为了提高光学联合变换相关器(JTC)的目标识别能力，基于相似性度量原理，提出了一种新颖的相关输出图像数字处理算法。实验结果表明，该算法能够准确地识别旋转畸变－4°到＋10°及缩放比例畸变70%到140%范围内的待识别目标，极大地提高了光学联合变换相关器的畸变不变容忍度。

In order to improving the ability of objective recognition with optical joint transform correlator (JTC). A novel algorithm for the correlator output image is proposed. The experimental results show that this algorithm can accurately identify the object with rotated range form -4° to +10° and scale range from 70% to 140%, improve tremendously the distortion unchanged tolerance.