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<p>In the existing particle image velocimetry (PIV) data processing approach, mask technology is usually employed to obscure regions that are not required for calculations, ensuring that information within these regions does not affect velocity calculation results. A stable and universally applicable dynamic mask method can greatly reduce the efforts by researchers. This study proposes a novel PIV dynamic masking technique—the dynamic mask based on image registration (DMIR). This method works by identifying the mapping relationships of object changes across different images, enabling the transformation of existing mask information into a new mask. The dynamic masking capability of this method is not limited by the medium characteristics or motion forms of the object being masked. The proposed method is evaluated using synthetic images and two test cases, which demonstrates its great potential for PIV data processing under real multiphase flow scenarios.</p>

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Dynamic mask technology for particle image velocimetry based on image registration

  • 期刊论文

  • 发表日期：

    2026年1月16日

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  • Linyuan Ma,
  • Yunfei Kuai,
  • Yang Han

摘要

In the existing particle image velocimetry (PIV) data processing approach, mask technology is usually employed to obscure regions that are not required for calculations, ensuring that information within these regions does not affect velocity calculation results. A stable and universally applicable dynamic mask method can greatly reduce the efforts by researchers. This study proposes a novel PIV dynamic masking technique—the dynamic mask based on image registration (DMIR). This method works by identifying the mapping relationships of object changes across different images, enabling the transformation of existing mask information into a new mask. The dynamic masking capability of this method is not limited by the medium characteristics or motion forms of the object being masked. The proposed method is evaluated using synthetic images and two test cases, which demonstrates its great potential for PIV data processing under real multiphase flow scenarios.