US5274236A
Expired / Lapsed
US
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Method and apparatus for registering two images from different sensors
Assignee: Northrop Grumman Systems Corp
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Filing: 1992-12-16
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Granted: 1993-12-28
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Expires: 2012-12-16
Abstract
Abstract A method and apparatus for registering two images from different sensors including receiving a first and second image, detecting hot spots in the first and second images, respectively, pairing each of the hot spots in the first image with all the hot spots in the second image that are within a predetermined mapping distance to produce a mapping between the hot spots of the first and second images, refining the mapping produced by selecting one of the hot spots of the second image for each of the hot spots of the first image utilizing a least mean squares method, producing a registered image from the refined mapping, and outputting the registered image.
Inventors
- 👤 Michael V. Pascale
- 👤 Thomas J. Neufelder
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-07 19:15
CPC Classifications
G; G06; G06T; G06T3/00; G06T3/14; F; F41; F41G; F41G7/00; F41G7/007; F41G7/20; F41G7/22; F41G7/2226; F41G7/2253; F41G7/2273; F41G7/2293
Claims Analysis
Total Claims: 16
Claim 1
Independent Claim
170 words
An image registration apparatus comprising: first input means for receiving a first image; second input means for receiving a second image; first detecting means for detecting hot spots in the first image; second detection means for detecting hot spots in the second image; pairing means for pairing each of the hot spots in the first image with all the hot spots in the second image that are within a predetermined mapping distance to produce a mapping between the hot spots of the first and second images; refining means for refining the mapping produced by said pairing means by selecting one of the hot spots of the second image for each of the hot spots of the first image; wherein said refining means utilizes a least mean squares method for determining the selected one of the hot spots of the second image for each of the hot spots of the first image; registration means for producing a registered image from the refined mapping; and output means for outputting the registered image.
Claim 2
Dependent Claim
170 words
An image registration apparatus comprising: first input means for receiving a first image; second input means for receiving a second image; first detecting means for detecting hot spots in the first image; second detection means for detecting hot spots in the second image; pairing means for pairing each of the hot spots in the first image with all the hot spots in the second image that are within a predetermined mapping distance to produce a mapping between the hot spots of the first and second images; refining means for refining the mapping produced by said pairing means by selecting one of the hot spots of the second image for each of the hot spots of the first image; wherein said refining means utilizes a least mean squares method for determining the selected one of the hot spots of the second image for each of the hot spots of the first image; registration means for producing a registered image from the refined mapping; and output means for outputting the registered image.
Claim 3
Dependent Claim
67 words
The image registration apparatus of claim 1, wherein said refining means produces an error signal representative of a difference between the selected one of the hot spots of the second image and the hot spot of the first image for each of the hot spots of the first image, said error signal being fed back to said first and second input means as a control loop signal.
Claim 4
Dependent Claim
45 words
The image registration apparatus of claim 1, wherein said first input means is a FLIR system gimbal and the first image is a FLIR image and said second input means is a missile IR image gimbal and the second image is a missile IR image.
Claim 5
Dependent Claim
66 words
The image registration apparatus of claim 3, said pairing means including, translation means for correcting translational errors between said FLIR system gimbal and said missile IR image gimbal, rotation means for correcting for rotational errors between said FLIR image gimbal and said missile IR image gimbal, and optical means for correcting optical and sensitivity differences between said FLIR system gimbal and said missile IR image gimbal.
Claim 6
Dependent Claim
25 words
The image registration apparatus of claim 4, wherein said optical means corrects for non-linearities between the FLIR system gimbal and the missile IR image gimbal.
Claim 7
Dependent Claim
46 words
The image registration apparatus of claim 1, wherein said refining means refines the mapping by selecting the one of the hot spots of the second image, for each of the hot spots of the first image, with the smallest average squared distance from an optimal plane.
Claim 8
Dependent Claim
19 words
The image registration apparatus of claim 4, wherein the mapping to be refined is represented by: ##EQU19## where ##EQU20##
Claim 9
Dependent Claim
152 words
An image registration method comprising the steps of: a) receiving a first image; b) receiving a second image; c) detecting hot spots in the first image; d) detecting hot spots in the second image; e) pairing each of the hot spots in the first image with all the hot spots in the second image that are within a predetermined mapping distance to produce a mapping between the hot spots of the first and second images; f) refining the mapping produced in said step e) by selecting one of the hot spots of the second image for each of the hot spots of the first image; wherein step f) utilizes a least mean squares method for determining the selected one of the hot spots of the second image for each of the hot spots of the first image; g) producing a registered image from the refined mapping; and h) outputting the registered image.
Claim 10
Dependent Claim
152 words
An image registration method comprising the steps of: a) receiving a first image; b) receiving a second image; c) detecting hot spots in the first image; d) detecting hot spots in the second image; e) pairing each of the hot spots in the first image with all the hot spots in the second image that are within a predetermined mapping distance to produce a mapping between the hot spots of the first and second images; f) refining the mapping produced in said step e) by selecting one of the hot spots of the second image for each of the hot spots of the first image; wherein step f) utilizes a least mean squares method for determining the selected one of the hot spots of the second image for each of the hot spots of the first image; g) producing a registered image from the refined mapping; and h) outputting the registered image.
Claim 11
Dependent Claim
66 words
The image registration method of claim 8, wherein said step f) produces an error signal representative of a difference between the selected one of the hot spots of the second image and the hot spot of the first image for each of the hot spots of the first image, said error signal being fed back to said steps a) and b) as a control loop signal.
Claim 12
Dependent Claim
25 words
The image registration method of claim 8, wherein the first image is a FLIR system image and the second image is a missile IR image.
Claim 13
Dependent Claim
62 words
The image registration method of claim 10 said step e) including the sub-steps of, (e)(1) correcting for translational errors between the FLIR system image and the missile IR image, (e)(2) correcting for rotational errors between the FLIR system image and the missile IR image, and (e)(3) correcting for optical and sensitivity differences between the FLIR system image and the missile IR image.
Claim 14
Dependent Claim
24 words
The image registration method of claim 11, wherein said sub-step (e)(3) corrects for non-linearities between the FLIR system image and the missile IR image.
Claim 15
Dependent Claim
46 words
The image registration method of claim 8, wherein said step (e) refines the mapping by selecting the one of the hot spots of the said image, for each of the hot spots of the first image, with the smallest average squared distance from an optimal plane.
Claim 16
Dependent Claim
19 words
The image registration method of claim 11, wherein the mapping to be refined is represented by: ##EQU21## where: ##EQU22##
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1996-12-27 | 1997-06-28 | 1997-12-28 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2000-12-27 | 2001-06-28 | 2001-12-28 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2004-12-27 | 2005-06-28 | 2005-12-28 | $7700.00 | Window Closed / Lapsed |