Title :
Analytical imaging of bacteria in foodstuff
Author :
Saenko, Alexey ; Lerm, Steffen ; Musalimov, Victor
Author_Institution :
Mechatron. Dept., Nat. Res. Univ. of Inf. Technol., Mech. & Opt., St. Petersburg, Russia
Abstract :
The paper is dedicated to the problem of the quality assurance of foodstuff and particularly bacteria detection in liquid exudes. It demonstates disadvantages of the existing methods and suggests a new method based on the image processing and machine learning techniques. The principal component analysis shows that this problem is quite hard for existing algorithms. Also the usage of a few classifiers is considered and the evaluation of their effectiveness is shown.
Keywords :
image processing; learning (artificial intelligence); analytical imaging; bacteria detection; foodstuff; image processing; machine learning techniques; quality assurance; Algorithm design and analysis; Feature extraction; Liquids; Machine learning algorithms; Microorganisms; Quality assurance; bacteria detection; data mining; image processing;
Conference_Titel :
Communications (COMM), 2014 10th International Conference on
Conference_Location :
Bucharest
DOI :
10.1109/ICComm.2014.6866672
