Volume 5 Number 6 (Jun. 2010)
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JCP 2010 Vol.5(6): 893-900 ISSN: 1796-203X
doi: 10.4304/jcp.5.6.893-900

The Research of Image Collection Method for Sediment Online-Detection

Ying Xiao, Xuange Peng, Ming Leng, and Bing Zhu
Department of Computer, Jingganshan University. Ji’an, Jiangxi, 343009, China

Abstract—The water level and flow of middle and small rivers has been achieved online-monitoring. However, the sediment detection is still in the manual observation. We propose the sediment online-detection system of in flow-water based on image analysis. We capture the underwater images by special camera device, and then transmit images to monitoring centers through channel. Furthermore, we implement special video capture card to preprocess, segment, identify the hydrology image and calculate the sediment of sample. The characteristic of system is image segmentation algorithm based on a wavelet level Markov model, the multi-direction one-dimensional wavelet transformation microscopic image denoising algorithm. We build the preliminary model based on the feature analysis of image. The experiment shows that sediment detection system could get the sediment hydrological of middle and small rivers online and provides a theoretical basis for the sediment detection.

Index Terms—sediment concentration, image segmentation, image denoising, feature analysis, online detection

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Cite: Ying Xiao, Xuange Peng, Ming Leng, and Bing Zhu, " The Research of Image Collection Method for Sediment Online-Detection," Journal of Computers vol. 5, no. 6, pp. 893-900, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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