DocumentCode
2195424
Title
Research of Image Acquisition Device for River Sediment
Author
Peng Xuange ; Xiao Ying ; Zhu Bing
Author_Institution
Sch. of Inf. Sci. & Commun., Jinggangshan Univ., Ji´an, China
fYear
2010
fDate
2-4 April 2010
Firstpage
771
Lastpage
776
Abstract
In this paper, we propose an on-line detective technique of river sediment measurement based on image processing. The first step of the detective technique is to get the river sediment by sinking the underwater camera equipment into the designated section using the existing hydrology cableway in river hydrological stations. After the workstation computer sends control command to the underwater camera, the camera starts to photo the thin-layer of sediment flow, and transfers the image data to river hydrological station through collecting card based on ARM. The workstation computer de-noise, segment, calculate and statistic each section images so as to obtain the whole river sediment. Furthermore, we analyze the image acquisition influences of these factors, such as underwater light resource, underwater object brightness test, water path brightness and water object image expressing degree. Finally, we implement a river sediment image acquisition system. The experiments show the image acquisition device of river sediment provides images suitable for image processing, which is a foundation to achieve the application of image processing in the online detective measurement of river sediment.
Keywords
data acquisition; geophysics computing; hydrology; image denoising; image segmentation; statistics; hydrology cableway; image acquisition device; image calculation; image denoising; image processing; image segmentation; image statistics; online detective technique; river sediment; underwater camera equipment; underwater light resource; underwater object brightness test; water object image expressing degree; water path brightness; Brightness; Cameras; Hydrologic measurements; Hydrology; Image processing; Rivers; Sediments; Underwater tracking; Water resources; Workstations; detection device; image acquisition; river sediment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location
Jinggangshan
Print_ISBN
978-1-4244-6730-3
Electronic_ISBN
978-1-4244-6743-3
Type
conf
DOI
10.1109/IITSI.2010.162
Filename
5453734
Link To Document