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DoFP Polarimetric Microplastic Dataset: Raw and Derived Stokes/AOLP/DOLP Images
Summary
This dataset provides raw and processed polarimetric images of 600 microplastic particles across three polymer types (PP, HDPE, LDPE) captured using a division-of-focal-plane polarization camera, enabling image-based polymer classification. Polarimetric imaging represents a promising non-destructive optical method for rapid, automated identification of colorless microplastic particles in water.
General Information Description: This dataset contains the raw and processed polarization images used for the image-based classification of three common microplastic polymer types (PP, HDPE, LDPE) submerged in water. Data Description and Acquisition The dataset consists of polarization images of 600 colorless, irregularly shaped, and opaque microplastic particles (200 of each polymer type). The particles are 50−300 μm in size. Experimental Setup Illumination: Linearly polarized 532 nm diode laser. Detection: Scattered light collected at 120° relative to the incident beam. Sensor: LUCID Vision Labs Triton™ TRI050S-QC polarization camera utilizing Polarsens Division-of-Focal-Plane (DoFP) technology Sample Medium: Purified water. File/Folder Name Description Units/Format 01_raw_intensity_images Contains demosaiced, full-resolution, green channel intensity images for the four polarization angles: 0°, 45°, 90°, and 135°. PNG 02_derived_images Contains the three calculated linear Stokes parameters and the two primary feature images: AOLP and DOLP PNG 03_ derived_images_masked AOLP and DOLP images with background pixels set to zero to isolate particles. PNG