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基于U-net的水位线检测
引用本文:程淑红,赵考鹏,张仕军,张典范.基于U-net的水位线检测[J].计量学报,2019,40(3):361-366.
作者姓名:程淑红  赵考鹏  张仕军  张典范
作者单位:燕山大学电气工程学院,河北秦皇岛,066004;燕山大学科技园,河北秦皇岛,066004
基金项目:国家自然科学基金(61601400);河北省博士后基金(B2016003027);秦皇岛市科学技术研究与发展计划(201701B009)
摘    要:提出一种基于U-net水位线自动分割的新方法,并通过多种场景进行验证。首先标记出原始图像中的水和背景并对其灰度化;然后利用处理后的图像和原始图像制作出数据集,把数据集作为输入利用U-net对图像进行分割;最后将所有分割出来的图像进行边缘提取得到水位线。实验结果表明:U-net水位自动分割可以精确地标记出水位线,同时解决了在水位测量过程中图像背景所带来的影响,分割效果明显优于其它分割方法,识别率达到96%以上。

关 键 词:计量学  水位检测  数据集  U-net  分割  边界提取
收稿时间:2018-01-18

Water Level Detection Based On U-net
CHENG Shu-hong,ZHAO Kao-peng,ZHANG Shi-jun,ZHANG Dian-fan.Water Level Detection Based On U-net[J].Acta Metrologica Sinica,2019,40(3):361-366.
Authors:CHENG Shu-hong  ZHAO Kao-peng  ZHANG Shi-jun  ZHANG Dian-fan
Affiliation:1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Yanshan University Science Park, Qinhuangdao, Hebei 066004, China
Abstract:Based on U-net, a new method of automatic segmentation water level line is proposed and validated through a variety of scenarios. Firstly, the water and background in the original image are marked and grayscale. Then, the processed image and the original image are used to make the data set. The data set is used as the input to segment the image. Finally, all the segmented images are extracted to obtain the water level line. As the experimental results show that the automatic segmentation of U-net can accurately mark the water level and solve the influence of image background in the process of water level measurement. The recognition rate of U-net water level automatic segmentation method is above 96%, and the segmentation effect is better than other segmentation methods.
Keywords:metrology  water level detection  data set  U-net  segmentation  boundary extraction  
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