In order to improve the accuracy in the On-line measurement of rail profile with a line structured light based on machine vision, the accurate extraction of a structured light stripe is a necessary and key step. An accurate extraction method is proposed for the structural light stripe in practical applications. The structured light stripe is separated and extracted accurately based on the geometric characteristics of the structure light stripe in the binary image. And the noise in the captured image is removed with region segmentation method. The above method was tested in laboratory conditions. Experiment results show that the developed method can effectively solve the problem of the accurate extraction of structured light stripe in real time.
In order to develop the geometric parameters measurement technology of wheel tread, it is important to ensure the positioning precision firstly before measurement. In this paper, a new method with no-contact measurement based on line structured light is given to solve this problem. Here the traditional mechanical locating method is used as a rough reference. Then, according to the feature points (particularly, the key points that have not been worn), the precision positioning is adjusted dynamically based on the calculated results of non-contact measurement. With the developed digital image processing techniques, the line structured light on the wheel tread is extracted effectively. Thus the pixels of the extracted line structured light can be transformed to the real geometric dimensions. In this paper, the experiments show that it improves the accuracy of positioning and reduces the factors of measurement errors with the proposed method, and it is possible to implement non-contact measurement of the wheel tread, wheel flange thickness and flange width.
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