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计算机工程 ›› 2011, Vol. 37 ›› Issue (7): 246-248.

• 图形图像处理 • 上一篇    下一篇

基于主色共生矩阵法的数码迷彩纹理特征提取

卢 军,李 杨,赵康僆,都思丹   

  1. (南京大学电子科学与工程学院,江苏 南京 210093)
  • 出版日期:2011-04-05 发布日期:2011-03-31
  • 作者简介:卢 军(1983-),男,硕士研究生,主研方向:图像工 程,模式识别,伪装技术;李 杨,副教授、博士;赵康僆,讲师、 博士;都思丹,教授、博士生导师

Digital Camouflage Texture Feature Extraction Based on Dominant Colors and Co-occurrence Matrix

LU Jun, LI Yang, ZHAO Kang-lian, DU Si-dan   

  1. (School of Electronics Science and Engineering, Nanjing University, Nanjing 210093, China)
  • Online:2011-04-05 Published:2011-03-31

摘要: 提出一种基于主色共生矩阵法的数码迷彩纹理特征提取方法。对RWM的主色提取法和灰度共生矩阵法进行改进与综合,在RWM法中增加比例因子避免主要颜色提取错误,在灰度共生矩阵法中增加颜色因子,综合分析纹理特征。实验结果证明,采用主色共生矩阵法提取纹理特征,所设计的数码迷彩视觉伪装效果较好。

关键词: 主色, 灰度共生矩阵, 纹理特征, 数码迷彩

Abstract: This paper presents a digital camouflage texture feature extraction method based on dominant colors and co-occurrence matrix. The factor of proportion is added to RWM in extracting dominant colors, and the factor of dominant colors is added to Gray Level Co-occurrence Matrix(GLCM) in extracting texture feature. Experimental results in visual observation are good, which indicates that the method can be used in designing digital camouflage for specific environment.

Key words: dominant colors, Gray Level Co-occurrence Matrix(GLCM), texture feature, digital camouflage

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