Image Distortion and Non-Uniformity Correction for Transient Imaging Multi-spectrum Thermometry

Abstract

This thesis focuses on the research of multi-spectrum thermometry image distortion and non-uniformity correction based on the characteristic of single CCD transient imaging multi-spectrum thermometry. A distortion correction based on Zhang calibration is used to rectify the lens distortion. A non-uniformity correction combined two-point calibration with neural network is carried out to rectify the non-uniform images. Compare the images before and after correction, the distortion calibration method used in this thesis can decrease the error between the field image and the target location. The comparison of the images before and after non-uniformity correction illustrates that the non-uniformity correction used in this thesis can reduce the temperature measurement error caused by CCD pixel conformance differences observably.