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Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review

1Bozok Üniversitesi, Boğazlıyan Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü 
2Kırıkkale Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü  
3Bozok Üniversitesi, Boğazlıyan Meslek Yüksekokulu, Gıda İşleme Bölümü 
✉ Corresponding author: Tolga Hayıt · tolga.hayit@bozok.edu.tr
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Abstract

In our global World, studies on food and food related-sectors, which are among the leading sectors in Turkey, continue to gain momentum to increase productivity and quality. In parallel, the developments in the information technology motivate researchers to gain innovative approaches in these fields. Today, in the food sector as in many other areas, the classification of products, the detection of defective products, the detection of non-product products are often solved using the human factor. However, many problems that can be solved using human visual sense can be solved more efficiently by means of a computer, which is known as the computer vision field. Computer vision offers automatic, harmless and low cost alternative techniques to verify that high quality and safety criteria are met in products. Today's image processing technology makes it possible, by reducing the human factor to the minimum, to increase the productivity and to reduce the cost. Moreover, some methods that cannot be used directly by human such as ultraviolet rays can be used by a computer to improve the product quality. In this study, some image processing applications used in the food sector were analyzed; the techniques used are examined.  

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Cite this article

Hayıt, T., Erbay, H., & Hayıt, F. (2018). Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review. In Ist International Symposium on Innovative Approaches in Scientific Studies (pp. 80). SET Technology.

Article History

Published
23 Jun 2018

License

© 2018 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide