Abstract
Presents a new operator for selecting the contours of railway infrastructure objects in images. The study focuses on the development of successive stages of the algorithm, including smoothing with a Gaussian filter, adaptive partitioning to regions and image binarization, as well as suppression of non-contour elements. The operator demonstrates efficiency in improving the accuracy of contouring of railway objects such as trains, cars, platforms and signals. The proposed methods to process images, remove noise and select objects, thus increasing the overall quality of recognition. The simulation results show that the new operator contributes to a significant improvement in the accuracy of fault detection compared to alternative methods.
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