Robust Analysis and Laser Stripe Center Extraction for Rail Images
Source abstract
Abstract
In this paper, a novel method for the effective extraction of the light stripes in rail images is proposed. First, a preprocessing procedure that includes self-adaptive threshold segmentation and brightness enhancement is adopted to improve the quality of the rail image. Secondly, center of mass is utilized to detect the center point of each row of the image. Then, to speed up the procedure of centerline optimization, the detected center-points are segmented into several parts based on the geometry of the rail profile. Finally, piecewise fitting is adopted to obtain a smooth and robust centerline. The performance of this method is analyzed in detail, and experimental results show that the proposed method works well for rail images.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Remote Sensing and LiDAR Applications · Image and Object Detection Techniques · Advanced Measurement and Detection Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210066, China
Funding
National Key R&D Program of China · National Key R&D program of China · National Natural Science Foundation of China · Starting Fund for New Teachers of Nanjing University of Aeronautics and Astronautics
References (26)
Show source-provided references
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