Rosette plant segmentation with leaf count using orthogonal transform and deep convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
http://link.springer.com/content/pdf/10.1007/s00138-019-01056-2.pdf
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3. Aich, S., Stavness, I.: Leaf counting with deep convolutional and deconvolutional networks. In: Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 22–29, Venice, Italy (2017)
4. An, N., Palmer, C.M., Baker, R.L., Markelz, R.J.C., Ta, J., Covington, M.F., Maloof, J.N., Welch, S.M., Weinig, C.: Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area. Comput. Electron. Agric. 127, 376–394 (2016)
5. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2011)
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