Abstract
The article presents new algorithms for improving the segmentation of railway infrastructure images using logical operations. The main focus is on the development of efficient methods for highlighting objects, such as trains, wagons, platforms, and railway signals in images. The proposed methods helpmake it possible to efficiently process images by removing noise, highlighting objects, and improving the quality of recognition. The results of the experiments confirm that the new algorithms can achieve an improvement in accuracy by an average value of 18 % compared to the method of active contours method with wavelet by the Haar wavelet transformation and by 14 % compared to algorithms using keypoint selection.
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