Classification of Rice Appearance Quality Based on LS-SVM Using Machine Vision

Author:

Chen Xiai,Ke Shuang,Wang Ling,Xu Hong,Chen Wenquan

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Verma, B.: Image processing techniques for grading & classification of rice. In: 2010 International Conference on Computer and Communication Technology, pp. 220–223 (2010)

2. Yao, Q., Zhou, Y., Wang, J.: An automatic segmentation algorithm for touching rice grains images. In: 2010 International Conference on Audio Language and Image Processing, pp. 802–805 (2010)

3. Hobson, D.M., Carter, R.M., Yan, Y.: Characterisation and identification of rice grains through digital image analysis. In: Instrumentation and Measurement Technology Conference Proceedings 2007, pp. 1–5. IEEE Press, New York (2007)

4. Yao, M., Liu, M., Zheng, H.: Exterior quality inspection of rice based on computer vision. In: World Automation Congress 2010, pp. 369–374 (2010)

5. Suykens, J.A.K., Vandewalle, J.: Multiclass least squares support vector machines. In: International Joint Conference on Neural Networks, pp. 900–903 (1999)

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