Title :
Research on intellectual detection and classification of pork freshness based on SOM neural network
Author :
Peiyuan, Guo ; Yan, Fu ; Fang, Yuan ; Man, Bao
Author_Institution :
Sch. of Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
In this paper, CCD photoelectric detection techniques that can be characterized by a number of characteristics of fresh pork in the amount of testing, using digital image processing techniques to detect the characteristics of the amount of processing, the final study of using neural network technology micro-parameters of non-coherent multi-data fusion detection methods, in order to achieve the freshness of the meat inspection classification identification.
Keywords :
CCD image sensors; food products; food technology; image classification; image colour analysis; image fusion; inspection; production engineering computing; self-organising feature maps; CCD photoelectric detection; SOM neural network; digital image processing; intellectual detection; meat inspection classification identification; multidata fusion detection method; pork freshness classification; Arrays; Charge coupled devices; Gas detectors; Histograms; Image color analysis; Microorganisms; Standards; digital image processing; fresh classification; germ area; multi-data fusion; neural network;
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8113-2
DOI :
10.1109/ICMA.2011.5985742
