Research of apple harvesting robot based on least square support vector machine

Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010

Volumn , Issue , 2010, Pages 1590-1593

  Kong, De Yuan ^a   Zhao, De An ^a   Zhang, Ying ^a   Wang, Jin Jing ^a   Zhang, Hai Xia ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Binocular vision; Camera libration; Harvesting robot; Image segmentation; LS SVM

Indexed keywords

ACCURACY RATE; CAMERA CALIBRATION; CLOSING OPERATION; COLOR MODELS; FEATURE VECTORS; FRUIT RECOGNITION; HARVESTING ROBOT; INPUT AND OUTPUTS; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARES SUPPORT VECTOR MACHINES; LOCATION INFORMATION; LS-SVM; NON-LINEAR MODEL; RUNNING TIME; SHAPE FEATURES; SPATIAL LOCATION; STEREO VISION SYSTEM; VECTOR MEDIAN; WORLD COORDINATES;

BINOCULAR VISION; CALIBRATION; CAMERAS; COMPUTER VISION; ELECTRICAL ENGINEERING; FRUITS; HARVESTING; IMAGE SEGMENTATION; ROBOTS; SUPPORT VECTOR MACHINES; VECTORS;

STEREO VISION;

EID: 79952206319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iCECE.2010.391     Document Type: Conference Paper

References (9)

1. D.M. Bulanon, T. Kataoka, and H. Ukamoto. Development of a real-time machine vision system for the apple harvesting robot C. SICE Annual Conference, Sapporo, 2004
2. J.W. Zhao, M.H. Liu and G.B. Yan. Discrimination of mature tomato based on HIS color space in natural outdoor scenes J, Transactions of the Chinese Society for Agricultural Machinery, 2004, 35 (9): 122-124, 135
3. J. Song, T.Z. Zhang, and L.M. Xu, Research actuality and prospect of picking robot for fruits and vegetables J. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(5):158-162 (Pubitemid 43852470)
4. VAPNIKV. The Nature of Statistical Learning Theory [M]. NY: Springer Verlag, 1995
5. R.Y. Tsai, An efficient and accurate camera calibration technique for 3D machine vision J. In: Proc. CVCR'86.364-374
6. Z.Y. Zhang, A Flexible New Technique for Camera Calibration J. Opt. SOC. Am. A, 1995, 12(3):465-485
7. T. Michaelg, Madden the Genetic Kernek Support Vector Machine: Description and Evaluation J, Artificial Intelligence Review, 2005.10
8. R.S Wang, Image Understanding M, Changsha: University of Defense Technology Press, 1998.10
9. J.J. Wang, D.A. Zhao and W. Ji, Application of support vector machine to apple recognition using in apple harvesting robot J, Information and Automation, 2009.6:1110-1115