Open AccessAn improved non-contact geometric parameter detection method for high-speed railway catenary
Author(s) -
Yang Ju
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1903/1/012075
Subject(s) - catenary , interference (communication) , compensation (psychology) , enhanced data rates for gsm evolution , edge detection , transformation (genetics) , pantograph , noise (video) , computer science , geometric modeling , vibration , geometric shape , algorithm , artificial intelligence , computer vision , mathematics , image (mathematics) , engineering , image processing , geometry , acoustics , mechanical engineering , psychology , computer network , channel (broadcasting) , biochemistry , chemistry , physics , psychoanalysis , gene
In order to improve the accuracy and anti-interference of non-contact geometric parameter detection of high-speed railway catenary, the geometric detection algorithm is modified, and an improved non-contact geometric parameter detection method of catenary is proposed. The image edge enhancement and noise filtering are realized by using the enhancement method based on curve transformation, and the image edge is accurately extracted by using SUSAN algorithm. At the same time, considering the influence of vehicle vibration, the vehicle vibration compensation correction is added to improve the accuracy of geometric parameter detection. The results shows that compared with the traditional geometric detection method, the anti-interference and accuracy of the improved algorithm have been improved, which has good practical application value.