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1/2014 vol. 59
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ORIGINAL PAPER
Use of information technology in the evaluation of contamination in flour
K, Szwedziak 1
,
 
M. Krótkiewicz 1
,
 
J. Królczyk 1
 
 
 
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Opole University of Technology (Politechnika Opolska), Department of Biosystems Engineering (Katedra Inżynierii Biosystemów), ul. Mikołajczyka 5, 45-271 Opole, Poland
 
 
Journal of Research and Applications in Agricultural Engineering 2014;59(1):121-125
 
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References (6)
 
KEYWORDS
image analysis
artificial neural network
quality assessment
pollution
grain mill product
image recognition
 
ABSTRACT
During the flour manufacturing process flour may be contaminated resulting in lower quality. Before placing a product in the commercial circulation flours are subjected to laboratory analysis, including in terms of product purity. This analysis is based on organoleptic determination (through visual inspection) of the amount of impurities in the flour and in the cereal products. This paper presents innovative techniques to assess quality in terms of pollution of flour using image analysis and artificial neural networks (ANN).
REFERENCES (6)
1.
Hebisz T.: Multimedia i grafika komputerowa. Modele barw. Institute of Control & Computation Engineering, Wrocław, 2003.
Google Scholar
 
 
2.
Koszela K., Weres J.: Analiza i klasyfikacja obrazów suszu warzywnego z wykorzystaniem sztucznych sieci neuronowych. Inżynieria Rolnicza, 2005, 2 (62), 77-82.
Google Scholar
 
 
3.
Malina W., Smiatacz M.: Metody cyfrowego przetwarzania obrazów. Akademicka Oficyna Wydawnicza Exit, 2005.
Google Scholar
 
 
4.
Mantiuk R.: Barwa w grafice komputerowej. Zakład grafiki komputerowej. Wrocław, 2006.
Google Scholar
 
 
5.
Tadeusiewicz R.: Elementarne wprowadzenie do technik sieci neuronowych z przykładowymi programami. Akademicka Oficyna Wydawnicza, Warszawa, 1997.
Google Scholar
 
 
6.
Zalewski R.I.: Zarządzanie jakością w zakładach przetwórstwa rolno-spożywczym. Dom Organizacyjny TNOiK. Toruń, 1998.
Google Scholar
 
 
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