Multisource data registration based on NURBS description of contours

  • Authors:

  • C. Pan;Z. Zhang;H. Yan;G. Wu;S. Ma

  • Affiliations:

  • National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.R. China;College of Information Technology, Hebei Normal University, Shijiazhuan, Hebei Province, P.R.China;College of Information and Engineering, Geo-detection Laboratory, Ministry of Education and Land Resources Information Development Research Laboratory, China University of Geosciences, Beijing, P. ...;National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.R. China;National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.R. China

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2008

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Abstract

This paper presents a novel contour-based approach for multisource image registration. The contours are parameterized with Non-Uniform Rational B-Splines (NURBS). The control points of parametric contours are used as contour descriptor for image registration due to their invariance under affine and perspective transformations. The distance of control points, and the curvature and orientation similarity of the corresponding segments induced by the control points are considered as the matching criteria, and mismatching of control points can be avoided effectively because of the local controllability of NURBS. Therefore, the method is able to deal with the case in which the corresponding contours are locally distorted. Additionally, the NURBS description of contours has the strong global property; the method is therefore robust to image noise. In order to improve robustness, we perform the extraction and labelling of contours interactively. The experiments on both single-sensor and multisource data registration demonstrate the effectiveness and robustness of the presented method.