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Polarization Image Processing Technology Based on Machine Vision Detection

Published:06 May 2024Publication History

ABSTRACT

The detection and morphology characterization of these biological samples are the basis of life research. Optical microscopic imaging has great advantages in the characterization and detection of biological samples because of its characteristics of low sample requirements, good environmental adaptability, convenient, fast and non-destructive detection. However, due to the influence of optical diffraction limit, the resolution of optical microscopic imaging method is comparative low and thus limits the applications. Due to the polarization characteristics of the scattering field from scatterer are closely related to the microstructure of the scatterer, the measurement of the polarization characteristics of the scattering field can improve the detection and characterization ability of biological samples. Meanwhile, to achieve a higher resolution and to obtain a larger range of particle near-field scattering spectral distribution, the method in the paper takes the image acquisition part of the traditional machine vision system as the main body and a polarization modulation module is added to build an image acquisition device. The non-intuitive images obtained in the experiment are compared with the traditional direct imaging, and the results prove that the non-intuitive polarization parameter imaging can obtain the particle near-field scattering spectral distribution in a larger range than the traditional direct imaging. It is proved that non-intuitive light wave vectors are more sensitive to near-field scattering and have higher resolution.

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      BDMIP '23: Proceedings of the 2023 International Conference on Big Data Mining and Information Processing
      November 2023
      223 pages
      ISBN:9798400709166
      DOI:10.1145/3645279

      Copyright © 2023 ACM

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      Publication History

      • Published: 6 May 2024

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