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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
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:级联图像变换  图像检索  图像相似性  线性相似性  小波变换  
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
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