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Image-Based Detecting the Level of Water Using Dictionary Learning

  • Jinqiu Pan
  • Yaping Fan
  • Heng DongEmail author
  • Shangang Fan
  • Jian Xiong
  • Guan Gui
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

This paper proposes a novel method to detect the water level of a river or reservoir. Images of the ruler which is used to measure the water level are obtained easily from a camera installed on the bank. Based on the property of the images captured by the camera, the problem of water level calculation can be transformed to the problem of classifying each image into two classes of ruler and water. As dictionary learning model has shown, its ability and efficiency in image classification problems, it is utilized in this paper to solve the problem of water level detection.

Keywords

Water level detection Dictionary learning Image classification 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jinqiu Pan
    • 1
  • Yaping Fan
    • 1
  • Heng Dong
    • 1
    Email author
  • Shangang Fan
    • 1
  • Jian Xiong
    • 1
  • Guan Gui
    • 1
  1. 1.College of Telecommunication and Information EngineeringNanjing University of Posts and TelecommunicationsNanjingChina

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