150
Views
4
CrossRef citations to date
0
Altmetric
Articles

Neural Network-based Classification of Germinated Hang Rice Using Image Processing

&

REFERENCES

  • S. Veluppillai, K. Nithyanantharajah, S. Asantharuba, S. Balakumar, and V. Arasaratnam, “Biochemical changes associated with geminating rice grains and germination improvement,” Rice Sci., Vol. 16, pp. 240–2, Sep. 2009. doi: 10.1016/S1672-6308(08)60085-2
  • M. Jinorose, S. Devahastin, A. Léonard, and S. Blacher, Advances in Food Dehydration. Boca Raton: CRC Press, 2009, pp. 63–95.
  • L. Zhao-yan, C. Fang, Y. Yi-bin, and R. Xiu-qin, “Identification of rice seed varieties using neural networks,” J. Zhejiang Univ. Sci., Vol. 11, pp. 1095–100, Nov. 2005.
  • B. Verma, “Image processing techniques for grading & classification of rice,” in Proceedings of International Conference on Computer& Communication Technology, Allahabad, Uttar Pradesh, India, 2010, pp. 220–3.
  • G. Van Dalan, “Determination of the size distribution and percentage of broken kernels of rice using flatbed scanning and image analysis,” Food Res. Int., Vol. 37, pp. 51–8, Jan. 2004. doi: 10.1016/j.foodres.2003.09.001
  • F. Courtois, M. Faessel, and C. Bonnazi, “Assessing breakage and cracks of parboiled rice kernels by image analysis technique,” Food Control, Vol. 21, pp. 567–72, Apr. 2010. doi: 10.1016/j.foodcont.2009.08.006
  • J. Liu, Z. Tang, Q. Chen, P. Xu, W. Liu, and J. Zhu, “Toward automated quality classification via statistical modeling of grain images for rice processing monitoring,” Int. J. Computl. Intell. Syst., Vol. 9, pp. 12–132, Jun 2015.
  • H. Hu, J. Zhang, X. Sun, and X. Zhang. “Estimation of leaf chlorophyll content of rice using image color analysis,” Can. J. Remote. Sens., Vol. 39, pp. 185–90, Jan 2013. doi: 10.5589/m13-026
  • V. R. Udupi, A. S. Raghavendra, and H. P. Inamdar, “Computer vision method for biomedical image analysis,” J. IETE Tech. Rev., Vol. 18, pp. 365–73, Mar 2001. doi: 10.1080/02564602.2001.11416985
  • J. Itsarawisut, and K. Kanjanawanishkul. “Neural network-based quality evaluation of germinated Hang rice.” KKU Eng. J., Vol. 43. No. S2, pp. 221–4, Jun. 2016.
  • M. Bello, M. P. Tolaba, and C. Suarez, “Factor affecting water uptake of rice grain during soaking,” LWT - Food Sci. Technol., Vol. 37, pp. 811–6, Dec. 2004. doi: 10.1016/j.lwt.2004.02.014
  • R. Garg, B. Mittal, and S. Garg, “Histogram equalization techniques for image enhancement,” Intl. J. Electron. Commun. Technol., Vol. 6, pp. 107–11, Mar. 2011.
  • M. Sezgin, and B. Sankur, “Survey over image thresholding techniques and quantitative performance evaluation,” J. Electron. Imaging, Vol. 13, pp. 146–65, Jan 2004. doi: 10.1117/1.1631315
  • J. Zhang, and T. Tan, “Brief review of invariant texture analysis methods,” Pattern Recogn., Vol. 35, pp. 735–47, Mar. 2002. doi: 10.1016/S0031-3203(01)00074-7
  • A. Suresh, and K. L. Shunmuganathan, “Image Texture Classification using Gray Level Co-occurrence Matrix Based Statistical Features,” Eur. J. Sci. Res., Vol. 75, pp. 591–7, Apr. 2012.
  • D. Gao, X. Wu, G. Shi, and L. Zhang, “Color demosaicking with an image formation model and adaptive PCA,” J. Vis. Commun. Image Represent., Vol. 23, pp. 1019–30, Oct. 2012. doi: 10.1016/j.jvcir.2012.06.009
  • C. Qin, X. Chen, D. Ye, J. Wang, and X. Sun. “A novel image hashing scheme with perceptual robustness using block truncation coding.” Inform. Sci., Vol. 361–362, pp. 84–99, May 2016. doi: 10.1016/j.ins.2016.04.036

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.