首页 | 本学科首页   官方微博 | 高级检索  
     

图像相似性计算的级联小波变换
引用本文:丁广太,王威. 图像相似性计算的级联小波变换[J]. 上海大学学报(自然科学版), 2007, 13(5): 571-577
作者姓名:丁广太  王威
作者单位:上海大学,计算机工程与科学学院,上海,200072;上海大学,计算机工程与科学学院,上海,200072
摘    要:
研究图像不同幅度局部(子图像)小波变换之间的关系,分析这种关系下的图像相似性.首先用小波矩阵表示推导子图像小波变换之间的级联关系,在此基础上研究基于级联小波变换的线性相似性.最后以特定类型的医学图像为对象,研究子图像之间和k 规格小波相似性测度,并讨论相应的相似性测度算法.数值实验结果表明,CT、MRI图像中相邻子图像之间具有很高的线性相似性.

关 键 词:小波变换  图像相似性  线性相似性  级联图像变换  图像检索
文章编号:1007-2861(2007)05-0571-07
收稿时间:2007-05-10
修稿时间:2007-05-10

Image Similarity Based on Hierarchical Wavelet Transform
DING Guang-tai,WANG Wei. Image Similarity Based on Hierarchical Wavelet Transform[J]. Journal of Shanghai University(Natural Science), 2007, 13(5): 571-577
Authors:DING Guang-tai  WANG Wei
Affiliation:School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China
Abstract:
Scalar relationship between wavelet transforms of two sub images from two different images is discussed. Image similarity based on this relationship is defined and studied. Hierarchical wavelet transform of a local area (sub image) is demonstrated using the matrix form of wavelet transform. Based on the hierarchical wavelet transforms, linear similarity of two images of a particular type of medical images such as CT and MRI and a k-form wavelet similarity measure are discussed. The algorithm for computing similarity of two sub-images is analyzed. Numerical calculation shows effectiveness of the described similarity calculation, especially for medical images.
Keywords:wavelets transform   image similarity   linear similarity   hierarchical image transform   image retrieval
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《上海大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《上海大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号