基于图像处理的水位自动测量技术  

Research on Automatic Measurement Technology of Water Level Based on Image Processing

作　　者：王伟[1] 马福昌[1] 

机构地区：[1]太原理工大学测控技术研究所,太原030024

出　　处：《南水北调与水利科技》2012年第6期147-150,共4页South-to-North Water Transfers and Water Science & Technology

基　　金：教育部科学技术研究重点项目资助(210270)

摘　　要：采用ARM处理器与视频服务器相结合的方法,设计了一种实时水文监测系统,实现了在下位机中提取特征量,继而通过GPRS与上位机进行通讯。该系统利用Wince编程,对采集的图像进行二值化,再利用形态学算法去除非特征量,然后进行边缘细化,利用霍夫变换提取出水位线与河岸线的直线方程进行计算,依据像素间隔与坐标系数的换算关系,求得图像中两者之间的距离,最后利用像素间隔与实际物理坐标换算关系得到物理距离。实验结果表明,该系统具有抗噪、稳定、可靠和实时性强等特点,取得了很好的识别效果。A real-time hydrological monitoriug system was designed using the combination method of the ARM processor and video serv- er, which can realize the extraction of the characteristic values in the lower computer and the following communication with the upper computer through the GRPS. The system used the Wince programming to obtain the binarization of the collected image The morpholog-ical algorithm was employed to remove the noncharacteristic values and the edge of the image was also refined. The Hough transform was used to extract the linear equation of the water level and bankline. According to the conversion relationship between the pixel space and the coordinate coefficient, the distance between two points in the image can be obtained, which can be used to estimate the physical distance based on the above conversion relationship. The results showed that the system has the characteristics of noise resistance, stabil-ity and reliability, and strong real-time, which has good recognition effects.

关 键 词：图像处理 水位检测 霍夫变换 GPRS ARM 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]