Abstract
This paper discussed the low level machine vision on fruit and vegetable harvesting robot, introduced the recognition and location of fruit and vegetable objects under nature scenes, put forward a new segmentation method combined with several color models. What’s more, it presented a novel conception for the determination of the abscission point, successfully resolved the location of center and abscission point when the fruit were partially occluded. Meanwhile, by the technique of geometry, it settled the locations of the abscission point when the fruit grew askew. It proved good effect under the nature scene.
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© 2006 Springer-Verlag Berlin Heidelberg
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Gu, H., Lu, Y., Lou, J., Zhang, W. (2006). Recognition and Location of Fruit Objects Based on Machine Vision. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_81
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DOI: https://doi.org/10.1007/11941354_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49776-9
Online ISBN: 978-3-540-49779-0
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