广东工业大学学报 ›› 2007, Vol. 24 ›› Issue (03): 46-49.

• 综合研究 • 上一篇    下一篇

一种基于小波系数方向性的矢量分类方法

  

  1. 广东工业大学信息工程学院; 广东工业大学信息工程学院 广东广州510006; 广东广州510006;
  • 出版日期:2007-08-10 发布日期:2007-08-10

One Method of Vector Classifying Based on the Direction of Wavelet Coefficients

  1. (Faculty of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)
  • Online:2007-08-10 Published:2007-08-10

摘要: 针对基于小波变换和矢量量化的图像压缩算法,利用小波变换后系数具有明显方向性的特点以及带内小波系数的相关性,提出一种基于小波系数方向性的矢量分类方法,同时采用一种基于小波系数排序截断的阈值选取方法.实验表明该分类方法原理简单易于实现,提高了算法的整体效率,对不同的图像具有分类效果稳定的优点. 

关键词: 小波变换; 矢量分类; 阈值选取;

Abstract: A new method of vector classification,referring to the image compression algorithm based on wavelet transformation and vector quantization,is presented.It utilizes direction and correlation between wavelet coefficients.The threshold selection is based on reordered wavelet coefficients series.Experimental results demonstrate that the principle of this method is simple and available.This method has good stability in classifying different images and improves the efficiency of the image compression ...

Key words: wavelet transformation; vector classification; threshold selection;

[1] 孙即祥等编著.图像压缩与投影重建[M]. 科学出版社, 2005

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