Unsupervised Segmentation of Greenhouse Plant Images Based on Statistical Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-22568-3.pdf
Reference28 articles.
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2. Dong, P. & Wang, X. Recognition of greenhouse cucumber disease based on image processing technology. Open Journal of Applied Sciences 3, 27–31, https://doi.org/10.4236/ojapps.2013.31B006 (2013).
3. Ma, J. et al. A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing. Computers and Electronics in Agriculture 142, 110–117, https://doi.org/10.1016/j.compag.2017.08.023 (2017).
4. Scharr, H. et al. Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications 27, 585–606, https://doi.org/10.1007/s00138-015-0737-3 (2016).
5. Busemeyer, L. et al. Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation. Scientific Reports 3, 2442, https://doi.org/10.1038/srep02442 (2013).
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