期刊文献+

一种新的数码迷彩生成方法 被引量:4

New Method of Digital Camouflage Generation
下载PDF
导出
摘要 传统的迷彩图案中斑点的边界平滑分明,不利于与斑点破碎的背景融合。数码迷彩边界模糊、破碎,近距离观察时能够有效分割大斑点,远距离观察时能够形成空间混色,大大增强了迷彩伪装的效果。于是数码迷彩成为当今迷彩设计的一大主流,从背景主色斑点到数码迷彩生成是数码仿造迷彩设计的重要环节。因此根据空间混色原理,提出了一种数码迷彩斑点分布的概率模型,实现了对数码迷彩单元分布的量化,设计了从背景主色斑点到数码迷彩图案的生成方法,综合运用MATLAB图像处理技术,结合概率分布模型通过编程生成了数码迷彩图案。结果表明,该方法能够生成边缘破碎具有良好空间混色效果的数码迷彩图案,为数码仿造迷彩的设计提供了一种新的思路。 The edges of speckles in traditional camouflage patterns is smooth and clear which is disadvantage to blend with the background with broken speckles. The edges of digital camouflage are ambiguous and broken. Big speckles can be segmented effectively at short range observation. Spatial color mixture is formed at long distance observation and the effect of camouflage is enhanced greatly. So the digital camouflage is one of the most important parts in camouflage design in recent years. The important step of digital copy camouflage design is from the main color speckle in background to the generation of digital camouflage. According to the spatial color mixture principle, a probability model of digital camouflage speckle distribution is introduced so as to quantify the distribution of digital camouflage unit. The generation method from main color speckles in background to digital camouflage patterns is designed. Incorporating with MATLAB image processing technology and probability distribution models, digital camouflage patterns are generated through programming. The result shows that the digital camouflage patterns with broken edges and good spatial color mixture effect can be generated with the method. And a new idea is provided for the design of digital copy camouflage.
机构地区 解放军理工大学
出处 《光电技术应用》 2013年第5期33-35,45,共4页 Electro-Optic Technology Application
关键词 MATLAB图像处理 数码迷彩 马赛克 MATLAB image processing digital camouflage mosaic
  • 相关文献

参考文献5

二级参考文献36

  • 1徐英.基于背景代表色提取的迷彩伪装颜色选取算法[J].光电工程,2007,34(1):100-103. 被引量:28
  • 2Mathworks Inc.. Matlab[Z]. (1994-07-10). http://www, matlab.com.
  • 3梅金凤,贾永科,文建贤,等.GJB798-90-1990伪装涂料漆膜颜色[S].总参工程兵部,1990.
  • 4章毓敏.图像工程[M].第二版.北京:清华大学出版社,2005.
  • 5Moorhead I R, Gilmore M A, Oxford D, et al. CAMEO-SIM: A Physics-based Broadband Scene Simulation Tool for Assessment of Camouflage, Concealment, and Deception Methodologies[J]. Optical Engineer, 2001, 40(9): 1896-1905.
  • 6Wigren C. Assessment of Concealing Countermeasures[C]//Proc. of SPIE'02. Bellingham, WA, USA: [s. n.], 2002.
  • 7Gonzalez R C,Woods RE.Digital Image Processing:2nd Edition[M].Addison Wesley Publishing Company,2002:68-124.
  • 8Linda G Shapiro,George C Stockman.Computer Vision[M].Prentice Hall,2001:31-57.
  • 9李汉斌.伪装技术[M].北京:解放军出版社,2001.124-126.
  • 10刘海宾,何希勤,刘向东.基于分水岭和区域合并的图像分割算法[J].计算机应用研究,2007,24(9):307-308. 被引量:14

共引文献52

同被引文献25

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部