참고문헌
- Bennedsen, B. S and D. L. Peterson. 2005. Performance of a system for apple surface defect identification in near-infrared images. Biosystems Engineering 90(4): 419-431. https://doi.org/10.1016/j.biosystemseng.2004.12.005
- Crowe, T. G and M. J. Delwiche. 1996. Real-time defect detection in fruit-Part I: Design concepts and development of prototype hardware. Transactions of the ASAE 39(6):2299-2308. https://doi.org/10.13031/2013.27740
- ElMasry, G., Wang, N., Vigneault, C., Qiao, J and A. ElSayed. 2008. Early detection of apple bruises on different background colors using hyperspectral imaging. LWTFood Science and Technology 41(2):337-345.
- Lee, K., Kang, S., Delwiche, S. R., Kim, M. S and S. H. Noh. 2008. Correlation analysis of hyperspectral imagery for multispectral wavelength selection for detection of defects on apples. Sensing and Instrumentation for Food Quality and Safety 2(2):90-96. https://doi.org/10.1007/s11694-008-9046-0
- Lee, H., Yang, C. C., Kim, M. S., Lim, J., Cho, B. K., Lefcourt, A., Chao, K and C. D. Everard. 2014. A simple multispectral imaging algorithm for detection of defects on red delicious apples. Journal of Biosytems Engineering 39(2):142-149. https://doi.org/10.5307/JBE.2014.39.2.142
- Lu, R. 2003. Detection of bruises on apples using nearinfrared hyperspectral imaging. Transactions-American Society of Agricultural Engineers 46(2):523-530.
- Lu, R. 2007. Nondestructive measurement of firmness and soluble solids content for apple fruit using hyperspectral scattering images. Sensing and Instrumentation for Food Quality and Safety 1(1):19-27. https://doi.org/10.1007/s11694-006-9002-9
- Rohr, A., Luddecke, K., Drusch, S., Muller, M. J and R. V. Alvensleben. 2005. Food quality and safety-consumer perception and public health concern. Food Control 16(8):649-655. https://doi.org/10.1016/j.foodcont.2004.06.001
- Throop, J. A and D. J. Aneshansley. 1997. Apple damage segmentation utilizing reflectance spectra of the defect. ASEA paper 97-3078. St. Joseph, MI: ASAE.
- Throop, J. A., Aneshansley, D. J and B. Anger. 2000. Multispectral inspection station detects defects on apples. In: Environmental and Industrial Sensing, pp. 37-46. Boston, MA: International Society for Optics and Photonics.
- Windham, W. R., Lawrence, K. C., Park, B and R. J. Buhr. 2003. Visible/NIR spectroscopy for characterizing fecal contamination of chicken carcasses. Transactions of the ASAE 46(3):747-751.
- Xing, J., Jancsok, P and J. Baerdemaeker. 2007. Stem-end/calyx identification on apples using contour analysis in multispectral images. Biosystems Engineering 96(2):231-237. https://doi.org/10.1016/j.biosystemseng.2006.10.018
- Xing, J., van Linden, V., Vanzeebroeck, M and J. Baerdemaeker. 2005. Bruise detection on Jonagold apples by visible and near-infrared spectroscopy. Food Control 16(4): 357-361. https://doi.org/10.1016/j.foodcont.2004.03.016
- Zhang, C., Chen, L., Huang, W., Guo, Z and Q. Wang. 2012. Apple stem-end/calyx identification using a specklearray encoding pattern. In Signal Processing (ICSP), 2012 IEEE 11th International Conference. Vol. 2, pp. 1110-1114. Beijing: IEEE.
피인용 문헌
- Image Processing Methods for Measurement of Lettuce Fresh Weight vol.40, pp.1, 2015, https://doi.org/10.5307/JBE.2015.40.1.089