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

fYear

2011

fDate

7-10 Aug. 2011

Firstpage

676

Lastpage

680

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;

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.2011.5985742

Filename

5985742