Volume 6 Number 8 (Aug. 2011)
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JSW 2011 Vol.6(8): 1437-1444 ISSN: 1796-217X
doi: 10.4304/jsw.6.8.1437-1444

Algorithm for Detecting the Image of River Sediment Based on Hydrometric Cableway

Bing Zhu1, Xu-yan Zhou1, Bin Tan1, Xue-mou Liu2
1Jinggangshan University / school of Electronic and Information Engineering, Ji’an, Jiangxi ,China
2Ji’an Hydrological Bureau / Ji’an, jiangxi 343000, China, Ji’an, Jiangxi, China

Abstract—In order to solve the long period of drying method in river sediment conditions, an image acquisition device which installed in the lead fish existing in Cableway river is designed. This new device sinks into the pre-set the vertical position, when the computer of bank workstation issuing control commands, the camera in lead fish started to sample recording in the water, and image transfer to the image acquisition card, and then transmitted image data to the banks of workstations by the ARM. After denoising, segmentation, calculation and processing to images by computer in riparian workstation, the river sediment content is done. The measurement of the river sediment proposed by this paper is adequate for the lower detection (30kg/m3), and used in Ji’an Wu River hydrological station. Applying the presented method it is shown that comparing with traditional method the presented method has reduced in time 96% and compared with the drying method error of 1% -% 5, which meets hydrology and sediment survey. Although the method for larger sediment (100kg/m3) river sediment concentration measurements still short of expectations, but it can provide a reference for sand measuring.

Index Terms—sediment content, underwater camera, image processing


Cite: Bing Zhu, Xu-yan Zhou, Bin Tan, Xue-mou Liu, "Algorithm for Detecting the Image of River Sediment Based on Hydrometric Cableway," Journal of Software vol. 6, no. 8, pp. 1437-1444, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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