Discerning of vegetable oil adulterated by animal fat using image texture analysis technology
  
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KeyWord:vegetable oil  adulteration  animal fat  cholesterol  texture analysis
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Author NameAffiliation
HE Peng  
WAN Xiaoqing  
JIAO Yingpu  
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Abstract:
      The texture frequency spectrum method,the fractal dimension,the improved Hu moment invariant and wavelet symbiotic matrix technology were adopted to extract image texture features,and the multiple linear regression equation between image texture features parameters and cholesterol content of the adulterated vegetable oil was established by least squares method. The results showed that the correlation between the image texture features parameters and cholesterol content was significant,and the correlation coefficient was above 0.95. The soybean oil adulterated by more than 8.5% of lard could be discerned by the method,and the maximum relative error of cholesterol content between calculated value by the method and measured value by national standard method(GB/T 15206—1994) was 5.75%,which indicated that the adulterated vegetable oil could be discerned by image texture analysis technology within the allowed error range.
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