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This study aims to enhance doctors’ accurate diagnosis of diseases by detecting blur in medical images using advanced image processing techniques. Researchers primarily utilized the variance of the floating-point values calculated using the Laplacian method in the OpenCV library to improve the accuracy of detecting blur in medical images. The results indicate that the model using the Laplacian method achieved higher accuracy in detecting blur in medical images when compared with some models using traditional image processing techniques.

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Detecting Blurriness in Medical Images Using OpenCV

  • 会议论文

  • 发表日期：

    2026年

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  • Liwei Tian,
  • Xin Yang,
  • Yu Sun,
  • Xinwei Zhang,
  • Longqing Zhang,
  • Bianping Su,
  • Fengting Yan,
  • Chunxuan Li

摘要

This study aims to enhance doctors’ accurate diagnosis of diseases by detecting blur in medical images using advanced image processing techniques. Researchers primarily utilized the variance of the floating-point values calculated using the Laplacian method in the OpenCV library to improve the accuracy of detecting blur in medical images. The results indicate that the model using the Laplacian method achieved higher accuracy in detecting blur in medical images when compared with some models using traditional image processing techniques.