Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review
Tolga Hayıt1*, Hasan Erbay2, Fatma Hayıt3
1Bozok Üniversitesi, Boğazlıyan Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü , Yozgat, Turkey
2Kırıkkale Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü , Kırıkkale, Turkey
3Bozok Üniversitesi, Boğazlıyan Meslek Yüksekokulu, Gıda İşleme Bölümü , Yozgat, Turkey
* Corresponding author: tolga.hayit@bozok.edu.tr
Presented at the Ist International Symposium on Innovative Approaches in Scientific Studies (ISAS 2018), Kemer-Antalya, Turkey, Apr 11, 2018
SETSCI Conference Proceedings, 2018, 2, Page (s): 80-80
Published Date: 23 June 2018 | 1534 9
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.
Keywords - image processing, computer vision, food sector
References
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.