Towards Optimal Image Stitching for Virtual Microscopy

  • Authors:
  • Ben Appleton;Andrew P. Bradley;Michael Wildermoth

  • Affiliations:
  • University of Queensland;University of Queensland;University of Queensland

  • Venue:
  • DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
  • Year:
  • 2005

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Abstract

In this paper we present an image stitching method based on dynamic programming and describe its application to automated slide acquisition for Virtual Microscopy (VM). Given a large number of fields of view (FOVs) acquired from a single microscope slide, we composite these images into a single large 'virtual slide' image. The location of each FOV is determined using a new algorithm based on dynamic programming. We compare the performance of the proposed algorithm to an existing greedy algorithm. In a visual trial it is shown that the new algorithm provides a significant improvement in perceived image quality at image boundaries compared to the existing algorithm.