Development of moving target detection based on image processing techniques

In order to effectively detect moving targets in strong noise conditions, we proposed an image processing method based on wavelet and Hough transform (HT) for multiple moving targets detection. Firstly, the noise is removed from the received signal by the wavelet technique. We propose an improved wavelet threshold function. The new threshold function not only reduces constant error of soft thresholding but also improve the discontinuity of hard thresholding. Secondly, the image processing technique of the Hough transform is used. The benefits of this method include improved performance of detection, implementation flexibility, which indicates the effectiveness and robustness of the algorithm.