.png){kind=icon}
返回
Plant Root Phenotyping Using Deep Conditional GANs and Binary Semantic Segmentation
.png){kind=icon}
OA
AI
DOI：10.3390/s23010309.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper develops an approach to perform binary semantic segmentation on Arabidopsis thaliana root images for plant root phenotyping using a conditional generative adversarial network (cGAN) to address pixel-wise class imbalance. Specifically, we use Pix2PixHD, an image-to-image translation cGAN, to generate realistic and high resolution images of plant roots and annotations similar to the original dataset. Furthermore, we use our trained cGAN to triple the size of our original root dataset to reduce pixel-wise class imbalance. We then feed both the original and generated datasets into SegNet to semantically segment the root pixels from the background. Furthermore, we postprocess our segmentation results to close small, apparent gaps along the main and lateral roots. Lastly, we present a comparison of our binary semantic segmentation approach with the state-of-the-art in root segmentation. Our efforts demonstrate that cGAN can produce realistic and high resolution root images, reduce pixel-wise class imbalance, and our segmentation model yields high testing accuracy (of over 99%), low cross entropy error (of less than 2%), high Dice Score (of near 0.80), and low inference time for near real-time processing.
Keyword:
plant root phenotyping
deep learning
conditional generative adversarial networks
crop monitoring
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
分享收藏
Electrochemically assisted micro localized grafting of aptamers in a microchannel engraved in fluorinated thermoplastic polymer Dyneon THV.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏George Washington University Technique for Surgical Correction of Post-Prostatectomy Incontinence
PREAI
分享收藏Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A ReviewPLANT PHENOMICSOAAI
PLANT PHENOMICSIF6.4
OAAI分享收藏Is SA shared or distributed in team work? An exploratory study in an intelligence analysis task
PREAI
分享收藏
查看更多内容