Fast recognition of multiple color targets of litchi image in field environment based on double otsu algorithm

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Volumn 45, Issue 4, 2014, Pages

  Peng, Hongxing ^a   Zou, Xiangjun ^a   Chen, Lijuan ^a   Xiong, Juntao ^a   Chen, Keyin ^a   Lin, Guichao ^a  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Double Otsu segmentation algorithm; Fuzzy C mean clustering; K means clustering; Litchi; Multiple target

Indexed keywords

COLOR; FILTER BANKS; IMAGE SEGMENTATION; MILITARY PHOTOGRAPHY; ROBOTS;

FUZZY C-MEAN CLUSTERING; K-MEANS CLUSTERING; LITCHI; MULTIPLE TARGETS; SEGMENTATION ALGORITHMS;

ALGORITHMS;

EID: 84900510882     PISSN: 10001298     EISSN: None     Source Type: Journal    
DOI: 10.6041/j.issn.1000-1298.2014.04.010     Document Type: Article

References (22)

1. Zou Xiangjun, Zou Haixin, Lu Jun. Virtual manipulator-based binocular stereo vision positioning system and errors modeling[J]. Machine Vision and Applications, 2012, 23(1): 43-63.
2. Lu Zhimao, Fan Dongmei, Chen Bingcai, et al. A data competition based clustering algorithm for large image segmentation[J]. Scientia Sinica: Informationis, 2012, 42(9): 1147-1157.(in Chinese)
3. Tsai Shun-Hung, Tseng Yu-Hsiang. A novel color detection method based on HSL color space for robotic soccer competition[J]. Computers and Mathematics with Applications, 2012, 64(5): 1291-1300.
4. Takahashi Koichi, Mitsukura Yasue. An entertainment robot based on head pose estimation and facial expression recognition[C]//Proceedings of SICE Annual Conference, 2012: 2057-2061.
5. Cao Wenming, Wang Yaonan, Yin Feng, et al. Research on obstacle recognition based on vision for deicing robot on high voltage transmission line[J]. Chinese Journal of Scientific Instrument, 2011, 32(9): 2049-2056.(in Chinese)
6. Wang Shilong, Xu Yuru, Wan Lei, et al. Fast fuzzy c-means algorithm based on entropy constraint for underwater image segmentation[J]. Computer Science, 2010, 37(12): 243-246, 286.(in Chinese)
7. Wang Shouzhi, He Dongjian, Li Wen, et al. Plant leaf disease recognition based on kernel K-means clustering algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(3): 152-155.(in Chinese)
8. Berenstein Ron, Shahar Ohad Ben, Shapiro Amir, et al. Grape clusters and foliage detection algorithms for autonomous selective vineyard sprayer[J]. Intelligent Service Robotics, 2010, 3(4): 233-243.
9. Xiong Juntao, Zou Xiangjun, Chen Lijuan, et al. Recognition of mature litchi in natural environment based on machine vision[J]. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(9): 162-166.(in Chinese)
10. Ji Wei, Zhao Dean, Cheng Fengyi, et al. Automatic recognition vision system guided for apple harvesting robot[J]. Computers & Electrical Engineering, 2012, 38(5): 1186-1195.
11. Zhang Tiezhong, Yang Li, Chen Bingqi, et al. Research progress of agricultural robot technology[J]. Scientia Sinica: Informationis, 2010, 40(Supp. 1): 71-87.(in Chinese)
12. Gong Qu, Ni Lin, Tang Pingfeng, et al. Fast three-dimensional Otsu image segmentation algorithm based on decomposition[J]. Journal of Computer Applications, 2012, 32(6): 1526-1528.(in Chinese)
13. Moghaddam Reza Farrah, Cheriet Mohamed. AdOtsu: An adaptive and parameterless generalization of Otsu's method for document image binarization[J]. Pattern Reconnition, 2012, 45(6): 2419-2431.
14. Nie Fangyan, Gao Chao, Guo Yongcai. Fast gray-level image segmentation based on two-dimensional minimum class variance with recursion and differential evolution[J]. Journal of Computer-aided Design & Computer Graphics, 2010, 22(11): 1866-1873.(in Chinese)
15. Chen Bin, Tian Qichuan. Improved fast adaptive Otsu segmentation algorithm & its application[J]. Application Research of Computers, 2012, 29(4): 1572-1574, 1597.(in Chinese)
16. Gao Jian, Wang Zhiliang, Liu Yanyun, et al. Development of OLED panel defect detection system through improved Otsu algorithm[C]//Intelligent Robotics and Applications: Part II: 5th International Conference, ICIRA 2012, LNAI7507, 2012: 127-134.
17. Chen Q, Zhao L, Lu J, et al. Modified two-dimensional Otsu image segmentation algorithm and fast realisation[J]. IET Image Processing, 2012, 6(4): 426-433.
18. Otsu N. A threshold selection method from gray-level histogram[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1): 62-66.
19. Chen Lijuan. Research on targets locating in natural environment based on machine vision[D]. Guangzhou: South China Agricultural University, 2012.(in Chinese)
20. Herrera P Javier, Pajares Gonzalo, Guijarro Maria. A segmentation method using Otsu and fuzzy K-means for stereovision matching in hemispherical images from forest environments[J]. Applied Soft Computing, 2011, 11(8): 4738-4747.
21. Xu Yongfeng, Jiang Zhenyi. A K-mean color image quantization method based on particle swarm optimization[J]. Journal of Northwest University: Natural Science Edition, 2012, 42(3): 351-354.(in Chinese)
22. Ji Zexuan, Chen Qiang, Sun Quansen, et al. Image segmentation with anisotropic weighted fuzzy C-means clustering[J]. Journal of Computer-aided Design & Computer Graphics, 2009, 21(10): 1451-1459, 1466.(in Chinese)