• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (3): 55-58.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于三角形和正方形的NAM灰度图像表示方法研究

易文明,肖人彬,郑运平   

  1. (华中科技大学管理学院,湖北 武汉 430074)
  • 收稿日期:2009-01-10 修回日期:2009-04-09 出版日期:2010-03-10 发布日期:2010-03-10
  • 通讯作者: 郑运平 E-mail:zypdragon@163.com
  • 作者简介:易文明(1981),男,河南郑州人,博士生,研究方向为虚拟企业、图像处理等;肖人彬,教授,博士生导师,研究方向为虚拟企业、图像处理、模式识别等;郑运平,博士,研究方向为计算机图形图像处理与模式识别。

Research on a Representation Method of Gray  Iages Based on NAM with Triangles and Squares

 YI Wen-Ming, XIAO Ren-Bin, ZHENG Yun-Ping   

  1. (School of Management,Huazhong University of Science and Technology,Wuhan 430074)
  • Received:2009-01-10 Revised:2009-04-09 Online:2010-03-10 Published:2010-03-10
  • Contact: ZHENG Yunping E-mail:zypdragon@163.com

摘要:

非对称逆布局模型(NAM)适用于图像模式、语音模式、文本模式、视频模式的表示,是一个通用的模式表示模型。图像表示是计算机图形学、计算机视觉、机器人、图像处理和模式识别等领域里的一个重要问题。借助于三角形和正方形Packing问题的思想,本文提出了一种基于三角形和正方形的NAM灰度图像表示方法,简称NAMTS表示方法。给出了灰度图像的NAMTS表示算法,并对其存储结构和总数据量进行了详细分析。理论分析和实验结果表明:与经典的基于线性四元树的表示方法相比,基于三角形和正方形的NAM灰度图像表示方法能更有效地减少子模式数和数据存储空间,是灰度图像的一种良好的表示方法。

关键词: 图像表示, 灰度图像, 非对称逆布局模型, 线性四元树, 三角形, 正方形

Abstract:

The Nonsymmetry and Antipacking Model (NAM) is suitable for the representation of image patterns, audio patterns, video patterns, and text patterns, and it is a general pattern representation model. Image representation is an important issue in computer graphics, computer vision, robotics, image processing and pattern recognition. A representation method of gray images based on NAM with Triangles and Squares, which is called NAMTS representation method, is proposed in this paper. Also, a concrete algorithm of the NAMTS for gray images is presented and the storage structure and total data amount of the proposed algorithm are analyzed in detail. By comparing the algorithm of the NAMTS with that of the classic linear quadtrees, the theoretical and experimental results show that the former is obviously superior to the latter with respect to the numbers of subpatterns or nodes and the data storagespace, and therefore it is a better method to represent gray images.

Key words: image representation;gray image;NAM;liear quadtree;triangle;square

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