将绝对差度量(ADM)引入联合变换相关器(JTC), 实现了灰阶图像光学匹配的计算机模拟实验。 利用循环编码方法, 通过联合变换相关器一步实现绝对差度量, 相关后的图像通过取高阈值的分割方法来实现对目标的准确判断。 针对高斯噪声干扰情况, 分析了阈值选择问题, 提高了灰阶目标识别抵抗噪声畸变干扰的能力。

Absolute difference measurement (ADM) is introduced into joint transform correlator (JTC) for optical gray-scale image matching. Using a novel cycle encoding method, ADM is performed on a JTC in one step. With a high-level thresholding value, the correct justification can be achieved from the correlated resultant image. The value of thresholding should be changed according to the different situation of noise disturbing so that it can improve the distortion-invariant ability of the JTC system. The simulation results are given.