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Automated Mueller Matrix Imaging System by debdattaray is a document available to read on EtoBox.

This document summarizes the development of an automated Mueller matrix polarization imaging system for non-invasive skin cancer detection. The system generates the full 16-element Mueller matrix from 16 or 36 polarization images in less than 70 seconds. Testing on known samples like polarizers and mirrors showed good agreement with theoretical values, with an average accuracy of 97.96% for 16 images or 99.44% for 36 images. The system was also used to image a benign skin lesion on a human subject. The auto

Author
debdattaray
Language
EN