SIFT-NMI Algorithm for Image Matching

SIFT-NMI algorithm is proposed for image matching based on SIFT (Scale-invariant feature transform) and NMI (Normalized Moment of Intertia) algorithm in this paper. Firstly, the SIFT algorithm is used to obtain the coordinates and vector matrix of the image's feature points. Then, the moment of...

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Bibliographic Details
Published in2011 International Conference on Control, Automation and Systems Engineering pp. 1 - 4
Main Authors Gang Xu, Chen Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Accuracy
Algorithm design and analysis
Clustering algorithms
Computers
Image matching
Kernel
Transforms
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ISBN1457708590
9781457708596
DOI10.1109/ICCASE.2011.5997537

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Summary:SIFT-NMI algorithm is proposed for image matching based on SIFT (Scale-invariant feature transform) and NMI (Normalized Moment of Intertia) algorithm in this paper. Firstly, the SIFT algorithm is used to obtain the coordinates and vector matrix of the image's feature points. Then, the moment of intertia of the vector is obtained based on NMI algorithm and the pairs of matching features points are determined via setting the threshold. Ultimately, the best pairs of feature points are selected via ant colony. Matlab simulation results show that the SIFT-NMI algorithm overcomes the defects of the SIFT algorithm and NMI algorithm, since SIFT algorithm cannot do quantitative calculation and NMI algorithm cannot calculate affine image; by using SIFT-NMI algorithm we can improve the accuracy and speed of matching.
ISBN:1457708590
9781457708596
DOI:10.1109/ICCASE.2011.5997537