Patent US4933872A successfully refreshed from Google Patents.
US4933872A
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Method and system for wavefront reconstruction
Assignee: Eastman Kodak Co
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Filing: 1988-11-15
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Granted: 1990-06-12
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Expires: 2008-11-15
Abstract
Abstract Method and system for wavefront reconstruction from an image plane intensity distribution profile. An imaging device may be an agent for producing the image plane intensity distribution profile, for example, a point spread function. In one embodiment, the method and system include defining a feature vector from the point spread function, and employing an adaptive computational architecture for associating the feature vector with at least one identifying characteristic of the imaging device, e.g., such as an amount of astigmatism.
Inventors
- 👤 Donald E. Vandenberg
- 👤 John C. Weaver
- 👤 Harold J. Liff
- 👤 Thomas C. Antognini
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-26 17:46
CPC Classifications
G; G01; G01J; G01J9/00; G02; G02B; G02B27/00; G02B27/0025; G06; G06N; G06N3/00; G06N3/02; G06N3/04; G06N3/0499; G06N3/08; G06N3/09; G06T; G06T5/00; G06T5/60; G06T5/73; G06V; G06V10/00; G06V10/40; G06V10/42; G16; G16H; G16H50/00; G16H50/20; G06T2207/00; G06T2207/20; G06T2207/20084; Y; Y10; Y10S; Y10S706/00; Y10S706/902; Y10S706/911; Y10S706/912; Y10S706/924
Claims Analysis
Total Claims: 25
Claim 1
Independent Claim
120 words
A method to be employed in conjunction with a radiation system, the radiation system comprising: (a) at least one source of radiation; (b) at least one imaging device for imaging at least a portion of the radiation emitted by the or each source onto at least one image plane; the or each imaging device functioning to produce at the image plane an intensity distribution profile; and (c) a detector array for recording the intensity distribution profile at the image plane; the method comprising the steps of: (1) defining a feature vector derived from the intensity distribution profile; and (2) employing an adaptive computational architecture for mapping the feature vector to at least one identifying characteristic of a selected imaging device.
Claim 2
Independent Claim
120 words
A method to be employed in conjunction with a radiation system, the radiation system comprising: (a) at least one source of radiation; (b) at least one imaging device for imaging at least a portion of the radiation emitted by the or each source onto at least one image plane; the or each imaging device functioning to produce at the image plane an intensity distribution profile; and (c) a detector array for recording the intensity distribution profile at the image plane; the method comprising the steps of: (1) defining a feature vector derived from the intensity distribution profile; and (2) employing an adaptive computational architecture for mapping the feature vector to at least one identifying characteristic of a selected imaging device.
Claim 3
Dependent Claim
23 words
A method according to claim 1, comprising deriving the feature vector from a point spread function produced by a point source of radiation.
Claim 4
Dependent Claim
26 words
A method according to claim 1, wherein the intensity distribution profile is recorded from an extended source for deriving the feature vector comprising power spectral components.
Claim 5
Dependent Claim
16 words
A method according to claim 1, comprising deriving the feature vector from a multi-dimensional moment vector.
Claim 6
Dependent Claim
65 words
A method according to claim 4, wherein the moment vector is defined by the equation M.sub.pq =∫∫x.sup.p y.sup.q ρ.sub.n (x,y)dxdy where, ρ n (x,y)=a point spread function; x p y q is a weighting factor for each moment; p,q are a pair of order variables for determining a particular moment; and x,y are a pair of position variables with respect to the point spread function.
Claim 7
Dependent Claim
57 words
A method according to claim 1, comprising learning steps of deriving the feature vector by: (a) inserting into the radiation system a set of n different imaging devices, each imaging device having known aberrations, for yielding n unique point spread functions; and (b) developing a multi-dimensional moment vector for each of the n unique point spread functions.
Claim 8
Dependent Claim
15 words
A method according to claim 1, comprising deriving the feature vector from an energy spectra.
Claim 9
Dependent Claim
30 words
A method according to claim 1, wherein the step of employing the adaptive computational architecture comprises: (a) providing a preliminary learning mode; and (b) providing a subsequent real-time processing mode.
Claim 10
Dependent Claim
14 words
A method according to claim 8, comprising providing a non-linear neural network computational architecture.
Claim 11
Dependent Claim
40 words
A method according to claim 9, wherein the learning mode comprises the steps of: iteratively adjusting a set of weighting factors defined by the neural network, by associating a succesion of known feature vectors with a succession of known aberrations.
Claim 12
Dependent Claim
43 words
A method according to claim 10, wherein the real time processing mode comprises the step of: characterizing a heretofore arbitrary feature vector, by processing the arbitrary feature vector through the neural network, the characterizing, at least in part, based on the learning mode.
Claim 13
Dependent Claim
17 words
A method according to claim 8, wherein the adaptive computational architecture comprises providing a statistical learning algorithm.
Claim 14
Dependent Claim
55 words
A method according to claim 12, comprising the learning mode steps of: (a) locating a known feature vector in a multi-dimensional feature vector space, the vector space corresponding to terms of orthogonal basis vectors; and (b) developing a region in the vector space, the region defined by the known feature vector and statistical noise components.
Claim 15
Dependent Claim
28 words
A method according to claim 13, comprising the real-time processing mode step of: characterizing a heretofore arbitrary feature vector by determining its location with respect to the region.
Claim 16
Dependent Claim
100 words
A radiation system comprising: (a) at least one source of radiation; (b) at least one imaging device for imaging at least a portion of the radiation emitted by the or each source onto at least one image plane; the or each imaging device functioning to produce at the image plane an intensity distribution profile; (c) a detector array for recording the intensity distribution profile at the image plane; (d) means for defining a feature vector derived from the intensity distribution profile; and (e) means for mapping the feature vector to at least one identifying characteristic of a selected imaging device.
Claim 17
Dependent Claim
100 words
A radiation system comprising: (a) at least one source of radiation; (b) at least one imaging device for imaging at least a portion of the radiation emitted by the or each source onto at least one image plane; the or each imaging device functioning to produce at the image plane an intensity distribution profile; (c) a detector array for recording the intensity distribution profile at the image plane; (d) means for defining a feature vector derived from the intensity distribution profile; and (e) means for mapping the feature vector to at least one identifying characteristic of a selected imaging device.
Claim 18
Dependent Claim
20 words
A radiation system according to claim 15, wherein the source of radiation comprises a single point source emitting monochromatic radiation.
Claim 19
Dependent Claim
14 words
A radiation system according to claim 15, wherein the imaging device comprises a mirror.
Claim 20
Dependent Claim
14 words
A radiation system according to claim 15, wherein the imaging device comprises a lens.
Claim 21
Dependent Claim
16 words
A radiation system according to claim 15, wherein the detector array realizes a point spread function.
Claim 22
Dependent Claim
28 words
A radiation system according to claim 15, wherein the means for defining a feature vector comprises a means for deriving a moment analysis of a point spread function.
Claim 23
Dependent Claim
112 words
A radiation system according to claim 15, wherein the means for associating the feature vector with at least one identifying characteristic of a selected imaging device comprises a neural network, the neural network comprising: (a) a plurality of column input nodes, for inputting a column feature vector; (b) a plurality of non-linear column hidden nodes, each of which nodes inputs adjustable, weighted input signals w ij from each of the input nodes; (c) a plurality of column output nodes, each of which nodes accepts adjustable weighted input signals w kl from each of the hidden nodes; and (d) a plurality of column target nodes that are mated to the column output nodes.
Claim 24
Dependent Claim
66 words
A radiation system according to claim 21, wherein each of the non-linear column hidden nodes comprises: means for operating on the nodes inputs in accordance with a pair of equations (1) and (2): B.sub.i =f(Σw.sub.ij z.sub.j) (1) f(x)=1/(1+exp (-x)) (2) where, w ij =a set of weighted signals; z j =contents of an input node number j; x=Σw ij z j ; and f(x)=a non-linear discriminator.
Claim 25
Dependent Claim
88 words
A radiation system according to claim 21, wherein the neural network comprises: (a) means for operating in a preliminary learning mode by iteratively adjusting the set of weighting signals w ij and w kl , in response to associating a succession of known feature vectors with a succession of known imaging devices; and (b) means for operating in a subsequent real-time processing mode by processing an arbitrary feature vector through the neural network, and characterizing the arbitrary feature vector, at least in part, based on the learning mode.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1993-06-11 | 1993-12-11 | 1994-06-12 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1997-06-11 | 1997-12-11 | 1998-06-12 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2001-06-11 | 2001-12-11 | 2002-06-12 | $7700.00 | Window Closed / Lapsed |