Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2011-03-22
2011-03-22
Le, Vu (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S103000, C382S199000, C382S296000
Reexamination Certificate
active
07912321
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.
REFERENCES:
patent: 5115477 (1992-05-01), Groezinger
patent: 5495540 (1996-02-01), Frankot et al.
patent: 5640200 (1997-06-01), Michael
patent: 5848198 (1998-12-01), Penn
patent: 6009212 (1999-12-01), Miller et al.
patent: 6553152 (2003-04-01), Miller et al.
patent: 6738532 (2004-05-01), Oldroyd
patent: 6798897 (2004-09-01), Rosenberg
patent: 2004/0156561 (2004-08-01), Yu-Chuan et al.
Gut et al “Edge-based robust image registration for incomplete and partly erroneous data”, Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns , pp. 309-316 Year of Publication: 2001.
Karl C. Walli, “Automated Multisensor Image Registration,” aipr, p. 103, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003.
Jobse et al, A new algorithm for the registration of portal images to planning images in the verification of radiotherapy, as validated in prostate treatments, Med. Phys. 30 .9., Sep. 2003.
Wang et al, “Objective Assessment of Image Registration Results Using Statistical Confidence Intervals” IEEE Transactions on Nuclear Science, vol. 48, No. 1, Feb. 2001.
Hero et al,“Consistency Set Estimation for PET Image Reconstruction”, Proc. of Conf. on Information Sciences and Systems Johns Hopkins Univ Mar. 24-26, 1993.
S. Erturk, “Image sequence stabilization based on Kalman filtering of frame positions,” Electronic Letters, Sep. 2001, vol. 37, No. 20, pp. 1217- .
J. Michael Fitzpatrick et al, “The Distribution of Target Registration Error in Rigid-Body Point-Based Registration”, IEEE Transactions on Medical Imaging, vol. 20 No. 9, Sep. 2001, pp. 917-927.
David T. Gregorich et al, “Verification of AIRS Boresight Accuracy Using Coastline Detection”, IEEE Transactions on Geoscience and Remote Sensing, Feb. 2003, vol. 41, No. 2, pp. 298-302.
Charles S. Kenney et al, “A Condition Number for Point Matching with Application to Registration and Postregistration Error Estimation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 2003, vol. 25, No. 11, pp. 1437-1454.
David G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 2004, vol. 60, No. 2, pp. 91-110.
Prabal Nandy et al, “Edge-Based Correlation Image Registration Algorithm for the Multispectral Thermal Imager (MTI)”, Proceedings of SPIE, vol. 5425, pp. 197-207.
P. Pope et al, “Automated image registration (AIR) or MTI imagery”, Proceedings of SPIE, 2003, vol. 5093, pp. 294-305.
Barbara Zitova et al, “Image registration methods: a survey”, Image and Vision Computing 21, 2003, pp. 977-1000.
Allison Andrae S
Ashby Carol I
Le Vu
Sandia Corporation
LandOfFree
Image registration with uncertainty analysis does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image registration with uncertainty analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image registration with uncertainty analysis will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2777248