基于单目视觉的微位移精确测量方法研究
[Abstract]:With the development of machine vision technology, image processing technology, photoelectric technology and other technologies, vision measurement technology has been rapidly developed and applied. Monocular vision measurement, as a non-contact visual measurement method, has an important application in agriculture, industry, transportation, medicine and so on. In this paper, monocular vision and laser point are used to measure and obtain depth information. This method has the advantages of simple system, no need to set passive mark on the measured object, and no need to calibrate the inside and outside parameters of the camera. In this paper, the aperture imaging model and the lens imaging model are introduced firstly, and the measurement models based on the combination of small hole imaging and laser point are analyzed, respectively, and the measurement models based on lens imaging and laser point recombination are analyzed respectively. In order to solve the problem that the precision of the measurement model based on the combination of small hole imaging and laser point is not high in the micro displacement measurement, the measurement model based on the combination of lens imaging and laser point is adopted. This model adopts the principle of lens imaging. In the vicinity of the focal length equal to twice of the image length, when the object distance has a small change, the spot image position of the laser point on the CCD is obviously changed, which can improve the measurement precision. In order to obtain laser point image from CCD camera, it is necessary to pre-process the image, including gray-scale processing, filtering processing, threshold segmentation and obtaining laser contour. The central position of the laser point has an important influence on the measurement accuracy. In this paper, the influence of different objects measured on the threshold, the different threshold, the starting time, the working time, and so on, are studied in this paper. The influence of the non-laser spot contour and the singular point of the spot contour on the laser center position; The causes of non-laser spot contour and contour edge singularity are analyzed, and the removal method of non-laser spot and contour edge singularity is put forward. The feasibility of the proposed method is verified by experiments. According to the position constraint relation of each component in the measurement model, a kind of measuring device is designed. For the CCD camera, laser, lens, linear motor, physical base point, driver in the measuring device, respectively. Lens bracket and other components for selection and design. Using VS2010 as software development platform and object-oriented C language as development language, according to the principle of interface design and the requirement of measurement system, the interface of monocular vision and laser point complex measurement is designed by combining MFC and OpenCV. Finally, the experimental platform is established, which is mainly composed of three coordinate measuring machine, six degrees of freedom position and attitude adjustment platform, measuring device and percentile meter. Firstly, the distance between the measured object and the physical base point is obtained by using the coordinate measuring machine, the central position of the laser spot is obtained by using the image processing technology, and the one-to-one correspondence is established, and then the measured object is moved many times. At each position, the central position of the laser point in the CCD is obtained, and many sets of data are obtained. Based on these data and the theoretical measurement model, the modified model of the theoretical measurement model is obtained by using the least square fitting method and choosing the appropriate fitting function. After obtaining the modified model of the measurement model and comparing it with the data measured by the coordinate measuring machine, the rationality of the modified model is analyzed. The experiments show that the method can be used to measure the micro-displacement with high precision. The relative error is less than 0.022% in the 1mm range.
【学位授予单位】:扬州大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP391.41
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