Research on image information acquisition method to improve the dimensional detection accuracy of shaft sleeve parts Name: Application degree level: Master major: Signal and information processing instructor: Xu Du 2009060 1 Abstract According to incomplete statistics, the annual output of shaft parts in China is about 1 100 million pieces, and about 10,000 pieces need to be measured. At present, as far as the size detection of parts in many domestic manufacturing industries is concerned, the detection work still stays at the stage of manual sampling inspection of products by simple artificial vision or the combination of artificial vision with mechanical measuring tools and optical instruments. Manual detection often has shortcomings such as low efficiency, poor reliability, low detection accuracy, high cost and easy to make mistakes. It is not suitable for the development of modern industrial enterprises. The size detection method based on image detection can not only avoid the shortcomings of manual detection, but also realize online, fast, accurate and non-contact automatic detection of machined parts. At present, there are still some problems in the research of shaft parts detection based on, and, such as low detection accuracy and unstable detection data. Based on the development trend of the discipline and practical application requirements, this topic focuses on the image information acquisition method to improve the dimensional detection accuracy of shaft sleeve parts on the basis of consulting a large number of documents and analyzing the industrial field data acquisition system. The main work of this paper is as follows: (1) Study the influence of several light sources on detection, such as parallel light, surface light and environmental interference light, and choose a stable and simple light source that is conducive to the requirements of detection accuracy. (,) Study the influence of several lenses on detection accuracy, study the influence of lens defocus on detection accuracy in a limited range and the measurement of lens depth of field. (,) A simple calibration method is proposed, which is beneficial to high-precision detection. (,) The compensation method of lens two-dimensional imaging error and photosensitive compensation method of lens, linear array and area array pixels are studied, so as to provide a basis for improving the image information acquisition method of shaft sleeve parts size detection accuracy. And develop its information collection system. (,) In order to solve the problems of linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array, linear array. Through a large number of experimental data, the detection accuracy is separated and analyzed, the factors causing errors are found out, the optimization method and improvement scheme are put forward, and the image information acquisition system for shaft sleeve part size detection with higher accuracy is designed. The experimental results show that the performance and reliability of the system, especially the accuracy and stability, are tested, which provides a reliable basis for the subsequent size detection. Keywords: size detection; Accuracy; Light source; Lens; Distortion correction master thesis of Guangdong University of Technology,