小波变换在光学相关目标识别中的应用

光电混合实时联合变换相关器能够实现目标的自动探测、识别和定位，但由于实际中从图像传感器采集到的目标图像对比度较低且存在大量背景噪音，因而目标识别率低且识别效果不佳。基于小波变换的多分辨率分析特点能够更大程度上体现图像的特征信息，将其应用于光学相关目标的自动探测与识别中。将小波变换与联合变换相关器结合起来，通过研究物面的小波图像增强来获取更加尖锐的相关峰，解决复杂背景、低对比度目标的识别问题，取得良好的实验结果，证实小波变换在光学相关领域中具有一定的优越性和良好的应用前景。

The Application of Wavelet Transform in Optical Correlation Target Recognition

Hybrid optoelectronic real-time joint transform correlator can realize target auto detection, recognition and location. But in fact, the target image collected from the imaging sensor has low contrast and large background noise. It greatly increases the difficulty of target recognition and results in low recognition rate. Wavelet transform is applied to the field of optical correlation target auto detection and recognition based on its multi-resolution characteristic which can largely embody the information of an image. Wavelet transform was used to correlate with joint transform correlator and more sharp correlation peaks were obtained by investigating wavelet image enhancement of object surface. ,as a result, the recognition of targets with cluttered scenes and low contrast has been realized and experimental results firmly testify the fact that using wavelet transform in the filed of optical correlation has a good future in application.