Patent US5329381A successfully refreshed from Google Patents.
US5329381A
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Automatic engraving method and apparatus
Assignee: Fleet National Bank
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Filing: 1992-02-20
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Granted: 1994-07-12
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Expires: 2012-02-20
Abstract
Abstract An automatic engraving system scans an image such as a photograph, samples and resizes the image to provide a masterized gray scale data base of the image. The image is then logarithmically corrected and noise is removed from the image using the Outlier noise reduction method. The Outlier noise reduced image is then smoothed and edge detection methods are used to provide an output that represents the initial image filtered smoothed and edge detected. The edge detection image is then converted to a bilevel image using thresholding. The bilevel image is then converted to a vector form and speckle noise removed. The speckle noise removed image is then converted to a vector engraving file which is sent to an engraving machine. The engraving process then can batch create one or more than one image or multiple numbers of a single image. The output can be printed rather than engraved to produce the artistic effect of traditional engraving on paper.
Inventors
- 👤 John H. Payne
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-07 11:38
CPC Classifications
H; H04; H04N; H04N1/00; H04N1/40; H04N1/40093; B; B33; B33Y; B33Y50/00; H04N1/32; H04N1/32561
Claims Analysis
Total Claims: 19
Claim 1
Independent Claim
70 words
A method of automatic engraving comprising the steps of: (a) scanning an image to create a database of image points; (b) logarithmically correcting each point of the image; (c) performing edge detection on the image database to produce an edge detection image database; (d) performing a raster-to-vector conversion of the edge detection image database to generate a vector database; and (e) converting the vector database to a vector engraving file.
Claim 2
Independent Claim
70 words
A method of automatic engraving comprising the steps of: (a) scanning an image to create a database of image points; (b) logarithmically correcting each point of the image; (c) performing edge detection on the image database to produce an edge detection image database; (d) performing a raster-to-vector conversion of the edge detection image database to generate a vector database; and (e) converting the vector database to a vector engraving file.
Claim 3
Dependent Claim
18 words
The method of claim 1 further including the step of resampling and resizing the database of image points.
Claim 4
Dependent Claim
18 words
The method of claim 1 further including the step of performing thresholding on the edge detection image database.
Claim 5
Dependent Claim
27 words
The method of claim 1 further including the step of performing a bilevel image conversion to produce a bilevel image output of the edge detection image database.
Claim 6
Dependent Claim
19 words
The method of claim 1 further including the step of removing speckle noise from the edge detection image database.
Claim 7
Dependent Claim
17 words
The method of claim 1 wherein the edge detection step further comprises the Marr-Hildreth "Mexican Hat" filter.
Claim 8
Dependent Claim
16 words
The automatic engraving method of claim 1 wherein the image is copied to an engraving directory.
Claim 9
Dependent Claim
59 words
The automatic engraving method of claim 1 wherein the step of converting the vector database to a vector engraving file further comprises the step of storing the vector engraving file in a plot directory capable of compiling a plurality of vector engraving files and second the plot directory to an engraving device to produce a plurality of different engravings.
Claim 10
Dependent Claim
20 words
The method of claim 1 further including the step of performing noise reduction on the logarithmic correction of the image.
Claim 11
Dependent Claim
20 words
The method of claim 9 wherein the noise reduction step is carried out according to an Outlier noise reduction method.
Claim 12
Independent Claim
118 words
A method of automatic engraving comprising the steps of: (a) scanning an image; (b) resampling and resizing the image; (c) logarithmically correcting each point of the image; (d) performing Outlier noise reduction on the logarithmic correction of the image; (e) smoothing the Outlier noise reduction image and producing a smoothed image; (f) performing edge detection on the smoothed image to produce an edge detection image; (g) performing thresholding on the edge detection image to produce a threshold output; (h) performing a bilevel image conversion to produce a bilevel image output; (i) performing a raster-to-vector conversion of the bilevel image output to produce a raster-to-vector converted image; and (j) converting the raster-to-vector converted image to a vector engraving file.
Claim 13
Independent Claim
118 words
A method of automatic engraving comprising the steps of: (a) scanning an image; (b) resampling and resizing the image; (c) logarithmically correcting each point of the image; (d) performing Outlier noise reduction on the logarithmic correction of the image; (e) smoothing the Outlier noise reduction image and producing a smoothed image; (f) performing edge detection on the smoothed image to produce an edge detection image; (g) performing thresholding on the edge detection image to produce a threshold output; (h) performing a bilevel image conversion to produce a bilevel image output; (i) performing a raster-to-vector conversion of the bilevel image output to produce a raster-to-vector converted image; and (j) converting the raster-to-vector converted image to a vector engraving file.
Claim 14
Dependent Claim
17 words
The method of claim 11 wherein the edge detection step further comprise the Marr-Hildreth "Mexican Hat" filter.
Claim 15
Dependent Claim
60 words
The automatic engraving method of claim 11 wherein the step of converting the raster-to-vector converted image to a vector engraving file further comprises the step of storing the vector engraving file in a plot directory capable of compiling a plurality of vector engraving files and sending the plot directory to an engraving device to produce a plurality of different engravings.
Claim 16
Independent Claim
98 words
A method of automatic printing comprising the steps of: (a) scanning an image; (b) resampling and resizing the image; (c) logarithmically correcting each point of the image; (d) performing Outlier noise reduction on the logarithmic correction of the image; (e) smoothing the Outlier noise reduction image and producing a smoothed image; (f) performing edge detection on the smooth image to produce an edge detection image; (g) performing thresholding on the edge detection image to produce a threshold output; (h) performing a bilevel image conversion to produce a bilevel image output; (i) printing an object that resembles the image.
Claim 17
Independent Claim
98 words
A method of automatic printing comprising the steps of: (a) scanning an image; (b) resampling and resizing the image; (c) logarithmically correcting each point of the image; (d) performing Outlier noise reduction on the logarithmic correction of the image; (e) smoothing the Outlier noise reduction image and producing a smoothed image; (f) performing edge detection on the smooth image to produce an edge detection image; (g) performing thresholding on the edge detection image to produce a threshold output; (h) performing a bilevel image conversion to produce a bilevel image output; (i) printing an object that resembles the image.
Claim 18
Independent Claim
68 words
A method of automatic printing comprising the steps of: (a) scanning an image to create a database of image points; (b) logarithmically correcting each point of the image; (c) performing edge detection on the image database to produce an edge detection image database; (d) performing a raster-to-vector conversion of the edge detection image database to generate a vector database; and (e) printing an object that resembles the image.
Claim 19
Independent Claim
68 words
A method of automatic printing comprising the steps of: (a) scanning an image to create a database of image points; (b) logarithmically correcting each point of the image; (c) performing edge detection on the image database to produce an edge detection image database; (d) performing a raster-to-vector conversion of the edge detection image database to generate a vector database; and (e) printing an object that resembles the image.
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) | 1997-07-11 | 1998-01-10 | 1998-07-12 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2001-07-11 | 2002-01-10 | 2002-07-12 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2005-07-11 | 2006-01-10 | 2006-07-12 | $7700.00 | Window Closed / Lapsed |