構建基于機器視覺檢測系統的液晶顯示屏檢測系統案例
發布時間：
2023-02-10 11:28
機器視覺檢測系統具有比人眼更高的辨別精度和速度，在液晶顯示屏檢測中檢測中安裝機器視覺在線檢測系統十分重要。 畢竟交互式電子產品的廣泛普及，對顯示屏的要求越來越高，所以顯示屏的檢測技術也變得尤其重要。
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.
視覺檢測系統在實現檢測算法和技術方面，主要研究應用于顯示屏缺陷檢測的理論算法，包括攝像機的標定與圖像校正，圖像去噪、濾波， 模式匹配，并提出一種考慮兩種畸變的簡易的平面模板改善圖像失真度。
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.
面向液晶顯示屏缺陷檢測的視覺檢測系統開發和技術實現，依次實現了標定、點缺陷檢測、線缺陷檢測的關鍵步驟，并設計了人機交互界面。
The key steps of calibration, point defect detection and line defect detection are realized in turn, and the human-computer interaction interface is designed.
針對不同缺陷提出了相應的檢測和處理方案,構建了基于虛擬儀器技術與機器視覺技術的檢測系統硬件。在此基礎上,對基于圖像處理技術的缺陷識別和自動檢測技術進行了深入的理論及實驗研究。
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，由于全屏拍攝視場過大,CCD的分辨率無法滿足缺陷分辨的要求,論文采用屏幕分塊檢測的方法,有效解決了CCD分辨率不足的問題。
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，合理運用圖像分割、邊緣特征提取、數學形態法等圖像處理與分析技術,較好地兼顧了檢測速度與檢測精度。
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，通過科學論證、合理選型、構建了實驗平臺進行了大量的試驗性檢測，取得了較為滿意的實驗結果，實現了液晶屏缺陷的自動檢測。基于機器視覺檢測系統的發展為解決這種情況提供了可行的參考方案。
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.
機器視覺圖像處理技術的創視新液晶屏在線檢測系統，通過圖像的處理的關鍵技術進行系統方案搭建，在圖像采集、校正、圖像檢測算法和實現等方面進行了重點研究，構建基于機器視覺檢測系統的液晶顯示屏檢測系統。
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.
視覺檢測系統