灌溉排水学报2025，Vol.44Issue(5)：47-56,10.DOI:10.13522/j.cnki.ggps.2024375
基于Canny-Hough的灌溉渠道边界快速检测算法研究
Applying Canny edge detection and Hough transform algorithms to identify irrigation channel boundaries in irrigation districts
摘要
Abstract
[Objective]Airborne technologies have been increasingly used in agricultural sectors for various purposes.In this paper,we developed a fast algorithm for accurately detecting irrigation channel boundaries to support intelligent water resource management in irrigation districts.[Method]Focusing on the boundary recognition of irrigation channels,unmanned aerial vehicles(UAVs)were used to collect high-resolution images of channels in the Dongshan River(Jurong)and Wuyou Port(Yancheng).The Canny edge detection algorithm was applied to extract edges,followed by the Hough transform to identify and segment channel boundary lines.A novel boundary classification method,based on reference lines and vertical distance metrics,was developed to distinguish channel boundaries.Linear and quadratic polynomial fitting techniques were used to evaluate the accuracy and stability of the extracted channel boundaries.[Result]Resizing the images to 800×400 pixels yielded optimal results,reducing detection time to less than 1.3 seconds while maintaining accurate representation of the channel boundaries.Quadratic polynomial fitting was more accurate than linear fitting in estimating the boundaries.For example,when fitting the straight boundary of the Jurong River,the R2 value was 0.959 2 for the quadratic model and 0.949 2 for the linear model.The quadratic fitting was also more robust in handling boundary noise caused by obstacles.The proposed method can effectively extract channel boundaries,with an R2 greater than 0.99 when using the quadratic fitting method.[Conclusion]Combining traditional Canny edge detection with the Hough transform,along with a grouping method based on reference lines and vertical distances,can rapidly and accurately identify boundaries in multiple channel detections.Our results demonstrate the feasibility of using machine vision techniques and airborne images to effectively and automatically monitor irrigation infrastructures.关键词
Canny/Hough/灌溉渠道/边界检测/无人机Key words
Canny/Hough/irrigation channels/boundary detection/UAV分类
农业工程引用本文复制引用
陆红飞,毛涵宇,周豪,甄博,仲瑶,杨泊..基于Canny-Hough的灌溉渠道边界快速检测算法研究[J].灌溉排水学报,2025,44(5):47-56,10.基金项目
农业农村部节水灌溉工程重点实验室开放课题(IFI2023KF02) （IFI2023KF02）
江苏农林职业技术学院科技计划项目(2022kj16) （2022kj16）
江苏农林职业技术学院"亚夫科技创新与服务"项目(2024kj05) （2024kj05）
