DocumentCode
2782585
Title
Pattern recognition to lamb freshness based on much data merging
Author
Peiyuan, Guo ; Man, Bao
Author_Institution
Sch. of Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear
2011
fDate
7-10 Aug. 2011
Firstpage
1583
Lastpage
1587
Abstract
In this paper, digital image processing techniques to detect smell and PH value as well as surface color quality of lamb and other information was used. The article analyses and establishes multiple data fusion model with artificial neural network training. And designs finally corresponds to the lamb freshness standard TVB-N. Rapid and non-destructive testing of lamb freshness was researched.
Keywords
electronic noses; food products; image colour analysis; merging; neural nets; nondestructive testing; pH; pattern recognition; sensor fusion; PH value; artificial neural network training; data merging; digital image processing techniques; lamb freshness standard TVB-N; multiple data fusion model; nondestructive testing; smell detection; surface color quality; Artificial neural networks; Charge coupled devices; Image color analysis; Indexes; Time measurement; Training; Transforms; Identifying lamb freshness; Neural Network; Pattern-recognition; Photo-electricity measuring;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location
Beijing
ISSN
2152-7431
Print_ISBN
978-1-4244-8113-2
Type
conf
DOI
10.1109/ICMA.2011.5986230
Filename
5986230
Link To Document