Title :
An intelligent method of detecting pork freshness based on digital image processing
Author :
Chang Huiyou ; Li Hao ; Hu Yongjun
Author_Institution :
Sch. of Software, Sun Yat-sen Univ., Guangzhou, China
Abstract :
In this paper, an improved pork freshness detecting method based on digital image processing and BP neutral network was presented. The shape of the slaughtering fresh pork cell was oval and smooth and it will change obviously in the process of pork corruption. The edge of cell will rupture and merge together until being absolutely misshapen. Seven characteristic parameters about cell shape would be extracted to stand for the level of corruption. And designs then correspond to the pork freshness standard TVB-N and characteristic parameters finally trained by BP neural network. The experimental results showed that the characteristic parameter about cell shape could detect the freshness effectively.
Keywords :
backpropagation; edge detection; food processing industry; food products; neural nets; production engineering computing; BP neural network; TVB-N; cell shape; digital image processing; intelligent method; pork corruption; pork freshness detection; slaughtering fresh pork cell; Biology; Business; Image edge detection; Microscopy; Nitrogen; BP nueral network; TVB-N; characteristic parameter; digital image processing; freshness detection;
Conference_Titel :
Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-7533-4
DOI :
10.1109/ICAIOT.2015.7111549