DocumentCode
3147910
Title
Notice of Retraction
The Intellectual Detection and Classification Based on Neural Network for Freshness of Pork
Author
Guo Peiyuan ; Chen Tianhua ; Guannan Xu ; Xing Liu
Author_Institution
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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
food products; image fusion; inspection; neural nets; CCD photoelectric detection techniques; intellectual classification; intellectual detection; meat inspection classification identification; neural network; noncoherent multi-data fusion detection methods; pork freshness; Charge coupled devices; Computer networks; Connective tissue; Contamination; Digital images; Educational institutions; Inspection; Microorganisms; Neural networks; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Type
conf
DOI
10.1109/ICBBE.2010.5517831
Filename
5517831
Link To Document