Open Access
Issue |
MATEC Web of Conferences
Volume 31, 2015
2015 7th International Conference on Mechanical and Electronics Engineering (ICMEE 2015)
|
|
---|---|---|
Article Number | 15003 | |
Number of page(s) | 5 | |
Section | Image processing and application | |
DOI | https://doi.org/10.1051/matecconf/20153115003 | |
Published online | 23 November 2015 |
- Zhang Dequan, Qijun. Ai Vegetable deep manufacturing technology[M].Beijing: Publishing House of Chemistry Industry, 2003, 1, 378–378. [Google Scholar]
- Wu jie editor, Dehydrated food manufacture technique and prescription [M].Beijing: Publishing House of Science and Technology, 2002, 2, 73–74. [Google Scholar]
- YingYi-bin, Cheng Fang, Ma Jun-fu. Real-time Size Inspection of Citrus with Minimum Enclosing Rectangle Method [J]. Biomathematics, 2004, 19(3):352–356. (in Chinese with English abstract) [Google Scholar]
- Lin Kaiyan, Wu Junhui, Xu Lihong. Separation Approach for Shape Grading of Fruits Using Computer Vision [J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(6):71–74. (in Chinese with English abstract) [Google Scholar]
- Zhang Cheng-Hui, Liu Mu-Hua, Han Dong-Ha. A Study on Picture Processing Technology for Rambutan External Dimensions [J]. Acta Agriculturae Universitatis Jiangxiensis, 2006, 28(2):300–303. (in Chinese with English abstract) [Google Scholar]
- Johanna Torppa, Jari P.T. Valkonen, Karri Muinonen. Three-dimensional Stochastic Shape Modelling for Potato Tubers[J]. Potato Research, 2006, 49:109–118. [Google Scholar]
- Xiong Lirong, Chen Hong, Zhang Jun. Peanut improvement based on machine vision test[J]. Grain and oil processing, 2007, 3: 71- 74. [Google Scholar]
- Wu Yanping, Bao Yidan, He Yong. Nondestructive detection method in soybean moisture content based on BP neural network[J]. Agricultural Mechanization Research, 2007, 2, 126–129. [Google Scholar]
- ZB B23008-85. People’s Republic of China Specialty Standard. [Google Scholar]
- Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry, 2006, 2, 482–483. [Google Scholar]
- Ng H.F. Automatic thresholding for defect detection. Pattern Recognition Letters, 2006, 1644–1649. [CrossRef] [Google Scholar]
- Qiu Mao Lin, Ma Songde, Li Yi. Overview of Camera Calibration for Computer Vision [J]. Acta Automatica Sinica, 2000(1):43–55. (in Chinese with English abstract) [Google Scholar]
- Xu Xin-Kai. Application of Technology for Computer Vision in Plants Shape Measurement [D]. Beijing: Capital Normal University, a Master’s Degree Thesis, 2005. (in Chinese with English abstract) [Google Scholar]
- Ying Yibin, Jing Hansong, Ma Junfu, et al. Application of Machine Vision to Detecting Size and Surface Defect of Huanghua Pear [J]. Transactions of the CSAE, 1999,15(1):197–200. (in Chinese with English abstract) [Google Scholar]
- Wu Zhen-Feng, Zuo Hong-Fu, Yang Zhong. The Quantification Character Parameter System of Debris Micrography [J]. Journal of Traffic and Transportation Engineering, 2001,1(1):115–119. (in Chinese with English abstract) [Google Scholar]
- Tang Yi, Zheng Limin, Ren Fazheng, et al. Study on Automatic Location for Interested Region of Image Based on Geometrical Features [J]. Computer Engineering, 2007,33(1):200–203. (in Chinese with English abstract) [Google Scholar]
- Potato Research Institute of Heilongjiang Academy of Agricultural Sciences. Potato Cultivation Studies in China[M]. Beijing, Chinese Agriculture Press, 1994: 394–408. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.