Detection of colorless plastic contaminants hidden in cotton layer using chromatic polarization imaging

Abstract

A method of chromatic polarization imaging is presented for the online detection of colorless plastic contaminants from ginned cotton in an industrial setting. To understand the experimental results, we consider a realistic microscopic model, including the multiple scattering of anisotropic fibers and the light propagation in anisotropic slabs. A Monte Carlo code, based on the extended Jones matrix, is developed to simulate photon migration with polarization states, and phase information followed. Using simulations and experiments, we analyze the underlying mechanisms and evaluate the performance of this method with different layer thicknesses. Our approaches proposed in this Letter also have the potential to be applied in tissue imaging, remote sensing, and other scenarios.

Design and Experiment of Film Laying Quality Monitoring System for Cotton Precision Planter

“…et al, 2012). The detection technology of plastic film mainly includes ultrasonic technology (Zhang Q. et al, 2013), polarized light technology (Zhang C. et al, 2017;Peng B. et al, 2015), infrared technology (Zhang D.W. 2019;Lu L. et al, 2015), low altitude drone imaging (Banerjee B. et al, 2020;Adão T. et al, 2017), machine vision (Zhang X., 2020), etc. Among them, ultrasonic technology is easily disturbed by external environmental noise and produces misjudgment; The precision of polarized light technology is not high and its performance is unstable; Infrared technology and low altitude drone imaging are easily affected by ambient temperature and humidity, and the maintenance cost is high; Machine vision plays the role of "eyes".…”