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基于NSCT和矩阵F-范数的图像检索方法
引用本文:关永洪.基于NSCT和矩阵F-范数的图像检索方法[J].四川理工学院学报(自然科学版),2012,25(4):52-54.
作者姓名:关永洪
作者单位:四川理工学院计算机学院,四川自贡,643000
摘    要:介绍一种基于非下采样轮廓波Nonsubsampled Contourlet(NSCT)和矩阵F-范数的图像检索(CBIR)技术。首先对图像进行NSCT变换,然后将变换结果用矩阵F-范数构建特征向量,设计了两个特征向量相似度度量,最后给出加权相似度实现了图像检索。实验结果表明,该技术具有很好的检索率。

关 键 词:非下采样轮廓波  图像检索  矩阵F-范数

Texture Image Retrieval Based on NSCT and Matrix F-norm
GUAN Yong-hong.Texture Image Retrieval Based on NSCT and Matrix F-norm[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2012,25(4):52-54.
Authors:GUAN Yong-hong
Affiliation:GUAN Yong-hong(School of Computer Science,Sichuan University of Science & Engineering,Zigong 643000,China)
Abstract:A new method for texture image retrieval based on Nonsubsampled Contourlet(NSCT) and matrix F-norm is proposed.Firstly,image decomposition is conducted with non-subsampled Contourlet transform.Then the F-norm of each sub-image and each sub-image’s texture features is computed,similarity of the two feature vector is designed.Finally,the image retrieval is achieved based on weight distance measure.The performance of proposed image retrieval method is better than that of the approach of the traditional method.
Keywords:texture image retrieval  non-subsampled contourlet transform  matrix F-norm
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