论文信息 - Machine Learning for Maize Plant Segmentation

Machine Learning for Maize Plant Segmentation

High-throughput plant phenotyping platforms produce immense volumes of image data. Here, a binary segmentation of maize colour images is required for 3D reconstruction of plant structure and measurement of growth traits. To this end, we employ a convolutional neural network (CNN) to perform this segmentation successfully.

[1] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.

[2] Stephanie Powell,et al. Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures , 2008, NeuroImage.

[3] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.

[4] Quoc V. Le,et al. On optimization methods for deep learning , 2011, ICML.

[5] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.