DocumentCode :
3157887
Title :
Grading System of the Meat Freshness Based on Plaque Characteristics
Author :
Guo Peiyuan ; Xiao Hongbing ; Yuan Fang
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 :
Based on mathematical morphology method, the paper analyzed and calculated plaque area in the image of plaque bacteria though taking Hough transform to extract complete outline of fat cells. TVB-N values in the process of pork Corruption is taken for a sequence of inputs of SOM neural network used for the cluster analysis of TVB-N values and dividing pork freshness to five classes. Complying with national standard and sensory test results, it achieve the results of the test to class the pork freshness.
Keywords :
Hough transforms; food products; mathematical morphology; neural nets; self-organising feature maps; Hough transform; SOM neural network; cluster analysis; fat cells; grading system; mathematical morphology; meat freshness; plaque bacteria; Animals; Educational institutions; Glass; Image analysis; Image edge detection; Image processing; Microorganisms; Morphology; Paper technology; Testing;
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
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5518320
Filename :
5518320
Link To Document :
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