Research on Food Quality Anti-counterfeiting Detection Method Based on Fractional Calculus
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
In this work, the food samples of the functional food (Jiangzhong Hou Gu Mi Xi), Leshi potato chips, steamed cake (Gang Rong), small bread (Haushi Lactobacillus yoghurt) were studied, and the corresponding counterfeit samples were selected. The anti-counterfeiting detection of food quality was carried out by fractional calculus method. Ninety true and false samples were obtained in the market. The fractional differential operators and fractional derivatives of the functions were obtained by fractional calculus. The high frequency edge information of the original gray value of the two-dimensional food code was enhanced, while the distribution envelope of the gray histogram was maintained. The basic integrity of the texture details of the two-dimensional food code image was guaranteed so as to realize different analysis. The difference of fractional calculus between true and false two-dimensional codes of food. The results showed that the total initial detection accuracy of the fractional calculus method was as high as 95.56% in the initial classification detection and 88.89% in the cross-validation, which can provide technical support for anti-counterfeiting detection of food quality and provide a theoretical foundation for maintaining the market order of food quality.
