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Crosstalk Defect Detection Method Based on Salient Color Channel Frequency Domain Filtering.

Wenqiang Xie1, Huaixin Chen1, Zhixi Wang1,2

  • 1Department of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China.

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Summary

This study introduces a new method for detecting display crosstalk defects using salient color channel frequency domain filtering. The proposed algorithm achieves 96% accuracy in identifying low-contrast defects, outperforming existing methods.

Keywords:
crosstalk defectdefect detectionfrequency-domain saliencyliquid crystal displaysalient color channel

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Area of Science:

  • Image Processing
  • Display Technology
  • Quality Control

Background:

  • Display crosstalk is a common defect impacting visual quality.
  • Accurate detection of low-contrast defects remains challenging for current inspection methods.

Purpose of the Study:

  • To develop an effective method for detecting display crosstalk defects, particularly low-contrast ones.
  • To improve the accuracy and efficiency of display quality inspection processes.

Main Methods:

  • Utilized salient color channel selection via maximum relative entropy.
  • Employed color quaternion matrices in the Lab color space.
  • Applied hyper-complex Fourier transform for frequency domain analysis.
  • Implemented Gaussian threshold band-pass filtering and inverse transform for defect separation.

Main Results:

  • The proposed algorithm achieved 96% accuracy in detecting various crosstalk defects.
  • Demonstrated superior effectiveness in identifying low-contrast crosstalk defects.
  • Outperformed existing advanced defect detection algorithms in comparative tests.

Conclusions:

  • The salient color channel frequency domain filtering method is effective for display crosstalk defect detection.
  • The technique shows significant promise for enhancing display quality inspection.
  • The method provides a robust solution for challenging low-contrast defect identification.