Abstract:One of the bottleneck techniques of correlation pattern recognition is the accurate detection of distortion targets such as rotation and scale. Through researching on the variety algorithms of distortion target recognition, the minimum average correlation energy (MACE) filter used in matched filter was modified in this paper. Firstly, based on the basic idea of MACE filter, the filter function was constructed. Then, the edge extraction of training images was performed before composing reference images. Lastly, Laplace sharpening for the joint power spectrum of joint image was used. In this way, the rotated target image was recognized in joint transform correlator(JTC)successfully, and the correlation peak brightness of distortion images is increased, and the range of detection and recognition is improved. And also, as a practical example, the computer simulation experiments and optical experiment of a rotated aircraft target image were carried out, proving the feasibility of this algorithm.
