基于相关输出相似性度量的目标识别算法

Algorithm of Object Recognition Based on Similarity Measurement of Correlation Output

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.