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Author: search.filters.author.Sumriddetchkajorn, SarunSubject: search.filters.subject.Polynomial function

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    Item type:Publication,
    Single-wavelength based thai jasmine rice identification with polynomial fitting function and neural network analysis
    (2013-09-18)
    Suwansukho, Kajpanya
    ;
    Sumriddetchkajorn, Sarun
    ;
    Buranasiri, Prathan
    We previously showed that a combination of image thresholding, chain coding, elliptic Fourier descriptors, and artificial neural network analysis provided a low false acceptance rate (FAR) and a false rejection rate (FRR) of 11.0% and 19.0%, respectively, in identify Thai jasmine rice from three unwanted rice varieties. In this work, we highlight that only a polynomial function fitting on the determined chain code and the neural network analysis are highly sufficient in obtaining a very low FAR of < 3.0% and a very low 0.3% FRR for the separation of Thai jasmine rice from Chainat 1 (CNT1), Prathumtani 1 (PTT1), and Hom-Pitsanulok (HPSL) rice varieties. With this proposed approach, the analytical time is tremendously suppressed from 4,250 seconds down to 2 seconds, implying extremely high potential in practical deployment. © 2013 SPIE.