现代信息科技2025，Vol.9Issue(2)：12-15,4.DOI:10.19850/j.cnki.2096-4706.2025.02.003
基于改进Canny的水稻倒伏区域提取方法
Rice Lodging Region Extraction Method Based on Improved Canny
摘要
Abstract
In order to measure the yield and economic losses caused by crop lodging after disasters,an improved image edge detection technology is used to obtain the area of the lodging area.Based on the existing Canny operator edge detection,the median filtering is adopted to replace the Gaussian function for smoothing the image.Then,the adaptive dual threshold and the generalized chain are used to distinguish between true and false edge points and eliminate the false edge points.Finally,the edge straight lines are obtained through linear fitting and the Hough transform.Due to the obvious boundary phenomenon between the lodging area and the normal area and the increased features of the lodging texture,the lodging area can be accurately extracted.The experimental results show that the extraction errors of the lodging area in the five experimental plots are only 9.2%,9.4%,8.9%,7.9%,and 8.7%.关键词
倒伏作物/图像识别/边缘检测/改进CannyKey words
lodging crop/image recognition/edge detection/improved Canny分类
信息技术与安全科学引用本文复制引用
柴俊,王浩陈..基于改进Canny的水稻倒伏区域提取方法[J].现代信息科技,2025,9(2):12-15,4.基金项目
江苏省省重点研发计划产业前瞻性与共性关键技术重点项目(BE2018007) （BE2018007）
