Abstract:In view of the fact that the national standard criterion cannot evaluate the imaging quality stability of the cooled infrared detector, this paper proposes a screening method that identifies unstable pixels based on the consistency of adjacent pixel responses and discriminates the imaging stability of infrared detectors according to the number of these unstable pixels. In this approach, non-uniformity correction is applied to multiple test data sets of the detector using the same correction coefficients. Subsequently, a sliding window technique is employed to analyze the consistency between each pixel and its neighboring pixels. The cumulative number of unstable pixels detected across multiple power cycles is then utilized to assess the imaging stability of the detector. This proposed method, anchored on multiple test data sets, mitigates the impact of test errors and enhances the accuracy of the screening process. Extensive experimental results obtained from various array detectors validate the significant advantages of the proposed method in terms of both result accuracy and universality.