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构建基于机器视觉检测系统的液晶显示屏检测系统案例

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  机器视觉检测系统具有比人眼更高的辨别精度和速度,在液晶显示屏检测中检测中安装机器视觉在线检测系统十分重要。 毕竟交互式电子产品的广泛普及,对显示屏的要求越来越高,所以显示屏的检测技术也变得尤其重要。
  Machine vision detection system has higher discrimination accuracy and speed than human eyes. It is very important to install machine vision online detection system in the detection of LCD screen. After all, with the widespread popularity of interactive electronic products, the demand for display screen is becoming higher and higher, so the detection technology of display screen has become particularly important.
  视觉检测系统在实现检测算法和技术方面,主要研究应用于显示屏缺陷检测的理论算法,包括摄像机的标定与图像校正,图像去噪、滤波, 模式匹配,并提出一种考虑两种畸变的简易的平面模板改善图像失真度。
  In terms of detection algorithm and technology, the visual inspection system mainly studies the theoretical algorithm applied to screen defect detection, including camera calibration and image correction, image denoising, filtering, pattern matching, and proposes a simple plane template considering two kinds of distortion to improve image distortion.
  面向液晶显示屏缺陷检测的视觉检测系统开发和技术实现,依次实现了标定、点缺陷检测、线缺陷检测的关键步骤,并设计了人机交互界面。
  The key steps of calibration, point defect detection and line defect detection are realized in turn, and the human-computer interaction interface is designed.
视觉检测系统
  针对不同缺陷提出了相应的检测和处理方案,构建了基于虚拟仪器技术与机器视觉技术的检测系统硬件。在此基础上,对基于图像处理技术的缺陷识别和自动检测技术进行了深入的理论及实验研究。
  According to different defects, the corresponding detection and processing scheme is proposed, and the hardware of the detection system based on virtual instrument technology and machine vision technology is constructed. On this basis, the defect recognition and automatic detection technology based on image processing technology is deeply studied in theory and experiment.
  首先,由于全屏拍摄视场过大,CCD的分辨率无法满足缺陷分辨的要求,论文采用屏幕分块检测的方法,有效解决了CCD分辨率不足的问题。
  First of all, due to the large field of view of full screen shooting, the resolution of CCD can not meet the requirements of defect resolution. In this paper, the method of screen block detection is used to effectively solve the problem of insufficient resolution of CCD.
  其次,合理运用图像分割、边缘特征提取、数学形态法等图像处理与分析技术,较好地兼顾了检测速度与检测精度。
  Secondly, image processing and analysis technologies such as image segmentation, edge feature extraction and mathematical morphology are used reasonably, which can take both detection speed and detection accuracy into account.
  最后,通过科学论证、合理选型、构建了实验平台进行了大量的试验性检测,取得了较为满意的实验结果,实现了液晶屏缺陷的自动检测。基于机器视觉检测系统的发展为解决这种情况提供了可行的参考方案。
  Finally, through scientific demonstration, reasonable selection and construction of the experimental platform, a large number of experimental tests were carried out, and satisfactory experimental results were obtained, and the automatic detection of LCD defects was realized. The development of machine vision detection system provides a feasible reference scheme for solving this problem.
  机器视觉图像处理技术的创视新液晶屏在线检测系统,通过图像的处理的关键技术进行系统方案搭建,在图像采集、校正、图像检测算法和实现等方面进行了重点研究,构建基于机器视觉检测系统的液晶显示屏检测系统。
  Machine vision image processing technology of innovative LCD on-line detection system, through the key technology of image processing system to build the system, in the image acquisition, correction, image detection algorithm and implementation of key research, the construction of machine vision based on the detection system of liquid crystal display screen detection system.