红外图像目标环境生成技术研究

Key issues about extraction of target character in creation of IR image environment is studied. It presents a multi stage data flow that consists of three level functional modules, which are adaptive background perception and subtracting operation, selection of automatic threshold used for clutter suppression, shape analyzing and target character recognition. A morphology based data processing approach proposed in this paper is applied to background estimation. Experimental results show that the method is able to provide good filtering results and robust adaptability to image environment with clutter background.

参考文献

[1] YU Nong, LI Yu-Shu, WANG Run-Sheng. Morphological filters using genetic algorithm for automatic image target detection. Chinese Journal of Computers(余农,李予蜀,王润生.自动检测图像目标的形态滤波遗传算法.计算机学报), 2001, 24(4): 337-346

[2] LI Yu-Shu, YU Nong, WU Chang-Yong, et al. Morphological neural networks with applications to automatic target recognition in aeronautics infrared image. Acta Aeronautica et Astronautica Sinica(李予蜀,余农,吴常泳,等.红外航空图像自动目标识别的形态滤波神经网络算法.航空学报), 2002, 23(4): 368-372

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余农, 吴常泳, 汤心溢, 李范鸣. 红外图像目标环境生成技术研究[J]. 红外与毫米波学报, 2003, 22(5): 337. 余农, 吴常泳, 汤心溢, 李范鸣. APPROACH TO CREATION OF TARGET AND ENVIRONMENT IN INFRARED IMAGE[J]. Journal of Infrared and Millimeter Waves, 2003, 22(5): 337.

红外图像目标环境生成技术研究

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