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Rapid Polarization Imaging for Biological Tissue Using a Quad-Camera Polarization System With Scenario-Oriented Registration
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DOI：10.1109/tim.2026.3711350.png)
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Abstract
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Polarization imaging has emerged as a powerful tool for biomedical diagnostics; however, conventional sequential Mueller matrix imaging systems are limited by slow acquisition and susceptibility to motion-induced artifacts in dynamic tissue measurements. Multicamera architectures can enable parallel polarization acquisition, but accurate image registration remains challenging for biological tissues with weak or repetitive textures. In this article, we propose a rapid <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$3\times 3$ </tex-math></inline-formula> Mueller matrix imaging platform for biological tissue measurement based on a quad-camera polarization system with scenario-oriented registration strategies. Four synchronized cameras are integrated into a single polarization state analyzer (PSA) to achieve parallel acquisition without mechanical rotation. Three registration methods are implemented according to imaging conditions: a speeded-up robust feature (SURF)–random sample consensus (RANSAC) method for general textured scenes, a coded-pattern-enhanced method for weak-texture biological tissues, and a fast homography-invariant strategy for repetitive measurements under fixed imaging geometry. Experimental results demonstrated that the coded-pattern method reduced the average registration error from 5.557 to 0.679 pixels while substantially improving robustness. The platform achieves complete Mueller matrix acquisition within 1.0 s, which can be further reduced to approximately 0.5 s under fixed conditions. Validation using optical standards and representative biological tissues confirms the accuracy, stability, and practical utility of the proposed system for rapid biomedical polarization imaging.
Keywords:
$3\times 3$ Mueller matrix
image registration
polarization imaging
quad-camera
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