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The Advanced Measurement Technology In Product Precision Test

Posted on:2005-06-12Degree:MasterType:Thesis
Country:ChinaCandidate:D Y GeFull Text:PDF
GTID:2121360122470941Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
As an advanced measurement technology, Computer Vision ( CV ) has many merits such as high accuracy, non-touch, high efficiency, low cost, etc. With the improvement of the computer technology and the techniques of camera fabricating and development of image processing technology, CV has been adopted as a practical tool and played a powerful role in industry measurement.Precision and effectiveness of measurement are crucial to the development of science and technology, as well as industry. What we called measurement is the experimental process of collecting data, and dealing with the data in a correct way in order to get a reasonable result, and in turn, to direct the production properly. Since the production is a continuous process, the precision control should be made comprehensively and systematically. Both precision coefficient and its index can be taken as the synthesis index to judge the quality and precision of the system. From the view point of modern quality control, checking-out afterwards should be replaced by the way of dynamic controlling beforehand. Thus various advanced measurements are considered to be the useful and essential ways. With the development of science and technology and need of practice the computer vision emerged as the times require. The core and ultimate goal of CV is to re-construct three dimensional shape by means of two dimensional information. One of the key technologies is image processing. Because of the interference of different factors and lost of deep-information in image inverting, the ill-posed problem becomes common, and its solution decides the reliability of this measurement. In our research project, by taking the industry applying as an object, we did a lot of work to deal with different problems such as camera calibration, image processing, data treating and precision controlling, and, feature matching as well. In the paper, those problem are discussed theoretically and practically. An available way of constructing which ensure the accuracy and reliability the measurement is pointed out, and the three dimensional rebuilding the configuration of the work is satisfying. Conic parts are taken as example to show the result of the method which has enough accuracy and effectiveness.The dissertation mainly includes several parts as follows:1. Discussing of some optimal edge-detected operators, such as LOG operator, Canny edge-detected operator, which are developed on the base of classical ones, and shown higher precision than the formers.2. To solve the ill-posed problem mentioned above, choosing a useful way of constructing mathematics model with Householder orthogonal transformation to keep the method and its result in a good condition;3. On the base of perspective theory and graphic knowledge, inferring and constructing camera model (pin-hole model) to determine geometry local of some feature points in world and its coordinate on the of the camera.4. According to the special nature that the outline of curved surface in left and right images does not refer to the same outline in physical surface, expounding the ways of three dimensional restructure with base element of curved line, obtaining their three dimensions geometry information. An application example is given to show the result of the measurement system.
Keywords/Search Tags:computer vision, image processing, canny operator, camera Calibration, Householder transformation, Eigenvalue and Eigenvectors
PDF Full Text Request
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