Paper Title:
Automatic Optical Inspection on TFT-LCD Mura Defects Using Background Image Reconstruction
  Abstract

A mura defect detection algorithm for thin-film transistor liquid crystal display (TFTLCD) is developed for automatic detection of mura defects using Discrete Cosine Transform (DCT) principle for background image reconstruction. Detecting blob-mura defects in a LCD panel can be difficult due to non-uniform brightness background and slightly different brightness levels between the defect region and the background. To resolve this issue, a DCT-based background reconstruction algorithm was developed to establish the background image. The background of the inspected images can be first extracted and reconstructed by using the DCT principle and an image filtering strategy. Mura defects can then be detected by the developed segmented strategy. Actual performance of the developed method was evaluated on industrial LCD panels containing natural mura defects.

  Info
Periodical
Key Engineering Materials (Volumes 364-366)
Edited by
Guo Fan JIN, Wing Bun LEE, Chi Fai CHEUNG and Suet TO
Pages
400-403
DOI
10.4028/www.scientific.net/KEM.364-366.400
Citation
L. C. Chen, C. C. Kuo, P. A. Yen, "Automatic Optical Inspection on TFT-LCD Mura Defects Using Background Image Reconstruction", Key Engineering Materials, Vols. 364-366, pp. 400-403, 2008
Online since
December 2007
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Qing Liu, Jun Qin Huang, Yun Hou
Abstract:According to the fire burning features, this paper proposes a low-power fire detection algorithm under complex background. In this algorithm,...
501
Authors: Ming Quan Wang, Yu Wang
Abstract:In light of the characteristic of thin-wall weld joint in X-ray image, Flaw-edge extraction algorithm and image enhancement algorithm which...
2558
Authors: Qiu Chan Bai, Chun Xia Jin, Ding Li Yang, Ma Hua Wang
Chapter 3: Industrial Robotics and Automation
Abstract:Background reduction technique not only has the characteristics of pixels identify changes and small time complexity, but also can provide...
1421
Authors: Min Huang, Yang Zhang, Gang Chen, Guo Feng Yang
Chapter 14: Signal and Intelligent Information Processing
Abstract:In target detection, “hole” phenomenon is present in the detection result, and the shadow is difficult to remove. To solve these problems, we...
2117
Authors: Qing Ye, Yong Mei Zhang
Chapter 9: Intelligent Algorithm
Abstract:Moving target detection and tracking algorithm as the core issue of computer vision and human-computer interaction is the first step of...
2211