Three-dimensional shape measurement of strawberries by volume intersection method

Transactions of the ASABE

Volumn 49, Issue 2, 2006, Pages 449-456

  Imou, K ^a   Kaizu, Y ^a   Morita, M ^a   Yokoyama, S ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Laser scanner; Shape measurement; Strawberry; Volume intersection method

Indexed keywords

LASER SCANNER; SHAPE MEASUREMENT; STRAWBERRY; VOLUME INTERSECTION METHOD;

DATA ACQUISITION; ERROR ANALYSIS; HARVESTING; LASER APPLICATIONS;

FRUITS;

FRUIT PRODUCTION; HARVESTING; PACKING;

ERRORS; FRUITS; HARVESTING;

ASIA; EURASIA; FAR EAST; JAPAN;

FRAGARIA X ANANASSA;

EID: 33646827709     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Ahuja, N., and J. Veenstra. 1989. Generating octrees from object silhouettes in orthographic views. IEEE Trans. on Pattern Analysis and Machine Intelligence 11(2): 137-149.
2. Aleixos, N., J. Blasco, F. Navarro, and E. Molto. 2002. Multispectral inspection of citrus in real-time using machine vision and digital signal processors. Computers and Electronics in Agric. 33(2): 121-137.
3. Bato, M. P., M. Nagata, M. Mitarai, Q. Cao, K. Hiyoshi, and T. Kitahara. 2000. Study on sorting system for strawberry using machine vision (Part 2). J. Japanese Society of Agric. Machinery 62(2): 101-110.
4. Bottino, A., and A. Laurentini. 2001. Experimenting with nonintrusive motion capture in a virtual environment. The Visual Computer 17(1): 14-29.
5. Bottino, A., and A. Laurentini. 2003. Introducing a new problem: Shape-from-silhouette when the relative positions of the viewpoints is unknown. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(11): 1484-1493.
6. Brosnan, T., and D. W. Sun. 2002. Inspection and grading of agricultural and food products by computer vision systems: A review. Computers and Electronics in Agric. 36(2-3): 193-213.
7. Ghazanfari, A., J. Irudayaraj, and A. Kusalik. 1996. Grading pistachio nuts using a neural network approach. Trans. ASAE 39(6): 2319-2324.
8. Heinemann, P. H., R. Hughes, C. T. Morrow, H. J. Sommer, R. B. Beelman, and P. J. Wuest. 1994. Grading of mushrooms using a machine vision system. Trans. ASAE 37(5): 1671-1677.
9. Iiyama, M., Y. Kameda, and M. Minoh. 2003. 4pi measurement system: A complete volume reconstruction system for freely moving objects. In Proc. IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, 119-124. Piscataway, N.J.: IEEE.
10. Jahns, G., H. M. Nielsen, and W. Paul. 2001. Measuring image analysis attributes and modelling fuzzy consumer aspects for tomato quality grading. Computers and Electronics in Agric. 31(1): 17-29.
11. Katayama, T., K. Imou, T. Okamoto, Y. Kaizu, and K. Tsukano. 2003. Discrimination of strawberry class using 3D image processing. J. Japanese Society of Agric. Machinery 65(2): 71-76 (in Japanese).
12. Kim, Y. C., and J. K. Aggarwal. 1986. Rectangular parallelepiped coding: A volumetric representation of three-dimensional objects. IEEE J. Robotics and Automation RA-2(3): 127-134.
13. Kondo, N., K. Ninomiya, S. Hayashi, T. Ota, and K. Kubota. 2005. A new challenge of robot for harvesting strawberry grown on table top culture. ASAE Paper No. 053138. St. Joseph, Mich.: ASAE.
14. Laurentini, A. 1994. The visual hull concept for silhouette-based image understanding. IEEE Trans. on Pattern Analysis and Machine Intelligence 16(2): 150-162.
15. Laurentini, A. 1995. How far 3D shapes can be understood from 2D silhouettes. IEEE Trans. on Pattern Analysis and Machine Intelligence 17(2): 188-195.
16. Laurentini, A. 1996. Surface reconstruction accuracy for active volume intersection. Pattern Recognition Letters 17(12): 1285-1292.
17. Leemans, V., H. Magein, and M. F. Destain. 1999. Defect segmentation on 'Jonagold' apples using colour vision and a Bayesian classification method. Computers and Electronics in Agric. 23(1): 43-53.
18. Matsuda, I., H. Morishima, Y. Seo, and K. Imou. 1992. Studies on sorting of cucumber by image processing. J. Japanese Society of Agric. Machinery 54(3): 93-96 (in Japanese).
19. Matsuyarna, T., X. Wum, T. Takai, and T. Wada. 2004. Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video. IEEE Trans. on Circuits and Systems for Video Tech. 14(3): 357-369.
20. Miller, M. K., and M. J. Delwiche. 1989. A color vision system for peach grading. Trans. ASAE 32(4): 1484-1490.
21. Morimoto, T., T. Takeuchi, H. Miyata, and Y. Hashimoto. 2000. Pattern recognition of fruit shape based on the concept of chaos and neural networks. Computers and Electronics in Agric. 26(2): 171-186.
22. Nagata, M., Q. Cao, P. M. Bato, B. P. Shrestha, and O. Kinoshita. 1997. Basic study on strawberry sorting system in Japan. ASAE Paper No. 973095. St. Joseph, Mich.: ASAE.
23. Nagata, M., P. M. Bato, M. Mitarai, Q. Cao, and T. Kitahara. 2000. Study on sorting system for strawberry using machine vision (Part 1). J. Japanese Society of Agric. Machinery 62(1): 100-110.
24. Ninomiya, K., N. Kondo, V. K. Chong, and M. Monta. 2004. Machine vision systems of eggplant grading system. In Proc. Automation Technology for Off-Road Equipment Conference, 399-404. St. Joseph, Mich.: ASAE.
25. Noborio, H., S. Fukuda, and S. Arimoto. 1988 Construction of the octree approximating three-dimensional objects by using multiple views. IEEE Trans. on Pattern Analysis and Machine Intelligence 10(6): 769-782.
26. Rehkugler, G. E., and J. A. Throop. 1986. Apple sorting with machine vision. Trans. ASAE 29(5): 1388-1397.
27. Shanmukh, K., and A. K. Pujari. 1991. Volume intersection with optimal set of directions. Pattern Recognition Letters 12(3): 165-170.
28. Shearer, S. A., and F. A. Payne. 1990. Color and defect sorting of bell peppers using machine vision. Trans. ASAE 33(6): 2045-2050.
29. Takenaga, H. 1998. Strawberry harvesting robot for green house. In Proc. Japan Strawberry Seminar 1998 and Added Information, No. 7: 6-11 (in Japanese). Tokyo, Japan: The Chemical Daily.
30. Tao, Y., C. T. Morrow, P. H. Heinemann, and H. J. Sommer. 1995. Fourier-based separation techniques for shape grading of potatoes using machine vision. Trans. ASAE 38(3): 949-957.