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Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
Ding N.; Liu Y.
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Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.  


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