检测自动化中的数字图像处理及识别

数字图像处理是近几年研究的一个热点，其发展与广泛应用进一步提高了自动化 的程度。本文首先介绍了数字图像处理的主要方法及主要内容，并简要介绍了数字图 像处理系统的组成及其工作原理，综合考虑了条码位图处理过程中可能遇到的各种噪 声，并依此确定了开发条码图像处理及识别应用软件的数字图像处理算法。最后重点 介绍了开发条码图像处理及识别应用软件的实现方法，并给出了软件的测试结果。该 软件可以对有较严重噪声的条码位图进行处理，从而实现对不完整条码位图的识别， 这是普通条码识别软件无法实现的。将数字图像处理技术应用于条码识别领域是本课 题的创新之处，具有一定的理论价值及实际应用价值。 Digital Image Processing is one of hot research fields in recent years，its development and wide application enhance the level of automation．Firstly, this paper introduces main methods and contents of Digital Image Processing，and briefly introduces the components and mechanism of the system of Digital Image Processing，various cases of noises appearing in the progress of processing barcode images are taken into account synthetically, on which the algorithms of developing the application softWare for processing and identification of barcode image are made certain．Finally, this paper mainly introduces the methods of developing the application software for processing and identification of barcode image，and the result of this softWare is shown．This software can process barcode images with serious noises and identify them，which average software for identifying barcode can not complete．The aplication of the technology of Digital Image Processing to identification barcode is the innovation of this paper, which has certain theoretical and practical value．