CN105809675A - Two-dimensional image analyzing method and system - Google Patents
Two-dimensional image analyzing method and system Download PDFInfo
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- CN105809675A CN105809675A CN201610121009.7A CN201610121009A CN105809675A CN 105809675 A CN105809675 A CN 105809675A CN 201610121009 A CN201610121009 A CN 201610121009A CN 105809675 A CN105809675 A CN 105809675A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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Abstract
The invention discloses a two-dimensional image analyzing method and a system, comprising the following steps: configuring a second image with links to the position of a first image; setting coordinate based conversion information in a first zone of the first image and the first zone of the second image; providing a calculator for determining the coordinate based conversion information; obtaining more accurate evaluation values for the first zone and the second zone that are to be compared.
Description
Technical field
The present invention relates to image processing apparatus, be specifically related to a kind of two dimensional image analysis method and system.
Background technology
In relevant art, assessed value derives two width images, the position skew that the image relating to calculating uses another kind of image to be reference picture, by the environment from surrounding of pixel value interpolation, the relevant position mutually unrealistically compared for each region generates the position skew of the mode of pixel value.Japanese Patent No. 4760973 is revealed, in order in hand-held seizure, image processing method, for catch image and extract destination object two image process in extract object and do not have object to position, then extract the background image of object based on the differential information (evaluation between pixel.But, the Japanese Patent No. 4760973 disclosed, movement images picture element interpolation in this case and its picture element interpolation is not performed the image of positioning datum for each region each other obtain accuracy evaluation and be worth and be degraded due to the change of picture element interpolation dot frequency characteristic.
Summary of the invention
For the deficiencies in the prior art, the present invention provides a kind of two dimensional image analysis method and system.
To achieve these goals, the technical solution adopted for the present invention to solve the technical problems is: a kind of two dimensional image analysis method, from two width images, it is in focal position by change and catches the image generating blurred background, including: it is configured to second image of the position relative position of first image of coordinates computed transitional information；Computer region arranges and is configured to arrange first area in piece image and arranges in Two Areas and first region the information based on Coordinate Conversion；The part that second reflection is associated obtains configuration and compares the assessed value of acquisition, and determines whether that first image in this first area is the basis of foreground area or background area, estimated value；First regional part evaluation value of Two Areas and image generate first image and the fuzzy image that configuration combines, by first fuzzy image, according to assessed value, and generate the image of blurred background, wherein the foreground area of first image that image production section is configured so that and background area use the part of fuzzy image.
The two dimensional image analysis method that the present invention further provides, wherein computer coordinates computed transitional information is based on the motion vector between the first image and second image.
The two dimensional image analysis method that the present invention further provides, wherein Coordinate Conversion information is the object images deformation that projective transformation coefficient represents.
The two dimensional image analysis method that the present invention further provides, wherein assessed value fetching portion obtains evaluation value does not have interpolating pixel to list the firstth district and Two Areas in
The two dimensional image analysis method that the present invention further provides, the assessed value of wherein acquisition part carries out standardization and evaluates value because of the size in the firstth district and Two Areas.
The two dimensional image analysis method that the present invention further provides, the assessed value of wherein acquisition part changes to the weight of each pixel listing Two Areas in obtain assessed value.
The two dimensional image analysis method that the present invention further provides, wherein obtains part, the integer value of the assessed value that estimated value compares firstth district at edge and Two Areas obtains mutually.
The two dimensional image analysis method that the present invention further provides, the signal value in first region that the assessed value of wherein acquisition part compares and Two Areas are to obtain the difference between assessed value.
The two dimensional image analysis method that the present invention further provides, the region that wherein area setting unit is arranged, there is each vertex point and obtain first region that use is relevant, the Coordinate Conversion data on each summit is as Two Areas.
The two dimensional image analysis method that the present invention further provides, the area that wherein area setting unit is arranged, it is included in first region including use, the pixel coordinate converting data as Two Areas obtains a pixel.
The two dimensional image analysis method that the present invention further provides, wherein estimated value is used for obtaining range information.
The two dimensional image analysis method that the present invention further provides, wherein assessed value is used for determining mobile subject area.
A kind of two dimensional image analysis system, described system specifically includes following: imaging apparatus is configured to perform the first image of the object images acquisition of opto-electronic conversion and second image and image processing apparatus.
The two dimensional image analysis system that the present invention further provides, the optical system of its image pickup and image pick-up device, be configured to obtain object images and pass through image-pickup optical system.
A kind of two dimensional image analysis system, it is characterized in that, image procossing produces the image of blurred background from two width image capturings by changing the step of composition, the method in focal position: second image of the position relative position of first image of coordinates computed transitional information；Piece image arranges first area and the information based on Coordinate Conversion is set in Two Areas and first region；Second reflection is associated and compares and obtain estimated value；First region of Two Areas determines whether the basis of first region foreground area in piece image or background area, estimated value；In conjunction with piece image and fuzzy image, by first fuzzy image, based on evaluating value and producing the image of blurred background, first image therein is used for background image for foreground area and fuzzy image.
The two dimensional image analysis system that the present invention further provides, the computer-readable recording medium storage of its non-transitory causes image processing apparatus, from two width image capturings by changing bifocal position, the step that perform generates the image processing program of the image of blurred background: second image of the position relative position of first image of coordinates computed transitional information；Piece image arranges first area and the information based on Coordinate Conversion is set in Two Areas and first region；Second reflection is associated and compares and obtain estimated value；First region of Two Areas determines whether the basis of first region foreground area in piece image or background area, estimated value；In conjunction with piece image and fuzzy image, by first fuzzy image, based on evaluating value and producing the image of blurred background, first image therein is used for background area for foreground area and fuzzy image.
Beneficial effects of the present invention: the image processing apparatus of the present invention includes one and is configured to calculate by the position of first image and second image, first region and this second area acquisition value of evaluation value assessment more accurately to compare are put in computer the obtaining portion distribution of the Coordinate Conversion information that setting unit is configured to arrange first area in piece image and is associated with the regional location arranging Two Areas and associate based on second image of Coordinate Conversion information in first region.
Detailed description of the invention
A kind of two dimensional image analysis method, it is characterised in that from two width images, is in focal position by change and catches the image generating blurred background, including: it is configured to second image of the position relative position of first image of coordinates computed transitional information；Computer region arranges and is configured to arrange first area in piece image and arranges in Two Areas and first region the information based on Coordinate Conversion；The part that second reflection is associated obtains configuration and compares the assessed value of acquisition, and determines whether that first image in this first area is the basis of foreground area or background area, estimated value；First regional part evaluation value of Two Areas and image generate first image and the fuzzy image that configuration combines, by first fuzzy image, according to assessed value, and generate the image of blurred background, wherein the foreground area of first image that image production section is configured so that and background area use the part of fuzzy image.
Described method, wherein computer coordinates computed transitional information is based on the motion vector between the first image and second image.
Described two dimensional image analysis method, wherein Coordinate Conversion information is the object images deformation that projective transformation coefficient represents.
Described two dimensional image analysis method, wherein assessed value fetching portion obtains evaluation value does not have interpolating pixel to list the firstth district and Two Areas in
Described two dimensional image analysis method, the assessed value of wherein acquisition part carries out standardization and evaluates value because of the size in the firstth district and Two Areas.
Described two dimensional image analysis method, the assessed value of wherein acquisition part changes to the weight of each pixel listing Two Areas in obtain assessed value.
Described two dimensional image analysis method, wherein obtains part, the integer value of the assessed value that estimated value compares firstth district at edge and Two Areas obtains mutually.
Described two dimensional image analysis method, the signal value in first region that the assessed value of wherein acquisition part compares and Two Areas are to obtain the difference between assessed value.
Described two dimensional image analysis method, the region that wherein area setting unit is arranged, there is each vertex point and obtain first region that use is relevant, the Coordinate Conversion data on each summit is as Two Areas.
Described two dimensional image analysis method, the area that wherein area setting unit is arranged, it is included in first region including use, the pixel coordinate converting data as Two Areas obtains a pixel.
Described two dimensional image analysis method, wherein, estimated value is used for obtaining range information.The method of claim 1, wherein assessed value is used for determining mobile subject area.
A kind of two dimensional image analysis system, it is characterised in that described system specifically includes following: imaging apparatus is configured to perform the first image of the object images acquisition of opto-electronic conversion and second image and image processing apparatus.
Described two dimensional image analysis system, the optical system of its image pickup and image pick-up device, be configured to obtain object images and pass through image-pickup optical system.
Described two dimensional image analysis system, its image procossing produces the image of blurred background from two width image capturings by changing the step of composition, the method in focal position: second image of the position relative position of first image of coordinates computed transitional information；Piece image arranges first area and the information based on Coordinate Conversion is set in Two Areas and first region；Second reflection is associated and compares and obtain estimated value；First region of Two Areas determines whether the basis of first region foreground area in piece image or background area, estimated value；In conjunction with piece image and fuzzy image, by first fuzzy image, based on evaluating value and producing the image of blurred background, first image therein is used for background image for foreground area and fuzzy image.
Described two dimensional image analysis system, the computer-readable recording medium storage of its non-transitory causes image processing apparatus, from two width image capturings by changing bifocal position, the step that perform generates the image processing program of the image of blurred background: second image of the position relative position of first image of coordinates computed transitional information；Piece image arranges first area and the information based on Coordinate Conversion is set in Two Areas and first region；Second reflection is associated and compares and obtain estimated value；First region of Two Areas determines whether the basis of first region foreground area in piece image or background area, estimated value；In conjunction with piece image and fuzzy image, by first fuzzy image, based on evaluating value and producing the image of blurred background, first image therein is used for background area for foreground area and fuzzy image.
Claims (10)
1. a two dimensional image analysis method, it is characterised in that from two width images, is in focal position by change and catches the image generating blurred background, including: it is configured to second image of the position relative position of first image of coordinates computed transitional information；Computer region arranges and is configured to arrange first area in piece image and arranges in Two Areas and first region the information based on Coordinate Conversion；The part that second reflection is associated obtains configuration and compares the assessed value of acquisition, and determines whether that first image in this first area is the basis of foreground area or background area, estimated value；First regional part evaluation value of Two Areas and image generate first image and the fuzzy image that configuration combines, by first fuzzy image, according to assessed value, and generate the image of blurred background, wherein the foreground area of first image that image production section is configured so that and background area use the part of fuzzy image.
2. the method for claim 1, wherein computer coordinates computed transitional information is based on the motion vector between the first image and second image.
3. the method for claim 1, wherein Coordinate Conversion information is the object images deformation that projective transformation coefficient represents.
4. the method for claim 1, wherein assessed value fetching portion obtains evaluation value does not have interpolating pixel to list the firstth district and Two Areas in.
5. the method for claim 1, the assessed value of wherein acquisition part carries out standardization and evaluates value because of the size in the firstth district and Two Areas.
6. the method for claim 1, the assessed value of wherein acquisition part changes to the weight of each pixel listing Two Areas in obtain assessed value.
7. the method for claim 1, wherein obtains part, the integer value of the assessed value that estimated value compares firstth district at edge and Two Areas obtains mutually.
8. the method for claim 1, the signal value in first region that the assessed value of wherein acquisition part compares and Two Areas are to obtain the difference between assessed value.
9. the method for claim 1, the region that wherein area setting unit is arranged, there is each vertex point and obtain first region that use is relevant, the Coordinate Conversion data on each summit is as Two Areas.
10. the method for claim 1, the area that wherein area setting unit is arranged, it is included in first region including use, the pixel coordinate converting data as Two Areas obtains a pixel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610121009.7A CN105809675A (en) | 2016-03-03 | 2016-03-03 | Two-dimensional image analyzing method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610121009.7A CN105809675A (en) | 2016-03-03 | 2016-03-03 | Two-dimensional image analyzing method and system |
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| CN105809675A true CN105809675A (en) | 2016-07-27 |
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| CN201610121009.7A Withdrawn CN105809675A (en) | 2016-03-03 | 2016-03-03 | Two-dimensional image analyzing method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106802357A (en) * | 2016-12-15 | 2017-06-06 | 南京邮电大学 | A kind of Digital Signal Processing and analysis method of the micro- detection two dimensional image of Kelvin |
-
2016
- 2016-03-03 CN CN201610121009.7A patent/CN105809675A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106802357A (en) * | 2016-12-15 | 2017-06-06 | 南京邮电大学 | A kind of Digital Signal Processing and analysis method of the micro- detection two dimensional image of Kelvin |
| CN106802357B (en) * | 2016-12-15 | 2019-06-25 | 南京邮电大学 | A kind of Digital Signal Processing and analysis method of the micro- detection two dimensional image of Kelvin |
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