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图学学报

• 视觉与图像 • 上一篇    下一篇

数字水文图像中的水文尺分割方法

  

  1. 1. 天津市复杂系统控制理论及应用重点实验室,天津 300384;
    2. 天津理工大学自动化学院,天津 300384
  • 出版日期:2017-02-28 发布日期:2017-02-22
  • 基金资助:
    黑龙江省高等教育改革项目(JG2014010691);黑龙江省“十二五”高等教育科研课题(14G004)

Hydrological Ruler Segmentation in Digital Hydrological Image

  1. 1.Tianjin Key Laboratory for Control Theory & Applications in Complicated Industry Systems, Tianjin 300384, China;
    2. School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384, China
  • Online:2017-02-28 Published:2017-02-22

摘要: 针对水文监测时视频监视图像的信噪比较高,观测目标颜色特征明显以及目标区
域位置关系特定等特点,提出一种实用性强、受外界因素干扰小的水位读取方法。已知现场前
端摄像机拍摄内容固定、水文尺刻度颜色为红蓝两种颜色,根据水文尺特征颜色提取颜色分量
图片,经过自适应确定阈值对图片进行二值化、去噪、形态学处理,利用Hough 变换确定水文
尺边界,成功分割出水文尺。为之后通过边缘检测读取实时水位数据奠定基础。实验结果表明,
该方法能够准确有效地分割出目标区域。

关键词: 水位监测, 水文尺特性, 自适应阈值, Hough 变换, 图像分割

Abstract: To aim at the characteristics of the hydrological monitoring video images, such as the high
signal to noise ratio and the obvious color differences among targets and the specific location of target
regions, a water level reading method is proposed with strong practicability and little interference
from external factors. Due to the fixed content of cameras and only blue and red scales of
hydrological rulers, it extracts color components according to the characteristic color of the ruler.
After determining the adaptive threshold, the image is changed with the binary processing, denoised
and morphological processing. The ruler successfully is segmented using Hough transform to
determine the boundary of the hydrological ruler. All these work for reading real-time water level by
edge detecting. The experiment results show that this method can quickly segment and get the region
of interest efficiently.

 

Key words: water level monitoring, hydrological ruler characteristics, adaptive threshold, Hough
transform,
image segmentation