Design and application of industrial machine vision systems
Design and application of industrial machine vision systems
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DOI：
10.1016/j.rcim.2007.02.005
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发表时间：
2007-12-01
影响因子：
10.4
通讯作者：
Asadpour, A.
中科院分区：
文献类型：
--
作者：
Golnabi, H.;Asadpour, A.
本文阐述了机器视觉系统在工业应用中的作用和重要性。首先，解释了从一个普遍概念的角度对愿景的理解。系统设计方法进行了讨论，并报告了一个通用的机器视觉模型。这种机器包括系统和子系统，这当然取决于应用的类型和所需的任务。一般来说，视觉机器的预期功能是利用和施加场景的环境约束，捕获图像，分析这些捕获的图像，识别每个图像中的某些对象和特征，以及启动后续动作以接受或拒绝相应的对象。在视觉系统完成所有这些阶段之后，手头的任务几乎完成了。在此，解释每个系统和子系统在高质量图像方面的顺序和适当功能。在操作中，有一个具有一定约束的场景，机器的第一步是图像采集，图像的预处理，分割，特征提取，分类，检查，最后驱动，这是与所研究的场景的交互。在本报告的最后，详细解释了工业图像视觉应用。这些应用包括自动视觉检测（AVI），过程控制，零件识别以及在机器人引导和控制中的重要作用。提出了制造业中的视觉发展，这些发展可以提高可靠性，提高产品质量，并使新的生产工艺成为可能。最后介绍了机器视觉系统设计和应用中的关键问题。这些考虑通常可以分为六个不同的类别，如场景约束，图像采集，图像预处理，图像处理，机器视觉调整，最后是系统的考虑。这些过程的每个方面都在这里进行了描述，并报告了最佳设计的适当条件。(c)2007爱思唯尔有限公司保留所有权利。
In this paper, the role and importance of the machine vision systems in the industrial applications are described. First understanding of the vision in terms of a universal concept is explained. System design methodology is discussed and a generic machine vision model is reported. Such a machine includes systems and sub-systems, which of course depend on the type of applications and required tasks. In general, expected functions from a vision machine are the exploitation and imposition of the environmental constraint of a scene, the capturing of the images, analysis of those captured images, recognition of certain objects and features within each image, and the initiation of subsequent actions in order to accept or reject the corresponding objects. After a vision system performs all these stages, the task in hand is almost completed. Here, the sequence and proper functioning of each system and sub-systems in terms of high-quality images is explained. In operation, there is a scene with some constraint, first step for the machine is the image acquisition, pre-processing of image, segmentation, feature extraction, classification, inspection, and finally actuation, which is an interaction with the scene under study. At the end of this report, industrial image vision applications are explained in detail. Such applications include the area of automated visual inspection (AVI), process control, parts identification, and important role in the robotic guidance and control. Vision developments in manufacturing that can result in improvements in the reliability, in the product quality, and enabling technology for a new production process are presented. The key points in design and applications of a machine vision system are also presented. Such considerations can be generally classified into the six different categories such as the scene constraints, image acquisition, image preprocessing, image processing, machine vision justification, and finally the systematic considerations. Each aspect of such processes is described here and the proper condition for an optimal design is reported. (c) 2007 Elsevier Ltd. All rights reserved.