Automatic pixel selection criteria for image registration

  • Authors:

  • Paula M. Tristan;Ruben S. Wainschenker;Jorge H. Doorn

  • Affiliations:

  • Computer Science, UNICEN and System Engineering, Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina;Departamento de Computación y Sistemas, Universidad Nacional del Centro;Departamento de Computación y Sistemas, Universidad Nacional del Centro

  • Venue:
  • ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Image registration is the process of matching two or more images. It involves choosing one image as reference. The remaining images are modified to match the one chosen as reference. Two images match between them whenever every region of the original scene is mapped on the same set of pixels in both images. The registration problem consists in finding the geometric transformation to accomplish the required modification of the image. Over the years, a broad range of techniques have been developed for the various types of images and transformations. Existing automatic image registration algorithms use all the pixels of an image. This does not take into account the fact that the information content of different pixels may be rather different. Information content is measured in relation with its contribution to define the geometric transformation. This paper introduces a method that automatically identifies pixels with high content of information. Pixels with low content of information are discarded.