Title :
Nondestructive assessment of beef-marbling grade using hyperspectral imaging technology
Author :
Li, Yongyu ; Shan, Jiajia ; Peng, Yankun ; Gao, Xiaodong
Author_Institution :
Coll. of Eng., China Agric. Univ., Beijing, China
Abstract :
The objective of this study was to assess the beef-marbling grade using hyperspectral imaging technology. A hyperspectral scanning imaging system was developed to collect hyperspectral images in the spectral region of 400-1100 nm. Original turned line-scanning hyperspectral images were transformed into three-dimensional spectral data with a computer program developed by authors. The maximal ratio of gray value of fat and lean in each band was used to select characteristic bands. As a result, the images at 530nm were used to differentiate beef-marbling. Three characteristic parameters were extracted, and used to establish prediction model by multiple linear regression (MLR) methods. The MLR model gave a good result with R2 = 0.92, SECV = 0.45. The research demonstrated that hyperspectral imaging technology is useful for nondestructive determination of beef marbling level.
Keywords :
food processing industry; food products; imaging; nondestructive testing; regression analysis; beef-marbling grade; hyperspectral imaging technology; hyperspectral scanning imaging system; line-scanning hyperspectral images; multiple linear regression; nondestructive assessment; three-dimensional spectral data; Cameras; Hyperspectral imaging; Lenses; Linear regression; Pixel; Reflectivity; Beef-marbling; hyperspectral imaging; nondestructive assessment;
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
DOI :
10.1109/ICAE.2011.5943908