DetSegNet:一种基于检测和分割的高精度水尺水位检测网络  

DetSegNet:a high-precision water gauge level detection network based on detection and segmentation

作　　者：房爱印 王永贤 尹曦萌 王鹏 李忠义 刘志 FANG Aiyin;WANG Yongxian;YIN Ximeng;WANG Peng;LI Zhongyi;LIU Zhi(Inspur Intelligent Technology Co.,Ltd.,Ji’nan 250001,China;School of Cyberspace Security,Beijing University of Posts and Telecommunications,Beijing 100876,China;Jingying Shuzhi Technology Co.,Ltd.,Beijing 100088,China)

机构地区：[1]浪潮智慧科技有限公司,山东济南250001 [2]北京邮电大学网络空间安全学院,北京100876 [3]精英数智科技股份有限公司,北京100088

出　　处：《河海大学学报（自然科学版）》2024年第2期28-34,共7页Journal of Hohai University(Natural Sciences)

摘　　要：为了克服传统水位测量方法中水位边缘粗糙和检测精度不足的问题,提出了一种高精度的水尺水位检测网络——DetSegNet。DetSegNet在网络结构、损失函数等方面对YOLOv4和DeepLabv3+算法进行了改进,并将水尺刻度识别、水体区域分割、水位线检测和水位值计算等模块进行有效结合,实现了对水尺与水体交界区域的高效定位和精确分割。实验结果表明,DetSegNet在水尺图像数据集上的检测精度和速度均优于传统的检测方法;现场测试表明,DetSegNet的水位检测误差小于1 cm,满足水文监测的精度要求。To solve the problems of rough water-level edge and insufficient detection accuracy in existing algorithms,this paper proposes a high-accuracy water gauge level detection network,called DetSegNet.Unlike traditional methods that use a single network for the water gauge recognition and the water segmentation,DetSegNet innovates in the network structure,loss function,etc.,by improving the YOLOv4 and DeepLabv3+algorithms.It effectively integrates modules for water gauge scale recognition,water area segmentation,waterline detection,and water level calculation,achieving efficient localization and precise segmentation of the interface area between the water gauge and the water body.Experimental results show that DetSegNet surpasses existing algorithms in terms of detection accuracy and speed on water gauge image datasets.Field tests demonstrate that water level detection accuracy of this method is less than 1 cm,meeting the accuracy requirements of hydrological monitoring.

关 键 词：水位检测 深度学习 图像处理 YOLOv4算法 DeepLabv3+算法 

分 类 号：P332.3[天文地球—水文科学]