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Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090112
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 1, 2018.
Abstract: Optical property, such as spectral reflectance, bidirectional reflectance distribution functions and polarization characteristics of dried seaweeds is clarified together with an attempt for transparent foreign matter detection considering optical property of dried seaweeds, such as spectral transparency, bidirectional reflectance and transparency as well as polarimetric properties. Through experiments, it is found that transparent foreign matter can be detected by using bidirectional reflectance distribution function as well as polarization characteristics.
Kohei Arai, “Method for Detection of Foreign Matters Contained in Dryed Nori (Seaweed) based on Optical Property” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090112