Title :
The Hydrological Sediment Detection System Based on Image Process
Author :
Peng, Xuange ; Zhu, Bing ; Huang, Chunying ; Zhou, Xuyan
Author_Institution :
Comput. Sci. Dept., Jinggangshan Univ., Ji´´an, China
Abstract :
We propose the hydrological sediment detection system based on image process. It consists of image collection subsystem, network transmission subsystem andARM-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 characteristic ofsystem is image segmentation algorithm based on a wavelet level Markov model and the multi-direction one-dimensional wavelet transformation microscopic image denoising algorithm. The experiment show that hydrological sediment detection system could get the sediment concentration of mountain rivers flow on-line.
Keywords :
Markov processes; geochemistry; geophysics computing; hydrological techniques; image processing; image segmentation; online operation; remote sensing; rivers; sediments; wavelet transforms; 1D wavelet transformation; ARM-based processing subsystem; Markov model; PXA270 processor; hydrological sediment detection system; hydrology analysis; image collection; image processing; image segmentation; microscopic image denoising algorithm; mountain river flow; network transmission subsystem; on-line technique; sediment concentration; wavelet level; Charge measurement; Current measurement; Fluid flow measurement; Hydrologic measurements; Image analysis; Image segmentation; Rivers; Sediments; Time measurement; Ultrasonic variables measurement;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.344
