计算机科学 ›› 2010, Vol. 37 ›› Issue (4): 261-.

• 图形图像及体系结构 • 上一篇    下一篇

改进的TNAM二值图像表示方法

方少红,郑运平,陈传波   

  1. (华中科技大学软件学院 武汉430074);(华南理工大学计算机科学与工程学院 广州510006)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受863国家重点基金项目(2006AA04Z211),国家自然科学基金(60873031)资助。

Binary Image Representation Method Using Improved TNAM

FANG Shao-bong,ZHENG Yun-ping,CHEN Chuan-bo   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出了一种改进的TNAM二值图像表示方法,简称ITNAM表示方法。给出了ITNAM算法的形式化描述,并对其存储结构、总数据量和时空复杂性进行了详细的分析。以图像处理领域里惯用的标准'Lena' , 'Baboon'和'Peppers'等二值图像作为典型测试对象,对其进行了理论分析和实验,结果表明,与新提出的TNAM方法和经典的线性四元树表示方法相比,ITNAM表示方法具有更少的子模式数(或节点数),能够更有效地减少数据存储空间,是二值图像模式的一种更优的表示方法。

关键词: 二值图像表示,三角形,NAM,线性四元树

Abstract: A binary image representation method using the improved TNAM (Triangle Non-symmetry and Anti-pateking pattern representation Model) , which is called the ITNAM representation method, was proposed. Also, a concrete algorithm of the ITNAM for binary images was presented and the storage structure, the total data amount, and the time and space complexities of the proposed algorithm were analyzed in detail. By taking some idiomatic standard images,such as‘Lena',`Baboon' and‘Peppers',in the field of image processing as some typical test objects, and comparing the algorithm of the IhNAM with those of the classic linear quadtree (LQT) and the latest TNAM,the theoretical and experimental results show that the former is obviously superior to the latters with respect to the numbers of subpatterns or nodes and the data storage, and therefore it is a better method to represent binary images.

Key words: Binary image representation, Triangle, Non-symmetry and anti-packing model, Linear quadtree

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!