Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 10, 1326(2022)

LCD character defect detection algorithm based on multi-feature moment fusion

Xin CHEN and Cheng-gang FANG*
Author Affiliations
  • School of Mechanical and Power Engineering,Nanjing University of Technology,Nanjing 211800,China
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    In order to realize the automatic detection of LCD characters efficiently and accurately, a character defect detection algorithm based on multi-feature moment fusion was proposed for the disconnection and brightness defects of LCD character display. Firstly, the ROI region of the original LCD image was extracted, Hu invariant moments were used to describe the structural characteristics of characters, and Zernike moments were used to compensate for the information of higher moments that Hu moments could not describe. The color moment was used to describe color features of the characters,and the gray moment was used to make up the gray information that the color moment can not describe. The matrices were fused using 2DPCA technology. The similarity between the standard image fusion characteristic matrix and the image fusion characteristic matrix to be detected were measured by Euclidean distance. By setting the similarity threshold, the goal of defect detection was achieved. Experiment results show that the algorithm is stable and practical subjectively. Objectively, compared with the similar algorithms, the algorithm has a lower false judgment rate of 1%, a lower misjudgment rate of 0% and a higher efficiency of 0.6 s, basically meeting the actual detection needs.

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    Xin CHEN, Cheng-gang FANG. LCD character defect detection algorithm based on multi-feature moment fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(10): 1326

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    Paper Information

    Category: Research Articles

    Received: Mar. 31, 2022

    Accepted: --

    Published Online: Oct. 10, 2022

    The Author Email: Cheng-gang FANG (1216298849@qq.com)

    DOI:10.37188/CJLCD.2022-0103

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