%0 Figure %A Xiong, Xiong %A Duan, Lingfeng %A Liu, Lingbo %A Tu, Haifu %A Yang, Peng %A Wu, Dan %A Chen, Guoxing %A Xiong, Lizhong %A Yang, Wanneng %A Liu, Qian %D 2017 %T MOESM5 of Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization %U https://springernature.figshare.com/articles/figure/MOESM5_of_Panicle-SEG_a_robust_image_segmentation_method_for_rice_panicles_in_the_field_based_on_deep_learning_and_superpixel_optimization/5639569 %R 10.6084/m9.figshare.5639569.v1 %2 https://springernature.figshare.com/ndownloader/files/9825949 %K Rice (O. sativa) panicles %K Image segmentation %K Deep learning %K Convolutional neural network %K Superpixel %X Additional file 5: Figure S1. Different regions in the field plot image have different illumination condition. %I figshare