Automatic subarea selection for image registration

Details Automatic subarea selection for image registration Automatic subarea selection for image registration

1994-10-12

1996-02-27

Mancuso, Joseph

Image analysis

Image transformation or preprocessing

Changing the image coordinates

G06K 932

Patent

active

054955408

ABSTRACT:
A method for automatically selecting subareas from reference image data such that registration accuracy is optimized between images. Optimal subarea selection reduces the on-line computation and reference data storage required for multi-subarea correlation or, alteratively, improves its effectiveness. Example results for a synthetic aperture radar (SAR) image are described. The results indicate that the automatic subarea selection method of the present invention reduces on-line computation by a factor of 2 to 3 (relative to random subarea selection) without degradation in accuracy. The present selection method minimizes the predicted total mean squared registration error (MSE). The total MSE is predicted in terms of the position and predicted measurement covariance (derived from local image statistics) of each candidate subarea. Combinatorial optimization procedures select a predetermined number of subareas to minimize total MSE. The present method jointly considers the quality and position for each local measurement, optimally handles any order polynomial model, and includes bounds on the uncertainty of registration parameters.

REFERENCES:
patent: 5086346 (1992-02-01), Fujisawa
patent: 5163100 (1992-11-01), Mathieu et al.
patent: 5175808 (1992-12-01), Sayre
patent: 5193126 (1993-03-01), Matsuki

Affiliated with

Also associated with

Rating

Automatic subarea selection for image registration does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automatic subarea selection for image registration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic subarea selection for image registration will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1685105