J4 ›› 2012, Vol. 30 ›› Issue (3): 234-239.

• 论文 • 上一篇    下一篇

融合最小和统计链码与熵矩阵奇异值形状检索

康建玲|李雪妍|郭树旭|张嘉桐   

  1. 吉林大学 电子科学与工程学院|长春 130012
  • 收稿日期:2012-03-15 出版日期:2012-05-24 发布日期:2012-06-08
  • 作者简介:康建玲(1987—〓)|女|陕西武功人|吉林大学硕士研究生 |主要从事图像理解研究|(Tel)86-18943929083(E-mail)kangjianling0926@sina.com; 郭树旭(1959—)|男|长春人|吉林大学教授|博士生导师|主要从事信号检测与信号处理研究|(Tel)86-13089111921(E-mail)guosx@jlu.edu.cn。
  • 基金资助:

    吉林省科技引导计划应用基础研究基金资助项目(20090505);吉林大学自然科学基础研究基金资助项目(450060445135)

Shape Retrieval Based on Minimum Sum Statistical Chain Code and Entropy Matrix Singular Value

KANG Jian-ling|LI Xue-yan|GUO Shu-xu|ZHANG Jia-tong   

  1. College of Electronic Science and Engineering,Jilin University,Changchun 130012|China
  • Received:2012-03-15 Online:2012-05-24 Published:2012-06-08

摘要:

为解决单纯描述形状轮廓时只能描述简单形状的缺点,提出了融合最小和统计链码与熵矩阵奇异值特征的形状分类和检索方法。从结构和统计的角度综合了基于形状轮廓和区域的形状描述,同时又兼具了形状的空间分布特征。对形状区域特征扩展空间分布特征,使形状描述具有鲁棒性,形状熵矩阵奇异值具有对噪声稳定的特点,弥补了链码描述形状特征易受噪声影响的局限性。

关键词: 形状检索, 链码, 熵矩阵, 奇异值

Abstract:

To address the shortcomings of the mere description of the shape of the contour can only describe a simple shape,a fusion of the smallest and statistical chain code and the entropy matrix singular value feature shape classification and retrieval methods,a combination of structure and statistical point of view based on the shape of the contour and regionalshape description,the same time,both the shape of the spatial distribution characteristics. Regional characteristics of the shape extends the spatial distribution characteristics of shape description with the robustness,the shape of the entropy matrix singular value characteristics of the noise stability to make up the chain code to describe the shape characteristics susceptible to noise limitations. Designed and implemented a shape retrieval based on MPEG7 shape database platform,and experimental results show that the algorithm has a better rotation,translation and scale invariance in shape retrieval and matching.

Key words: shape retrieval, chain code, entropy matrix, singular value

中图分类号: 

  • TP391.41