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Multi-sensor Image Registration Using Normalized Mutual Information and Gradient Orientation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(6), pp.37-48
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

주재용 1 Min-Jae Kim 1 Bonhwa Ku 1 Hanseok Ko 1

1고려대학교

Accredited

ABSTRACT

Image registration is a process to establish the spatial correspondence between the images of same scene, which are acquired at different view points, at different times, or by different sensors. In this paper, we propose an effective registration method for images acquired by multi-sensors, such as EO (electro-optic) and IR (infrared) sensors. Image registration is achieved by extracting features and finding the correspondence between features in each input images. In the recent research, the multi-sensor image registration method that finds corresponding features by exploiting NMI (Normalized Mutual Information) was proposed. Conventional NMI-based image registration methods assume that the statistical correlation between two images should be global, however images from EO and IR sensors often cannot satisfy this assumption. Therefore the registration performance of conventional method may not be sufficient for some practical applications because of the low accuracy of corresponding feature points. The proposed method improves the accuracy of corresponding feature points by combining the gradient orientation as spatial information along with NMI attributes and provides more accurate and robust registration performance. Representative experimental results prove the effectiveness of the proposed method.

Citation status

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This paper was written with support from the National Research Foundation of Korea.