no code implementations • 20 Jan 2022 • Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi
By introducing this dataset, we aim to facilitate the automatic segmentation of roots and the research of RSA with deep learning and other image analysis algorithms.
no code implementations • 30 Jul 2020 • Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger
The proposed approach outperforms other attention map and multiple instance learning methods for localization of root objects in minirhizotron imagery.
1 code implementation • 22 Mar 2019 • Weihuang Xu, Guohao Yu, Alina Zare, Brendan Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix B. Fritschi, Roser Matamala, Thomas E. Juenger
A key component of automated analysis of plant roots from imagery is the automated pixel-level segmentation of roots from their surrounding soil.
1 code implementation • 7 Mar 2019 • Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger
In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are proposed.