改良型MACH滤波器算法的形变目标识别.pdfVIP

43 卷 11 期 红外与激光工程 2014 年11 月 Vol.43 No.11 Infrared and Laser Engineering Nov. 2014 Distorted target recognition based on improved MACH algorithm 1 1 1 2 Liu Hongzhi , Chen Yu , Huo Furong , Zheng Liqin (1. School of Optoelectronic Engineering , Changchun University of Science and Technology , Changchun 130022, China; 2. Changchun New Industries Optoelectronics Tech. Co ., Ltd ., Changchun 130022, China) Abstract: Joint transform correlator (JTC) can make targets recognized and located accurately , but the bottleneck technique of JTC is how to recognize the distorted targets in cluttered scene . This has restricted the development of the pattern recognition for target image . In order to solve the problem, improved Maximum Average Correlation Height (MACH) filter algorithm was presented. The MACH algorithm has powerful capability of recognition for distorted targets (rotation and scale etc .) . According to the analysis result of amounts of experiments, the control parameters of the synthesized filter were optimized, which makes the filter have higher distortion tolerance and can suppress cluttered noise effectively . When improved MACH filter algorithm in frequency domain was projecte d to space domain, the MACH reference template image can be obtained which includes various forms of distorted target image . MACH reference template can sharpen th