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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Hyperspectral Imaging for Detecting Defect on ApplesPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Paper number 053075, 2005 ASAE Annual Meeting . (doi: 10.13031/2013.19079) @2005Authors: Kang-Jin Lee, Sukwon Kang, Moon S. Kim, Sang-Ha Noh Keywords: Hyperspectral Imaging, Apples, Defects, Wavelength Selection The reflectance spectra from the hyperspectral images of apples were used to find the optimal wavelengths to discriminate the defect region from the normal region. The optimal wavelength was selected from the correlation analysis between the band ratio or wavelength difference and target regions. The spectral images of selected wavelength were used to validate the correlation analysis. The correlation coefficient value using the band ratio at correlation analysis was 0.91 and the using the difference was 0.79. Thus, the correlation analysis method is feasible to select the wavelength to discriminate defects from normal regions. (Download PDF) (Export to EndNotes)
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