计算机工程与科学2011，Vol.33Issue(2)：124-128,5.DOI:10.3969/j.issn.1007-130X.2011.02.024
改进的Fourier-Mellin描述子在图像匹配中的应用
Application of an Improved Fourier- Mellin Descriptor in Image Matching
摘要
Abstract
The Fourier-Mellin descriptor has been widely applied in digital image matching.However, because of the noise of spectrum aliasing and errors, the Fourier- Mellin descriptor can not be sure that the form of the changed relative value distribution is the standard two-dimensional pulse function.Based on the basis of introducing the distance formula with a kernel function, first using wavelet transform in the frequency domain extract stable feature points to form a feature vector; then the kernel function is used to amend the feature vector, thus making the formation of a standard two-dimensional pulse function, to correctly compute the matching parameters, so as to achieve the matching result of two images.The experimental results show that the new algorithm is efficient and reliable.关键词
Fourier-Mellin描述子/图像匹配/相关值分布图/核函数/特征向量Key words
Fourier-Mellin descriptor/ image matching/ related value distribution/ kernel function/feature vector分类
信息技术与安全科学引用本文复制引用
熊文真,蔡光程,张宏举..改进的Fourier-Mellin描述子在图像匹配中的应用[J].计算机工程与科学,2011,33(2):124-128,5.基金项目
昆明理工大学人才基金资助项目(2008-072) （2008-072）
云南省教育厅重点基金资助项目(2006L00001) （2006L00001）
