| With the rapid development of computer technology, the application of machine vision technology in the parts is becoming more and more widely. Compared with the traditional detection methods, this kind of non-contact detection method greatly improves automation degree for detection, greatly reduces the labor intensity of the testing personnel, improves the detection efficiency, but also reduces the test cost, improves the detection accuracy.Based on the research of machine vision technology and image processing technology, a low-cost gear measuring system is built. Unlike traditional machine vision system, this system adopts the low cost of the CMOS camera as image acquisition device, which greatly reduce the cost of the measurement system and has a positive meaning for popularization and application in the industry. Through completing the gear measurement experiments, we verify the feasibility of this gear measurement system design, which has great reference value in industry application for future. In this paper, the main research contents and results mainly include the following aspects:① Based on the analysis of the research for the existing gear measuring and machine vision technology, expounds the research significance of this topic.② Various image processing method is studied systematically. Combing with the actual situation and the contrast effects of different processing methods, we choose a series of image processing algorithms.③ A design plan of gear measuring system was put forward. This chapter mainly introduces the type selection of hardware and choice of the software platform.④ Analysing the cause of image distortion, we use the MATLAB toolbox for camera to complete the calibration. By using the calibration parameters, we correct the distortion of gear images.⑤ The gear measurement experiments validate the features of gear measurement system, analyzed the data of measurement results. The cause of the error measurement system are derived. |
PDF Full Text Request