基于小波算法的中小河流泥沙含量检测研究  

THE SEDIMENT CONCENTRATION MEASUREMENT OF MIDDLE AND SMALL RIVER BASED ON WAVELET DENOISING ALGORITHM

作　　者：朱兵[1] 周旭艳[1] 彭宣戈[1] 康修洪 

机构地区：[1]井冈山大学信息科学与传媒学院,江西吉安343009 [2]吉安市水文局,江西吉安343000

出　　处：《井冈山大学学报（自然科学版）》2010年第2期50-55,共6页Journal of Jinggangshan University (Natural Science)

基　　金：江西省科技支撑计划项目(2008212-81)

摘　　要：利用计算机图像处理技术,对河流泥沙含量进行在线检测。利用水下摄像方法摄取过流断面影像信息素材后,利用小波算法对图像进行处理和分析,测量水体中泥沙颗粒的个数、每一泥沙颗粒形状和尺寸,进而得到水体中泥沙颗粒的总体积、总重量和单位体积的泥沙重,即河流在该点的含沙量。该方法将计算机图像识别技术与中小河流泥沙监测有机的结合起来,达到准确、动态、实时、在线跟踪河流泥沙含沙量的效果,为中小河流泥沙含沙量的检测开辟了新途径。Discusses the online inspection of the content of the river sediment in user of computer graphic processing technology.After using the submarine photograph method ingestion overflow cross section video information source material, carries on processing and the analysis using the wavelet denoising algorithm to the image, can measure the number of particles of sediment,sediment particle shape and size of each.Then we can get the total volume of sediment particles, the total weight and the weight of per unit volume of sediment, that is the sediment at the point of the rivers.This method is the computer image recognition technology and small river sediment monitoring technology combined organic,to achieve that accurate, dynamic, real-time, online tracking of the effects of river sediment sediment,opened the new way for the inspection of the content of the river sediment.

关 键 词：图像法 泥沙含量 小波算法 照明强度 水下摄像机 

分 类 号：O212.1[理学—概率论与数理统计]