DocumentCode :
2344480
Title :
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
Link To Document :
بازگشت