Journal of Zhejiang University-SCIENCE A

, Volume 7, Issue 4, pp 549–555 | Cite as

Multi-sensor image registration using multi-resolution shape analysis

Article
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Abstract

Multi-sensor image registration has been widely used in remote sensing and medical image field, but registration performance is degenerated when heterogeneous images are involved. An image registration method based on multi-resolution shape analysis is proposed in this paper, to deal with the problem that the shape of similar objects is always invariant. The contours of shapes are first detected as visual features using an extended contour search algorithm in order to reduce effects of noise, and the multi-resolution shape descriptor is constructed through Fourier curvature representation of the contour’s chain code. Then a minimum distance function is used to judge the similarity between two contours. To avoid the effect of different resolution and intensity distribution, suitable resolution of each image is selected by maximizing the consistency of its pyramid shapes. Finally, the transformation parameters are estimated based on the matched control-point pairs which are the centers of gravity of the closed contours. Multi-sensor Landsat TM imagery and infrared imagery have been used as experimental data for comparison with the classical contour-based registration. Our results have been shown to be superior to the classical ones.

Key words

Image registration Shape descriptor Feature matching Multi-resolution representation 

CLC number

TP391 

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Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Yuan Zhen-ming 
    • 1
    • 2
  • Wu Fei 
    • 1
  • Zhuang Yue-ting 
    • 1
  1. 1.School of Computer Science and TechnologyZhejiang UniversityHangzhouChina
  2. 2.School of Information EngineeringHangzhou Teacher’s CollegeHangzhouChina

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