ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION

Cheng Fang; Zhu Minhui; Wu Yirong

Volume 23 Issue 11

Nov. 2001

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Cheng Fang, Zhu Minhui, Wu Yirong. ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1071-1076.

Citation:

Cheng Fang, Zhu Minhui, Wu Yirong. ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1071-1076.

Cheng Fang, Zhu Minhui, Wu Yirong. ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1071-1076.

Citation:

Cheng Fang, Zhu Minhui, Wu Yirong. ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1071-1076.

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ADJUSTED POLYNOMIAL METHOD FOR IMAGE REGISTRATION

Received Date: 2000-03-21
Rev Recd Date: 2000-10-23
Publish Date: 2001-11-19

Abstract

Abstract

To counter the disadvantage of polynomial method for image registration, this paper studies the image registration method applying orthogonal polynomials and weighted orthogonal polynomials. The results show that the method of orthogonal polynomials is more flexible; and the method of weighted orthogonal polynomials has good local characters. Finally, the experimental results of these methods are compared and testified.

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References

W.A. Davis, S. K. Kenue, Automatic selection ot control points ffor the registration otf digital images, in Proc.4 Int. Joint Conf. Pattern Recognition, 1978, 936-938.[2]丁丽娟编著,数值计算方法,北京,北京理工大学出版社,1997年,第3-4章.[3]G.C. Stockman, S. Kopstein, S. Benett, Matching images to models forregistration and object detection via clustering, IEEE Trans. on Pattern Anal. Machine Intell., 1982, Vol.3, 229-241.

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