Design of Sesame Peeling Machine and Performance Analysis with Threshold-Based Image Segmentation Technique

Yıl 2024, , 38 - 44, 30.06.2024

Ahmet Gündoğdu , Emrullah Acar , Reşat Çelikel

https://doi.org/10.36222/ejt.1448580

Öz

In this study, peeled sesame seeds were analyzed using a threshold-based image segmentation technique. Peeled sesame seeds were obtained from a sesame membrane
peeling machine whose design and production was carried out within the project's scope. By applying the image segmentation technique to the samples taken from the machine, the
machine's sesame peeling performance and sesame peeling percentage were determined. Automatic calculation of the peeled sesame weights in the image is presented by the
threshold-based image segmentation technique, which is one of the basic operations of digital image processing and is extensively employed in many application areas, including
extraction, detection, and identification of features. This technique aims to divide an image into meaningful regions according to a particular operation. Based on the results obtained
using the threshold-based image segmentation technique, the success achieved in the peeling process is 48%, 56%, 60% for periods of 60 min, 120 min, 180 min respectively. By using
the designed machine, the processing time of peeling sesame has been reduced by 75%, water consumption has been reduced by 90%, and salt use has been eliminated. Moreover, operating, personnel, and energy costs have been minimized.

Anahtar Kelimeler

Sesame, Sesame Peeling Machine, Machine Design, Image Processing

Destekleyen Kurum

Ministry of Science, Industry and Technology

Proje Numarası

0905.STZ.2015

Teşekkür

This study is supported by Ministry of Science, Industry and Technology/Turkey with 0905.STZ.2015 numbered project, titled “Design and Manufacture of Technological Sesame Peeling Machine”. Thanks for support.

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