Study On Optical Image Measurement Technology

In the 21st century, with the laser technology, precision measurement of grating manufacturing technology, computer technology and image acquisition and processing technology, the rapid development, has begun to apply them to high-precision measurement, and the formation of a new measurement technology - image processing technique. Image measurement technology as a new non-contact measurement method has unique advantages, it adopted the image of the measured object detection and transmission of information as a means of extracting useful information from the image and then get tested parameters. The production of optoelectronic devices and the popularity of video image processing technique to make it possible, in particular, charge-coupled device (CCD) technology, to further promote the image formation and development of measurement techniques.In the background of gun powder chamber measurement system, the paper grasps the meaning of the same image processing technique. The image measurement technology in some of the details of the technical problems have been studied and summarized, which is the CCD camera calibration, the calibration method based on the traditional described in detail calibration method in this paper, the first collection of special imaging condition to the special non-linear patterns such as the grid image distortion correction, calibration parameters and then applied to the actual measurement system, simulation results show that this method is simple and reliable, well distortion of imaging system calibration error. Strike in terms of equivalent pixels, respectively, the traditional method for getting listed and paper-based method for getting the image preprocessing, this paper collected by adding a richer example image denoising, thinning, fitting and other image preprocessing work, and finally calculate the equivalent pixel precision. The results showed that this method has high reference value.The so-called image measurement is the measurement of the measured object, the image as a means of detection or carrier and transmission measurement method to be used, and its purpose is to extract useful image signal, so the image processing technology as the foundation and the image measurement system key. Among them, the edges of the image measurement as a key, you can describe or identify the target for the people and explain the images provide valuable, important information. Edge detection feature extraction is an important step prior to, this article focuses on image processing technology in the classical edge detection algorithm, Laplacian proposed thinning algorithm is the combination of advantages and disadvantages of Sobel operator and Laplacian operator, simulation results show that Fine edge extraction algorithm is a feasible image processing algorithms; based on the classic Pal. King algorithm, the paper gives Pal. King fast algorithm for Pal. King algorithm on the membership threshold is set to fixed shortcoming, using Otsu method automatically determines the threshold value for the best fuzzy enhancement transform the best membership threshold algorithm. Simulation results show that this algorithm costs less time, has fine edges and wide application, it is a very practical image processing algorithms.