The Hydrological Sediment Detection System Based on Image Process

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.