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:
-
- Cedar Crest, NM
- Publication Date:
- 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.
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 = {},
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