eISSN: 2618-6446
Conferences Latest Issue Archive Future Issues About Us Journals

SETSCI - Volume (2018)
ISAS 2018 - Ist International Symposium on Innovative Approaches in Scientific Studies, Kemer-Antalya, Turkey, Apr 11, 2018

Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review (ISAS 2018_75)
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
Published Date: 2018-06-23   |   Page (s): 80-80   |    70     6

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

SET Technology - Turkey

eISSN  : 2618-6446

E-mail : info@set-science.com
+90 533 2245325

Tokat Technology Development Zone Gaziosmanpaşa University Taşlıçiftlik Campus, 60240 TOKAT-TURKEY
©2018 SET Technology