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利用NSCT和Krawtchouk矩进行图像检索
引用本文:吴一全,武燕燕. 利用NSCT和Krawtchouk矩进行图像检索[J]. 武汉大学学报(信息科学版), 2011, 0(6): 691-694
作者姓名:吴一全  武燕燕
作者单位:南京航空航天大学信息科学与技术学院;
基金项目:国家自然科学基金资助项目(60872065)
摘    要:
提出了一种基于非下采样Contourlet变换(nonsubsampled contourlet transform,NSCT)和Krawtchouk矩的图像检索算法。首先,通过NSCT对图像进行分解,提取每个分解层次上不同方向子带系数分布的数学特征作为图像的纹理特征;然后,利用Krawtchouk矩描述图像的形状特征;最后,根据加权的相似性度量实现图像检索。实验结果表明,所提取的特征向量具有平移、旋转、尺度不变性,且能获得更高的检索精度。

关 键 词:图像检索  非下采样Contourlet变换(NSCT)  Krawtchouk矩  纹理特征  形状特征

Image Retrieval Based on NSCT and Krawtchouk Moments
WU Yiquan WU Yanyan. Image Retrieval Based on NSCT and Krawtchouk Moments[J]. Geomatics and Information Science of Wuhan University, 2011, 0(6): 691-694
Authors:WU Yiquan WU Yanyan
Affiliation:WU Yiquan1 WU Yanyan1(1 School of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,29 Yudao Street,Nanjing 210016,China)
Abstract:
To further improve the accuracy of image retrieval,an algorithm based on nonsubsampled contourlet transform(NSCT) and Krawtchouk moments is proposed.Firstly,the image is decomposed to the low resolution image with NSCT,extracting the contourlet coefficients of each decomposition level of different direction and using the statistical features of the coefficients as texture features of the image.Then,the Krawtchouk moments are employed to extract shape features of the image.Finally,the image retrieval is achi...
Keywords:image retrieval  nonsubsampled contourlet transform  Krawtchouk moment  texture feature  shape feature  
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