Detecting beef and pork adulteration using principal component analysis
Principal Component Analysis (PCA) is proposed for the automatic detection of beef and pork adulteration images in this paper. The method is used for the feature extraction phase. Two database resources are used in the research. They are Kaggle database to obtain the beef and pork images and previou...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37031/1/Detecting%20beef%20and%20pork%20adulteration%20using%20principal%20component%20analysis.pdf http://umpir.ump.edu.my/id/eprint/37031/ https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files |
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Internet
http://umpir.ump.edu.my/id/eprint/37031/1/Detecting%20beef%20and%20pork%20adulteration%20using%20principal%20component%20analysis.pdfhttp://umpir.ump.edu.my/id/eprint/37031/
https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files