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A New, Rapid, Interactive Image Analysis Method for Determining Physical Dimensions of Milled Rice Kernels
Author(s) -
GOODMAN D. E.,
RAO R. M.
Publication year - 1984
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.1984.tb12491.x
Subject(s) - image (mathematics) , reproducibility , sample (material) , measure (data warehouse) , computer science , artificial intelligence , dimension (graph theory) , pattern recognition (psychology) , microscope , image processing , computer vision , mathematics , biological system , statistics , data mining , chemistry , optics , chromatography , biology , physics , pure mathematics
A method was developed using Image Analysis technology whereby rice kernels may be classified in less than a third of the time required by conventional methods. Image Analysis permits the use of much greater number of kernels, providing a more representative measure of dimension while giving a better estimation of the actual sample variation among kernels. The Image Analysis method was found to compare very favorably with the conventional method using a Gaertner microscope and found to be superior to that using a projecting microscope. The reproducibility of the Image Analysis method was found to be better than ± 10%.