US5493539A
Expired / Lapsed
US
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Two-stage detection and discrimination system for side scan sonar equipment
Assignee: Northrop Grumman Systems Corp
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Filing: 1994-03-11
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Granted: 1996-02-20
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Expires: 2014-03-11
Abstract
Abstract An automatic method for finding mines in side scan sonar images using a two-stage detection/discrimination process is provided. This method improves the discrimination process by specialized processing of regions of interest found in the detection process to increase the probability of correctly identifying highlight and shadow regions associated with mine images. Features specifically selected for their ability to discriminate mines are then extracted from these areas for use in the Bayesian discriminator.
Inventors
- 👤 Paul H. Haley
- 👤 John E. Gilmour
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-06 13:17
CPC Classifications
G; G01; G01S; G01S7/00; G01S7/52; G01S7/539; G01S15/00; G01S15/88; G01S15/89; G01S15/8902
Claims Analysis
Total Claims: 9
Claim 1
Independent Claim
308 words
A system for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising: a. a highlight filter to expand the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. a highlight mask generator which generates a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. a highlight feature extractor which extracts highlight features of said snippet images by comparing said highlight mask and said snippet images; d. a shadow filter to expand the size of the areas in said snippet image exhibiting speckle to coalesce those areas of said snippet image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. a shadow mask generator which generates a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. a shadow feature extractor which extracts shadow features of said snippet images by comparing said shadow mask and said snippet images; g. a joint highlight/shadow feature calculator which calculates joint highlight/shadow features from said highlight features and said shadow features; and h. a Bayesian discriminator which analyzes said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
Claim 2
Independent Claim
308 words
A system for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising: a. a highlight filter to expand the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. a highlight mask generator which generates a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. a highlight feature extractor which extracts highlight features of said snippet images by comparing said highlight mask and said snippet images; d. a shadow filter to expand the size of the areas in said snippet image exhibiting speckle to coalesce those areas of said snippet image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. a shadow mask generator which generates a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. a shadow feature extractor which extracts shadow features of said snippet images by comparing said shadow mask and said snippet images; g. a joint highlight/shadow feature calculator which calculates joint highlight/shadow features from said highlight features and said shadow features; and h. a Bayesian discriminator which analyzes said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
Claim 3
Independent Claim
286 words
A system for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising: a. means for expanding the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. means for generating a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. means for extracting highlight features of said snippet images by comparing said highlight mask and said snippet images; d. means for expanding the size of the areas in said snippet image exhibiting speckle to coalesce those areas of said snippet image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. means for generating a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. means for extracting shadow features of said snippet images by comparing said shadow mask and said snippet images; g. means for calculating joint highlight/shadow features from said highlight features and said shadow features; and h. means for analyzing said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
Claim 4
Independent Claim
286 words
A system for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising: a. means for expanding the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. means for generating a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. means for extracting highlight features of said snippet images by comparing said highlight mask and said snippet images; d. means for expanding the size of the areas in said snippet image exhibiting speckle to coalesce those areas of said snippet image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. means for generating a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. means for extracting shadow features of said snippet images by comparing said shadow mask and said snippet images; g. means for calculating joint highlight/shadow features from said highlight features and said shadow features; and h. means for analyzing said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
Claim 5
Dependent Claim
14 words
The system of claim 2 wherein said means for analyzing is a Bayesian discriminator.
Claim 6
Dependent Claim
30 words
The system of claim 2 wherein said means for expanding the size of each said highlight area of each said shipper image by a predefined amount is a highlight filter.
Claim 7
Dependent Claim
35 words
The system of claim 2 wherein said means for expanding the size of the areas in said snippet image exhibiting speckle to coalesce those areas of said snippet image exhibiting speckle is a shadow filter.
Claim 8
Independent Claim
283 words
A method for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising the steps of: a. filtering said snippet images to expand the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. generating a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. extracting highlight features of said snippet images by comparing said highlight mask and said snippet images; d. filtering said snippet images to expand the size of the areas in said shipper image exhibiting speckle to coalesce those areas of said shipper image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. generating a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. extracting shadow features of said snippet images by comparing said shadow mask and said snippet images; g. calculating joint highlight/shadow features from said highlight features and said shadow features; and h. analyzing said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
Claim 9
Independent Claim
283 words
A method for discriminating candidate mine targets detected by a side scan sonar system, said candidate mine targets consisting of snippet images formed from a matrix of pixels, each snippet image having highlight areas and shadow areas having known greyness levels, comprising the steps of: a. filtering said snippet images to expand the size of each said highlight area of each said snippet image by a predefined amount to generate highlight filtered snippet images, whereby adjacent highlight areas in each said snippet image are coalesced to form a single highlight area; b. generating a highlight mask from said highlight filtered snippet images by computing a highlight threshold greyness level and analyzing said highlight filtered snippet images using said highlight threshold greyness level; c. extracting highlight features of said snippet images by comparing said highlight mask and said snippet images; d. filtering said snippet images to expand the size of the areas in said shipper image exhibiting speckle to coalesce those areas of said shipper image exhibiting speckle to generate shadow filtered snippet images, whereby said shadow areas in said snippet image are represented by those areas of said snippet image exhibiting a lack of speckle; e. generating a shadow mask from said shadow filtered snippet images by selecting those shadow areas in said shadow filtered snippet image which meet area and greyness requirements; f. extracting shadow features of said snippet images by comparing said shadow mask and said snippet images; g. calculating joint highlight/shadow features from said highlight features and said shadow features; and h. analyzing said highlight features, said shadow features and said joint highlight/shadow features to determine whether said features correspond to predefined results which indicate the presence of a mine.
References Cited (Backward Citations)
US4115761A
Cited
US4363104A
Cited
US4790027A
Cited
US4803736A
Cited
US4747149A
Cited
US4907156A
Cited
US5065444A
Cited
US4958375A
Cited
US4965725A
Cited
US4965725B1
Cited
US5060278A
Cited
US5003618A
Cited
US5018215A
Cited
US5181254A
Cited
US5214744A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1999-02-19 | 1999-08-21 | 2000-02-20 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-02-19 | 2003-08-21 | 2004-02-20 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-02-19 | 2007-08-21 | 2008-02-20 | $7700.00 | Window Closed / Lapsed |