Image Registration Based on Mutual Information and Harris Corner Points

You E Cheng

doi:10.4028/www.scientific.net/AMM.220-223.2199

Paper Titles

Optimal Approximate Solution of a Class of Matrix Equation
p.2180

Time Scale Variation of the Yellow River Ice in the Inner Mongolia Section Using Wavelet Analysis
p.2184

Synergetic Multi-Semantic Multi-Instance Learning for Scene Recognition
p.2188

Dual-Butterfly Parallel Access Constant Geometry Pipeline Radix-2 FNT Algorithm
p.2192

Image Registration Based on Mutual Information and Harris Corner Points
p.2199

Object Annotation Based on Middle Semantic Manifold
p.2204

Motion Compensation Based on Keystone Transform and Wigner-Hough Transform
p.2208

Object Remarkable Features Extraction Strategy Based on Imagery Conceptual Network
p.2213

BOU-Based Cycle Determination for Different Kinds of Mechanical Vibration Signals
p.2217

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Image Registration Based on Mutual Information and...

Image Registration Based on Mutual Information and Harris Corner Points

Abstract:

A maximization of mutual information based image registration method is described. Firstly Due to the inferiority of image registration using maximum mutual information, the registration based on Harris algorithm to obtain corner points. Secondly, the one to one matching points could be obtained through mutual information rough match. Finally, the search strategy used the improved genetic algorithm to find the optimum value. Experimental results indicate the proposed algorithm can achieve better accuracy and good robust.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

2199-2203

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.2199

Citation:

Cite this paper

Online since:

November 2012

Authors:

You E Cheng

Keywords:

Harris Algorithm, Image Registration, Mutual Information (MI), Optimum Value

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] le Moigne, J. First evaluation of automatic image registration methods[J] . Proc.Int'l.Geoscience and Remote Sensing Symposium, IGARSS'98,1998, 315－317.

DOI: 10.1109/igarss.1998.702890

Google Scholar

[2] Jacobs D. W. Robust and efficient detection of salient convex groups. IEEE Trans on PAMI, 1996, 8(1): 23-37.

Google Scholar

[3] Rangarajan.Virtual circles:a new set of features for fast image registration[J] . Pattern Recognition Letters,2003,24(8):1181－1190.

DOI: 10.1016/s0167-8655(02)00300-8

Google Scholar

[4] Copper J, Svetha and Kitchen L. Early jump-out corner detectors. IEEE Trans on PAMI, 1993, 15: 823-828.

DOI: 10.1109/34.236246

Google Scholar

[5] Lin R.S, Chu C.H and Hseh Y C. A modified morphological corner detector. Pattern Recognition Letters, 1991, 32: 141-221.

Google Scholar

[6] C. Harris and M. Stephens. A combined corner and edge detector. Proc. 4th Alvey Vision Conf, 1998: 147-151.

Google Scholar

[7] F.Maes, A.Collignon, D.Vandermeulen, G.Marchal, and P.Suetens, multimodality image registration by maximization of mutual information[J]. IEEE Trans on Medical Imageing, 1997,16(2): 187-198.

DOI: 10.1109/42.563664

Google Scholar

[8] P.A. Viola, W.M. Wells Ⅲ,Alignment by maximization of mutual information[J]. International Journal of Computer Vision, 1997,24(2): 137-154.

Google Scholar