Location of apples in trees using stereoscopic vision

Computers and Electronics in Agriculture

Volumn 112, Issue , 2015, Pages 68-74

  Si, Yongsheng ^a,b   Liu, Gang ^b   Feng, Juan ^a  

^a AGRICULTURAL UNIVERSITY OF HEBEI   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Fruit harvesting; Image segmentation; Machine vision; Random ring method; Stereo matching

Indexed keywords

ALGORITHMS; COLOR; COLORIMETRY; COMPUTER VISION; FRUITS; IMAGE MATCHING; IMAGE SEGMENTATION; MACHINE DESIGN; PIXELS; STEREO VISION;

CROSS-CORRELATION FUNCTION; FRUIT HARVESTING; MACHINE VISION SYSTEMS; ORDERING CONSTRAINTS; RECOGNITION ALGORITHM; RECOGNITION METHODS; RING METHOD; STEREO MATCHING;

STEREO IMAGE PROCESSING;

EID: 84940005762     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.01.010     Document Type: Article

References (30)

1. Arnold R.D., Binford T.O. Geometric constraints in stereo vision. Proc. SPIE 1980, 238:281-292.
2. Arnold, R.D., Binford T.O., 1980. Geometric constraints in stereo vision. In: Image Proceeding for Missile Guidance, pp. 281-292.
3. Batlle J., Mouaddib E., Salvi J. Recent progress in coded structured light as a technique to solve the correspondence problem: a survey. Pattern Recogn. 1998, 31(7):963-982.
4. Bulanon D.M., Kataokab T., Ota Y., et al. A segmentation algorithm for the automatic recognition of Fuji apples at harvest. Biosyst. Eng. 2002, 83(4):405-412.
5. Bulanon D.M., Kataoka T., Okamoto H., Hata S. Determining the 3-D location of the apple fruit during harvest. Proc. Automat. Technol. Off-Road Equip. 2004, 91-97.
6. Fujiura, T.S., Ueda, K.J., Chung, S.H., et al., 2000. Vision system for cucumber-harvesting robot. In: Bio-robotics II, 3rd IFAC International Workshop on Bio-Robotics, Information Technology and Intelligent Control for Bioproduction Systems, Osaka, Japan, November 25-26.
7. Hannan Michael, W., Burks, Thomas F., 2004. Current developments in automated citrus harvesting. In: ASAE/CSAE Meeting, 2004, Paper No. 043087.
8. Harrell R.C., Adsit P.D., Munilla R.D., Slaughter D.C. Robotica 1990, 8:269-278.
9. Hayashi Shigehiko, Ganno Katsunobu, Ishii Yukitsugu, et al. Robotic harvesting system for eggplants. JARQ 2002, 36(3):163-168.
10. Jiménez A.R., Ceres R., Pons J.L. A vision system based on a laser range-finder applied to robotic fruit harvesting. Mach. Vis. Appl. 2000, 11(6):321-329.
11. Kanade, T., Okutomi, M., Nakahara, T., 1992. A multiple-baseline stereo method. In: Proceedings of the 1992 DARPA Image Understanding Workshop, pp. 409-426.
12. Kawamura N., et al. Study on agricultural robot (Part 1) microcomputer-controlled manipulator system for fruit harvesting. J. Jpn. Soc. Agric. Mach. 1984, 46(3):353-358. (In Japanese with English summary).
13. Kelman Eliyahu (Efim), Linker Raphael Vision-based localisation of mature apples in tree images using convexity. Biosyst. Eng. 2014, 118:174-185.
14. Kolmogorov, V., Zabih, R., 2001. Computing visual correspondence with occlusions via graph cuts. In: Proc. Int'l Conf. Computer Vision, vol. II, pp. 508-515.
15. Kondo, Naoshi, Ting, K.C., 1998. Robotics for Bioproduction Systems.
16. Kondo, N., Shibano, Y., Mohri, K., Fujiura, T., Monta, M., 1992. Request to cultivation method from tomato harvesting robot. In: International Symposium on Transplant Production Systems, vol. 319. Yokohama, Japan, 21-26 July.
17. Kondo, Naoshi, Yamamoto, Kazuya, Yata, Koki, Kurita, Mitsutaka, 2008. A machine vision for tomato cluster harvesting robot. In: An ASABE Meeting Presentation, Paper Number: 084044.
18. Li P., Lee S., Hsu Y.Y. Review on fruit harvesting method for potential use of automatic fruit harvesting systems. Proc. Eng. 2011, 23:351-366.
19. Plebe Alessio, Grasso Giorgio Localization of spherical fruits for robotic harvesting. Mach. Vis. Appl. 2001, 13:70-79.
20. Safren O., Alchanatis V., Ostrovsky V., Levi O. Detection of green apples in hyperspectral images of apple-tree foliage using machine vision. Trans. ASABE 2007, 50(6):2303-2313.
21. Slaughter David C., Harrell Roy C. Color vision in robotic fruit harvesting. Trans. ASABE 1987, 30(4):1144-1148.
22. Song, B., Bursalioglu, O., Roy-Chowdhury, A., Tuncel, E., 2006. Towards a multiterminal video compression algorithm using epipolar geometry. In: Proc. IEEE Int. Conf. Acoust., Speech Signal Processing, Toulouse, France, pp. II-49-II-52.
23. Subrata I.D.M., Fujiura T.S., Nakao S.J., et al. 3-D vision sensor for cherry tomato harvesting robot. Jpn. Agric. Res. Q. 1997, 31(4).
24. Sun, M., Takahashi, T., Fukuchi, H., Zhang, S., 1994. Existing State and Problem of Development for Robotics of Fruit Harvesting. Tohoku Branch Report of the Japanese Society of Agricultural Machinery, No. 41, pp. 23-28 (in Japanese).
25. Tanigaki K., Fujiura T., Akase A., Imagawa J. Cherry-harvesting robot. Comput. Electron. Agric. 2008, 63(1):65-72.
26. Tarrío, Paula, Ana, M., Bernardos, José, R., 2006. A harvesting robot for small fruit in bunches based on 3-D stereoscopic vision. In: Computers in Agriculture and Natural Resources, 4th World Congress Conference, ASABE Publication No. 701P0606.
27. Ting Yuan, Wei Li, Yuzhi Tan, et al. Information acquisition for cucumber harvesting robot in greenhouse. Trans. Chin. Soc. Agric. Machinery 2009, 40(10):151-155.
28. Van Henten E.J., Hemming J., Van Tuijl B.A.J., et al. An autonomous robot for harvesting cucumbers in greenhouses. Autonomous Robots 2002, 13:241-258.
29. Van Willigenburg L.G., Hol C.W.J., Van Henten E.J. On-line near minimum-time path planning and control of an industrial robot picking fruits. Comput. Electron. Agric. 2004, 44:223-237.
30. Yaqin Wang, Hua Gao Study on the segmentation and orientation of fruit image under natural environment. Comput. Eng. 2004, 30(13):128-129. in Chinese.