Apply image technology to river level estimation

Ming Tsung Yeh, Yun Jhong Hu, Chien Wen Lai, Chao Hsing Hsu, Yi Nung Chung

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper, an image based approach of the water flow information measurement is proposed. Applying the image based measurement is safely and efficiently non-contact method. This paper proposes the multiple virtual water level probes (MVWLP) method which can apply in any river environment without ruler where has regular water line on the embankment. This approach mainly applies the color space adjustable technique to reduce noises and uses the adaptive edge detection to extract the water line. Then, it sets some virtual probes on the discovered water line comparing with the preset probes to measure the current water level. We convince that the proposed methods are accurate, robust and adaptable enough to overcome multiple conditions presented in the sites.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages87-94
Number of pages8
DOIs
Publication statusPublished - 2017 Nov 1

Publication series

NameAdvances in Intelligent Systems and Computing
Volume536
ISSN (Print)2194-5357

Fingerprint

Water piping systems
Rivers
Water levels
Embankments
Edge detection
Color
Water

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Yeh, M. T., Hu, Y. J., Lai, C. W., Hsu, C. H., & Chung, Y. N. (2017). Apply image technology to river level estimation. In Advances in Intelligent Systems and Computing (pp. 87-94). (Advances in Intelligent Systems and Computing; Vol. 536). Springer Verlag. https://doi.org/10.1007/978-3-319-48490-7_11
Yeh, Ming Tsung ; Hu, Yun Jhong ; Lai, Chien Wen ; Hsu, Chao Hsing ; Chung, Yi Nung. / Apply image technology to river level estimation. Advances in Intelligent Systems and Computing. Springer Verlag, 2017. pp. 87-94 (Advances in Intelligent Systems and Computing).
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Yeh, MT, Hu, YJ, Lai, CW, Hsu, CH & Chung, YN 2017, Apply image technology to river level estimation. in Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol. 536, Springer Verlag, pp. 87-94. https://doi.org/10.1007/978-3-319-48490-7_11

Apply image technology to river level estimation. / Yeh, Ming Tsung; Hu, Yun Jhong; Lai, Chien Wen; Hsu, Chao Hsing; Chung, Yi Nung.

Advances in Intelligent Systems and Computing. Springer Verlag, 2017. p. 87-94 (Advances in Intelligent Systems and Computing; Vol. 536).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Yeh MT, Hu YJ, Lai CW, Hsu CH, Chung YN. Apply image technology to river level estimation. In Advances in Intelligent Systems and Computing. Springer Verlag. 2017. p. 87-94. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-48490-7_11