基于拼片置乱与数学形态运算的伪装迷彩算法

CAMOUFLAGE ALGORITHM BASED ON PUZZLE PIECES SCRAMBLING AND MATHEMATICAL MORPHOLOGY OPERATION

为快速有效地生成针对实地环境伪装的数码迷彩,提出基于背景拼片置乱的迷彩生成方案。算法过程中结合了Logistic混沌映射置乱和图像FCM颜色聚类方法,并运用灰度数学形态学的"开-闭"复合运算对迷彩纹理进行修正,最终实现环境伪装数码迷彩的自适应生成。实验证明,该方法实时高效,生成的迷彩有效地摒弃了易辨识的局部图案特征而保留了环境纹理特征和环境颜色特征,具有较强的实地伪装隐蔽功能。

In order to fast and efficiently create digital camouflage for site environment camouflage, we present a camouflage generation scheme based on background puzzle pieces scrambling. In algorithm process the Logistic chaotic scrambling map is combined with the image FCM colour clustering, and the open-close compound operation of greyscale mathematical morphology is used to modify the texture of camouflage, and the adaptive generation of digital environmental camouflage is achieved at last. Experimental results show that the algorithm is real-time and efficient, the output camouflage effectively gets rid of the local pattern features which are easily to be identified while the environmental texture features and the environmental colour features are preserved, thus this scheme has quite strong site camouflaging and concealing capability.