Title :
Computer vision system for food quality evaluation — A review
Author :
Nandhini, P. ; Jaya, J. ; George, Jinto
Author_Institution :
Aksaya Coll. of Eng. & Technol., Coimbatore, India
Abstract :
This study aims at classifying the quality of food products based on the computer vision systems. In the present paper a review based on quality evaluation of few food materials like cauliflower, cereals, spinach leaves, tea, mango and various steps to find their quality based on their defects are described.
Keywords :
computer vision; food processing industry; food products; image classification; product quality; production engineering computing; cauliflower; cereals; computer vision systems; food defects; food materials; food products quality classification; food quality evaluation; mango; spinach leaves; tea; Computer Vision; Food Quality; food Materials;
Conference_Titel :
Current Trends in Engineering and Technology (ICCTET), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2583-4
DOI :
10.1109/ICCTET.2013.6675916
