计算技术与自动化2025，Vol.44Issue(3)：117-122,6.DOI:10.16339/j.cnki.jsjsyzdh.202503021
基于红外图像边缘检测算法的风电机组叶片裂纹视觉检测技术
Visual Detection Technology for Wind Turbine Blade Cracks Based on Infrared Image Edge Detection Algorithm
摘要
Abstract
The non-destructive testing process of wind turbine blade damage is prone to external environmental interfer-ence,with poor detail processing effect and low F1 value.Therefore,a visual detection technology for wind turbine blade cracks based on infrared image edge detection algorithm is proposed.Transform the real-time collected infrared images of wind turbine blades into grayscale images,and then use a guided filter for linear shift filtering to obtain images with en-hanced edge details.Apply the maximum inter class variance method to select the optimal image segmentation threshold and segment the leaf target to be detected from the original image.Introducing the entropy partitioning algorithm and the optimal threshold selection algorithm,designing and improving an edge detection algorithm based on the improved Canny algorithm.Through automatic image segmentation,sub image high and low threshold calculation,and other operations,infrared image edge information is obtained.Based on this,features such as perimeter,major axis,and short axis of the blade crack image are extracted.Using the optimized support vector machine model using the improved firefly algorithm,further analyze the feature vectors and obtain the visual detection results of blade cracks.The experimental results show that the F1 value of the crack detection result obtained after the application of the new research technology exceeds 0.9,meeting the inspection re-quirements of wind turbines.关键词
红外图像/风电机组/叶片/边缘检测/裂纹检测/支持向量机Key words
infrared image/wind turbines/blades/edge detection/crack detection/support vector machine分类
信息技术与安全科学引用本文复制引用
杨德海..基于红外图像边缘检测算法的风电机组叶片裂纹视觉检测技术[J].计算技术与自动化,2025,44(3):117-122,6.基金项目
山东省工业和信息化厅技术创新项目(202350100992) （202350100992）
