS PREDICTION OF THERMOFORMED PACKAGING

TITLE: USE OF IMAGE ANALYSIS IN THICKNESS PREDICTION OF THERMOFORMED PACKAGING
AUTHOR(S): O. Eksi, K. Feratoglu, S. Karabeyoglu
ABSTRACT: In this study, Image Analysis was used as a verification tool in thickness prediction of thermoformed packages. First, the thickness distribution of thermoformed packages in three different colours was obtained experimentally. Then, thickness variation was estimated using the light transmittance of thermoformed packages. Particularly, the light-transmitting side walls of the packaging were taken into consideration, and the thickness of the side walls was predicted. ImageJ, a Java-based, open-source Image Processing software, was used to generate thickness predictions. Predicted and obtained thickness values were compared to each other. Thickness values predicted by ImageJ, showed good agreement with the experimental results.
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DOWNLOAD: Vol72-2026.pdf
HOW TO CITE THIS ARTICLE: O. Eksi, K. Feratoglu, S. Karabeyoglu, USE OF IMAGE ANALYSIS IN THICKNESS PREDICTION OF THERMOFORMED PACKAGING. Journal of the Technical University of Gabrovo. 72 (2026).