:Blind pixel has a great influence on the imaging quality and system performance of infrared guided weapons. Aiming at the problem that the filtering algorithms cannot remove continuous blind pixels,the blind pixel detection algorithm based on temporal-mean outlier-extraction(TMOE) was improved,and the distribution form of blind pixel in the filter window was discussed. A detection algorithm that based on temporal-mean and spatial-mean outlier extraction for continuous blind pixel was proposed to realize the confirmation of blind pixel position. The simulation experiments show that this method has lower blind false detecting rate and loss detecting rate. Then the testing method of infrared detector blind pixel was put forward. By means of analysis and calculation of sample image,and then the evaluation parameters and evaluation rules are determined according to the ideas of the Romanowski criterion,and they will use as the basis of normal operation for infrared imaging equipment. The testing method is simple and quick,and it has quite high accuracy.