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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8113-2
DOI :
10.1109/ICMA.2011.5986230
