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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:
 [1]
  1. Cedar Crest, NM
Issue Date:
Research Org.:
Sandia Corporation (Albuquerque, NM)
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) NNSASC
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.
Simonson, Katherine M. Image registration with uncertainty analysis. United States.
Simonson, Katherine M. Tue . "Image registration with uncertainty analysis". United States. https://www.osti.gov/servlets/purl/1015594.
@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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {3}
}

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