An Intelligent Method of Detecting Pork Freshness Based on Digital Image Processing

被引：0
|
作者：
Chang Huiyou [1 ]
Li Hao [2 ]
Hu Yongjun [2 ]
机构：
[1] Sun Yat Sen Univ, Sch Software, Guangzhou, Guangdong, Peoples R China
[2] Guangzhou Univ, Sun Yat Sen Univ, Sch Business, Sch Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTERNET OF THINGS | 2015年
关键词：
freshness detection; digital image processing; BP nueral network; characteristic parameter; TVB-N;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：107 / 110
页数：4
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