Railway inspection is an important task in railway maintenance to ensure safety. The fastener is a major part of the railway which fastens the tracks to the ground. The current article presents an efficient method to detect fasteners on the basis of image processing and pattern recognition techniques, which can be used to detect the absence of fasteners on the corresponding track in high-speed(up to 400 km/h). The Direction Field is extracted as the feature descriptor for recognition. In addition, the appropriate weight coefficient matrix is presented for robust and rapid matching in a complex environment. Experimental results are presented to show that the proposed method is computation efficient and robust for the detection of fasteners in a complex environment. Through the practical device fixed on the track inspection train, enough fastener samples are obtained, and the feasibility of the method is verified at 400 km/h.
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机译：铁路检查是铁路维护中确保安全的重要任务。紧固件是铁路的重要组成部分，它将铁轨固定在地面上。当前文章提出了一种基于图像处理和模式识别技术的检测紧固件的有效方法，该方法可用于在高速（最高400 km / h）的相应轨道上检测紧固件的缺失。提取方向字段作为特征描述符以进行识别。另外，提出了合适的权重系数矩阵，以在复杂环境中实现鲁棒且快速的匹配。实验结果表明，所提出的方法在复杂环境中对紧固件的检测具有计算效率和鲁棒性。通过固定在轨道检查车上的实用装置，可以获得足够的紧固件样品，并以400 km / h的速度验证了该方法的可行性。
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