Intelligent Image Monitoring of Metal Structure Crack of Anti-twist Joint of Helicopter
Regarding the obvious disadvantages of small cracks in the metal structure of the helicopter anti-twist joint by regular manual inspection,an automatic image monitoring method for the metal structure crack is designed.The image acquisition module is constructed to collect the metal structure image of the anti-twist joint of the helicopter at the appropriate position,the collected image is preprocessed,enhanced by gray stretching method,and the image noise is filtered by median filtering method to upgrade the image definition.he improved OTSU algorithm and Canny multi-scale spatial edge detection algorithm are used respectively to determine the maximum and minimum thresholds for crack judgment,and the candidate crack segment features are obtained.Tensor voting is applied to remove the discrete points in the extracted candidate crack segment features and connect the crack segments,so as to realize automatic image monitoring of the cracks.The experimental results show that the image preprocessing effect of the proposed method is more ideal with smaller extracted crack error and higher frame rate per second
helicopter anti twist jointcracks in metal structuresgray scale stretchingdouble threshold Canny operatortensioning voting
万方数据
维普
