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Determination of oil color by image analysis
Author(s) -
Fengxia Sun,
Dishun Zhao,
Zhanming Zhou
Publication year - 2001
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-001-0337-5
Subject(s) - hue , color image , artificial intelligence , color analysis , mathematics , computer vision , image (mathematics) , image processing , computer science
An image analysis method was developed to determine oil color based on Lovibond‐red according to Chinese standard GB5528‐85. For one hue, one feature of image analysis, a negative correlation with the red reading of the Lovibond tintometer ( r >0.995) was found. Mathematical models were designed to measure oil color based on image analysis. Fortynine oil samples including peanut oil, soybean oil, fragrant sesame oil, rapeseed oil and cottonseed oil were evaluated to assess the performance of the image analysis models. Good agreement, r 2 =0.999, between image analysis values and visual color measurement by using the Lovibond Color Scale was obtained.