Research on Real-Time Visual Recognition Method of River Basin Boundary
In order to achieve the goal of fully automated unmanned flow measurement,real-time field data is now acquired by high-resolution video cameras.Based on the MATLAB platform,it conducts method research and experimental analysis for real-time visual recognition of river boundaries.In the research process,the research object is first preprocessed to obtain a grayscale image with preliminary noise reduction,then threshold segmentation is used for binarization,and then seed filling and math-ematical morphology operations are performed on the basis of the binary image.The edge features are continuous and obvious.Fi-nally,the canny operator is used to extract and refine the edge detection,and finally realize the real-time visual recognition of the water and land boundary of the river.The experimental results show that this method can effectively identify the boundary line of water and land under the complex interference of gravel,silt,river,sand,etc.,avoiding the disadvantages of manual visual rec-ognition and positioning of waterline in current flow measurement work,and is in order to realize fully automated measurement.Laying a solid foundation for flow can greatly reduce the investment of manpower and financial resources in the work of measur-ing flow in the river basin.
Fully Automated Flow MeasurementWater and Land BoundaryGray ScaleBinarizationMath-ematical MorphologyEdge Detectio
NETL
NSTL
万方数据
维普
