Image registration with uncertainty analysis

Title: Image registration with uncertainty analysis

Abstract

In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.

Inventors:

Simonson, Katherine M ^[1]

Cedar Crest, NM

Publication Date:: 2011-03-22

Research Org.:: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1015594

Patent Number(s):: 7,912,321

Application Number:: US Patent Application 11/305,903

Assignee:: Sandia Corporation (Albuquerque, NM)

DOE Contract Number:: AC04-94AL85000

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Simonson, Katherine M. Image registration with uncertainty analysis.  United States: N. p., 2011. 
        Web.

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                    Simonson, Katherine M. Image registration with uncertainty analysis.  United States.

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                    Simonson, Katherine M. Tue .  
        "Image registration with uncertainty analysis".  United States.  https://www.osti.gov/servlets/purl/1015594.

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@article{osti_1015594,

  title        = {Image registration with uncertainty analysis},

  author       = {Simonson, Katherine M},

  abstractNote = {In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1015594},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2011},

  month        = {3}

}

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Works referenced in this record:

Optimal probabilistic fingerprint codes
conference, January 2003

Tardos, Gábor
Proceedings of the thirty-fifth ACM symposium on Theory of computing - STOC '03
https://doi.org/10.1145/780542.780561

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