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Digital Image Analysis Method for Rapid Measurement of Rice Degree of Milling
Author(s) -
Liu W.,
Tao Y.,
Siebenmorgen T. J.,
Chen H.
Publication year - 1998
Publication title -
cereal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.558
H-Index - 100
eISSN - 1943-3638
pISSN - 0009-0352
DOI - 10.1094/cchem.1998.75.3.380
Subject(s) - digital image analysis , logarithm , computer image , digital image , image (mathematics) , chemistry , degree (music) , analytical chemistry (journal) , quadratic equation , biological system , digital image processing , quadratic model , image processing , mathematics , chromatography , response surface methodology , artificial intelligence , computer vision , mathematical analysis , computer science , physics , geometry , acoustics , biology
A digital image analysis method was developed to quickly and accurately measure the degree of milling (DOM) of rice. The digital image analysis method was statistically compared to a chemical analysis method for evaluating DOM, which consisted of measuring the surface lipids concentration (SLC) of milled rice. The surface lipid area percentage (SLAP) obtained by the image analysis method and the SLC obtained by chemical analysis had a high coefficient of determination using a quadratic model ( R 2 = 0.9819) and using a logarithmic model ( R 2 = 0.9703). The quadratic model and the logarithmic model were validated using the test data set and it received high coefficients of determination ( R 2 = 0.9502 and R 2 = 0.9459, respectively).