The online hydrological sediment detection system based on image process

Author

Xuange, Peng ; Ming, Leng ; Bing, Zhu ; Chunying, Huang ; Xuyan, Zhou

Author_Institution

Comput. Sci. Dept., Jinggangshan Univ., Ji´´an

fYear

2009

fDate

25-27 May 2009

Firstpage

3761

Lastpage

3764

Abstract

We propose the online hydrological sediment detection system based on image process. It consists of image collection subsystem, signal transport processing subsystem, network transmission subsystem and ARM-based processing subsystem based on PXA270 processor. The system´s configuration and structure is described. The system gets the image of mountain rivers flow section by using on-line technique and then proceed to hydrological analysis of sediment by the appropriate image algorithm. The multi-direction one-dimensional wavelet transformation microscopic image denoising algorithm. The experiment show that hydrological sediment detection system could get the sediment hydrological of mountain rivers flow on-line.

Keywords

geophysical signal processing; hydrological techniques; image denoising; wavelet transforms; ARM-based processing subsystem; PXA270 processor; image collection subsystem; image process; mountain river flow section; multi-direction image denoising algorithm; network transmission subsystem; one-dimensional image denoising algorithm; online hydrological sediment detection system; signal transport processing subsystem; wavelet transformation microscopic image denoising algorithm; Digital cameras; Frequency; Hydrologic measurements; Hydrology; Image analysis; Image segmentation; Noise reduction; Rivers; Sediments; Ultrasonic variables measurement; flow section; image denoising; image segmentation; sediment concentration;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138907

Filename

5138907