CN109350095A - Self-adapting type rabat imager - Google Patents
Self-adapting type rabat imager Download PDFInfo
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- CN109350095A CN109350095A CN201811498337.4A CN201811498337A CN109350095A CN 109350095 A CN109350095 A CN 109350095A CN 201811498337 A CN201811498337 A CN 201811498337A CN 109350095 A CN109350095 A CN 109350095A
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- 238000012545 processing Methods 0.000 claims abstract description 52
- WFKWXMTUELFFGS-UHFFFAOYSA-N tungsten Chemical compound [W] WFKWXMTUELFFGS-UHFFFAOYSA-N 0.000 claims abstract description 12
- 229910052721 tungsten Inorganic materials 0.000 claims abstract description 12
- 239000010937 tungsten Substances 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims abstract description 11
- 229910052790 beryllium Inorganic materials 0.000 claims abstract description 8
- ATBAMAFKBVZNFJ-UHFFFAOYSA-N beryllium atom Chemical compound [Be] ATBAMAFKBVZNFJ-UHFFFAOYSA-N 0.000 claims abstract description 8
- 239000000498 cooling water Substances 0.000 claims abstract description 8
- 239000011521 glass Substances 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 26
- 238000001914 filtration Methods 0.000 claims description 24
- 238000003709 image segmentation Methods 0.000 claims description 5
- 230000001737 promoting effect Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims 1
- 238000010835 comparative analysis Methods 0.000 description 4
- 238000010521 absorption reaction Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000000149 penetrating effect Effects 0.000 description 3
- 230000035515 penetration Effects 0.000 description 3
- 210000001519 tissue Anatomy 0.000 description 3
- 208000019155 Radiation injury Diseases 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 238000004846 x-ray emission Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
- A61B6/4411—Constructional features of apparatus for radiation diagnosis the apparatus being modular
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
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Abstract
The present invention relates to a kind of self-adapting type rabat imagers, it include: X-ray emitter, including tungsten filament, transformer connecting pin, metallic target, beryllium window mouth, glass outer and cooling water injector, the cooling water injector is located at the left side of the metallic target, the tungsten filament is located at the right side of the metallic target, the tungsten filament is located in the glass outer, and connect with the transformer connecting pin, and the lower right of the metallic target is arranged in the beryllium window mouth；Width measurement equipment is connect with bodily form extract equipment, for carrying out cross measure to live human body pattern, to obtain the maximum width of the live human body pattern；Dosage switching equipment is connect with the width measurement equipment and the X-ray emitter respectively, for determining the transmitting dosage for the X-ray emitter being proportional based on the maximum width of the live human body pattern.Through the invention, the otherness processing of rabat shooting is realized.
Description
Technical field
The present invention relates to rabat imager field more particularly to a kind of self-adapting type rabat imagers.
Background technique
The x-ray of rabat shooting is actually the electromagnetic wave that a kind of wavelength is extremely short, energy is very big.The x-ray wave medically applied
It is about between 0.001--0.1nm.The ability of X-ray penetrating material and the energy of ray photons are related, and the wavelength of x-ray is shorter,
The energy of photon is bigger, and penetration power is stronger.X seems that penetration power is also related with material density, absorption of the big substance of density to x line
It is more, through few；The small person of density absorbs, through more.Using this property of differential absorption can the different bone of density and muscle,
The soft tissue areas such as fat separate, and person is exactly the physical basis of X-ray examination and photography.
Why x-ray can make tissue form image on fluorescent screen or on film, on the one hand be penetrating based on x-ray
Property, fluorescent effect and ligh-induced effect；It on the other hand is based on the difference for having density and thickness between tissue.When x-ray penetrates
When human body different tissues structure, absorbed degree is different, so the x-ray amount on arrival fluorescent screen or film, that is, variant.In this way,
Light and shade or the different image of black and white contrast are just formed on fluorescent screen or X-ray film.
The formation of x-ray image is based on following three primary conditions: firstly, x-ray has certain penetration power, can penetrate
The institutional framework of human body；Second, the institutional framework being pierced, there are the difference of this density and thickness, x-ray quilts during penetrating
The amount of absorption is different, so that the remaining x-ray amount got off has difference；Third, this differentiated remaining x-ray, is sightless, warp
Videograph process is crossed, such as by the reality of X-ray film, can obtain has black and white contrast, the X-ray image of level difference.
Summary of the invention
In order to solve the current rabat imager technical problem identical to different in width human body radiation dosage, the present invention is provided
A kind of self-adapting type rabat imager, firstly, after executing comparison of light and shade promotion processing to image, before being promoted to comparison of light and shade
Image carries out light and shade contrast's comparative analysis of selection area afterwards, and also promotes front and back image based on comparison of light and shade and selected
Light and shade contrast's comparative analysis in region executes subsequent comparison of light and shade as a result, determining the need for image after being promoted to comparison of light and shade
Degree processing, the color fineness of image after being handled with guarantee；Secondly, using width measurement equipment, for live human body pattern
Cross measure is carried out, to obtain the maximum width of the live human body pattern, dosage switching equipment is also used, is surveyed respectively with width
Amount equipment is connected with X-ray emitter, for determining the institute being proportional based on the maximum width of the live human body pattern
The transmitting dosage of X-ray emitter is stated, thus the radiation injury caused by human body when reducing rabat shooting as far as possible.
According to an aspect of the present invention, a kind of self-adapting type rabat imager is provided, the rabat imager includes:
X-ray emitter, including tungsten filament, transformer connecting pin, metallic target, beryllium window mouth, glass outer and cooling water note
Enter device.
More specifically, in the self-adapting type rabat imager: the cooling water injector is located at the metallic target
Left side, the tungsten filament are located at the right side of the metallic target.
More specifically, in the self-adapting type rabat imager: the tungsten filament is located in the glass outer, and with
The lower right of the metallic target is arranged in the transformer connecting pin connection, the beryllium window mouth.
More specifically, in the self-adapting type rabat imager, further includes:
Width measurement equipment is connect with bodily form extract equipment, for carrying out cross measure to live human body pattern, to obtain
The maximum width of the scene human body pattern；Dosage switching equipment, respectively with the width measurement equipment and the X-ray emission
Device connection, for determining the hair for the X-ray emitter being proportional based on the maximum width of the live human body pattern
Penetrate dosage；The side of the X-ray emitter is arranged in button capture device, for progress in front of the X-ray emitter
Image capture operation, to obtain corresponding transmitter forward image；Sort method filter apparatus connects with the button capture device
It connects, for receiving the transmitter forward image, sort method filter action is executed to the transmitter forward image, to obtain
Corresponding sort method filtering image；Comparison of light and shade lifting means is connect, for receiving with the sort method filter apparatus
Sort method filtering image is stated, comparison of light and shade promotion processing is executed to the sort method filtering image, it is corresponding bright to obtain
Dark comparison promotes image；First splitting equipment, the comparison of light and shade promotes each object in image for identification, to described each
The size of a object is compared, with determination maximum sized object therein, and the ruler based on the maximum sized object
It is very little to the comparison of light and shade promoted image carry out image segmentation, to obtain the identical image block of each size, wherein it is described most
The size of large-sized target is bigger, and the image block of acquisition is bigger；Second splitting equipment, respectively with first splitting equipment
It is connected with the comparison of light and shade lifting means, ruler identical as first splitting equipment is executed to the sort method filtering image
Very little fragmental image processing, to obtain the identical image block of each size；Signal identifying apparatus is divided with described first respectively
Equipment is connected with second splitting equipment, in described in each image block for exporting first splitting equipment
Comparison of light and shade promotes the mean value of multiple light and shade contrasts of the multiple images piecemeal in image in L shape as the first light and shade mean value,
By multiple figures in each image block of second splitting equipment output in L shape in the sort method filtering image
As piecemeal multiple light and shade contrasts mean value as the second light and shade mean value；Signal handling equipment, respectively with the signal identification
Equipment is connected with the comparison of light and shade lifting means, in 1.2 that the first light and shade mean value is the second light and shade mean value
Times or less when, to the comparison of light and shade promoted image execute comparison of light and shade promotion processing, to obtain signal processing image；The bodily form mentions
Equipment is taken, is connect with the signal handling equipment, it, will be bright in the signal processing image for receiving the signal processing image
Pixel of the angle value within the scope of human body brightness number is as human body pixel point, and by multiple people in the signal processing image
Body image vegetarian refreshments forms live human body pattern.
More specifically, in the self-adapting type rabat imager: in the signal handling equipment, being also used to described
When first light and shade mean value is 1.2 times or more of the second light and shade mean value, stop executing comparison of light and shade promotion image bright
Dark contrast promotion processing, promotes image as signal processing image for the comparison of light and shade and exports.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structural schematic diagram according to the scanning board of the self-adapting type rabat imager shown in embodiment of the present invention.
Specific embodiment
The embodiment of self-adapting type rabat imager of the invention is described in detail below with reference to accompanying drawings.
Traditional X-ray is to will transmit through the ray of human body to be recorded on film, using development, fixing, the technologies such as washing
Process, obtains x-ray image, and CR is to will transmit through the ray of human body to be recorded in the photologging plate containing diabase sill
This diabase sill of is a kind of when again by light stimulus on (namely IP plate), the signal releasably initially recorded
A kind of substance.Using this principle, when passes through laser scanning system after x-ray information of the Image Plate record through human body.That
Kind of diabase sill is collected, and becomes electric signal through photoelectric conversion, by a series of processing of computer, when needing to watch
When can directly read and can also directly be printed by laser camera or laser printer.
In order to overcome above-mentioned deficiency, the present invention has built a kind of self-adapting type rabat imager, can effectively solve the problem that corresponding
The technical issues of.
Fig. 1 is the structural schematic diagram according to the scanning board of the self-adapting type rabat imager shown in embodiment of the present invention.
The self-adapting type rabat imager shown according to an embodiment of the present invention includes:
X-ray emitter, including tungsten filament, transformer connecting pin, metallic target, beryllium window mouth, glass outer and cooling water note
Enter device.
Then, continue that the specific structure of self-adapting type rabat imager of the invention is further detailed.
In the self-adapting type rabat imager: the cooling water injector is located at the left side of the metallic target, described
Tungsten filament is located at the right side of the metallic target.
In the self-adapting type rabat imager: the tungsten filament is located in the glass outer, and with the transformation
The lower right of the metallic target is arranged in the connection of device connecting pin, the beryllium window mouth.
In the self-adapting type rabat imager, further includes:
Width measurement equipment is connect with bodily form extract equipment, for carrying out cross measure to live human body pattern, to obtain
The maximum width of the scene human body pattern；
Dosage switching equipment is connect with the width measurement equipment and the X-ray emitter respectively, for based on described
The maximum width of live human body pattern determines the transmitting dosage for the X-ray emitter being proportional；
The side of the X-ray emitter is arranged in button capture device, for in front of the X-ray emitter into
Row image capture operation, to obtain corresponding transmitter forward image；
Sort method filter apparatus is connect with the button capture device, right for receiving the transmitter forward image
The transmitter forward image executes sort method filter action, to obtain corresponding sort method filtering image；
Comparison of light and shade lifting means is connect with the sort method filter apparatus, for receiving the sort method filtering
Image, executes comparison of light and shade promotion processing to the sort method filtering image, promotes image to obtain corresponding comparison of light and shade；
First splitting equipment, the comparison of light and shade promotes each object in image for identification, to each object
Size be compared, with determination maximum sized object therein, and the size based on the maximum sized object is to institute
It states comparison of light and shade and promotes image progress image segmentation, to obtain the identical image block of each size, wherein the full-size
Target size it is bigger, the image block of acquisition is bigger；
Second splitting equipment is connect, to described respectively with first splitting equipment and the comparison of light and shade lifting means
Sort method filtering image executes the fragmental image processing of size identical as first splitting equipment, to obtain each size phase
Same image block；
Signal identifying apparatus is connect with first splitting equipment and second splitting equipment respectively, and being used for will be described
Multiple images piecemeal in each image block of first splitting equipment output in L shape in comparison of light and shade promotion image
Multiple light and shade contrasts mean value as the first light and shade mean value, will be in each image block of second splitting equipment output
The mean value of multiple light and shade contrasts of multiple images piecemeal in L shape in the sort method filtering image is bright as second
Dark mean value；
Signal handling equipment is connect with the signal identifying apparatus and the comparison of light and shade lifting means respectively, is used for
When the first light and shade mean value is 1.2 times or less of the second light and shade mean value, it is bright that image execution is promoted to the comparison of light and shade
Dark comparison promotion processing, to obtain signal processing image；
Bodily form extract equipment is connect with the signal handling equipment, for receiving the signal processing image, by the letter
Pixel of the brightness value within the scope of human body brightness number be as human body pixel point in number processing image, and by the signal processing
Multiple human body pixel points in image form live human body pattern.
In the self-adapting type rabat imager: in the signal handling equipment, being also used in first light and shade
When mean value is 1.2 times or more of the second light and shade mean value, stop promoting the comparison of light and shade image execution light and shade contrast
The comparison of light and shade is promoted image as signal processing image and exported by promotion processing.
In the self-adapting type rabat imager, further includes:
First acquisition equipment, the second acquisition equipment, third acquisition equipment and Wiener filtering equipment, are arranged at the signal
It manages between equipment and the bodily form extract equipment.
In the self-adapting type rabat imager: the first acquisition equipment is connect with the signal handling equipment, is used
In receiving the signal processing image, following operation is executed for the signal processing image, in the signal processing image
Each target carry out Parameter analysis of electrochemical, to obtain the depth of field of each target in the signal processing image and obtain each
The content complexity of a target.
In the self-adapting type rabat imager: the second acquisition equipment is connect with the first acquisition equipment, is used
The movement below being executed for each target: by the inverse of the depth of field of target with depth of field multiplied by weight to obtain the first product,
By the content complexity of target and complexity multiplied by weight to obtain the second product, by first product and second product
It is added to obtain the weight factor of the target；
Wherein, the third acquisition equipment is connect with the second acquisition equipment, for receiving the signal processing image
In each target each weight factor, using weight factor be more than limitation target as reference target, and export the letter
In number processing image each reference target respectively where each target subgraph.
In the self-adapting type rabat imager: the Wiener filtering equipment respectively with the bodily form extract equipment and institute
Third acquisition equipment connection is stated, for being executed respectively to each target subgraph to each target subgraph is received
Wiener filtering processing, to obtain each filtering subgraph, and integrally replaces the signal processing for each filtering subgraph
Image is sent to the bodily form extract equipment；
Wherein, the third acquisition equipment includes that the sub- equipment of factor reception, the more sub- equipment of factor and image segmentation are set
Standby, the factor receives sub- equipment for receiving each weight factor of each target in the signal processing image.
In the self-adapting type rabat imager: the more sub- equipment of factor receives sub- equipment with the factor respectively
Divide sub- equipment with described image to connect, the more sub- equipment of factor is used to weight factor be more than the target of limitation as ginseng
Examine target；
Wherein, described image divides sub- equipment for dividing each reference target respectively from the signal processing image
The target subgraph at place.
In addition, the factor receive sub- equipment, the more sub- equipment of the factor and described image divide sub- equipment respectively by
The SOC chip of different model is realized.System on Chip, abbreviation SOC namely system on chip.It is said from narrow sense angle, he is
The integrated chip of information system core is that system core component is integrated on one chip；It is said from broadest scope, SOC is one
A mini system, if central processing unit (CPU) is brain, then SOC is exactly to include brain, heart, eyes and hand
System.Domestic and international academia, which generally be inclined to, is defined as SOC by microprocessor, Analog IP core, number IP kernel and memory (or piece
External storage control interface) integrated he is usually customization on a single chip, or the standard towards special-purpose produces
Product.
The basic content that SOC is defined is mainly both ways: one is his composition, the second is his forming process.It is system-level
The composition of chip can be system level chip control logic module, microprocessor/microcontroller CPU core module, digital signal
Processor DSP module, the memory module of insertion and the external interface module communicated, the AFE(analog front end) containing ADC/DAC
Module, power supply provides and power managed module, and SOC wireless for one there are also RF front-end module, user defines logic, and (he can
By FPGA or ASIC realization) and microelectron-mechanical module, it is often more important that a SOC chip is embedded with basic software
(RDOS or COS and other application software) module or the user software that can be loaded into etc..
Using self-adapting type rabat imager of the invention, for rabat imager in the prior art to different in width human body
The identical technical problem of dose of radiation, firstly, promoting front and back to comparison of light and shade after executing comparison of light and shade promotion processing to image
Image carries out light and shade contrast's comparative analysis of selection area, and also promotes front and back image based on comparison of light and shade and carry out selected area
Light and shade contrast's comparative analysis in domain executes subsequent light and shade contrast as a result, determining the need for image after being promoted to comparison of light and shade
Processing, the color fineness of image after being handled with guarantee；Secondly, using width measurement equipment, for live human body pattern into
Row cross measure also uses dosage switching equipment to obtain the maximum width of the live human body pattern, respectively with width measurement
Equipment is connected with X-ray emitter, for determining the X being proportional based on the maximum width of the live human body pattern
The transmitting dosage of ray emitter, thus the radiation injury caused by human body when reducing rabat shooting as far as possible.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (10)
1. a kind of self-adapting type rabat imager, the rabat imager include:
X-ray emitter, including tungsten filament, transformer connecting pin, metallic target, beryllium window mouth, glass outer and cooling water injector.
2. self-adapting type rabat imager as described in claim 1, it is characterised in that:
The cooling water injector is located at the left side of the metallic target, and the tungsten filament is located at the right side of the metallic target.
3. self-adapting type rabat imager as claimed in claim 2, it is characterised in that:
The tungsten filament is located in the glass outer, and connect with the transformer connecting pin, and the beryllium window mouth is arranged in institute
State the lower right of metallic target.
4. self-adapting type rabat imager as claimed in claim 3, which is characterized in that the rabat imager further include:
Width measurement equipment is connect with bodily form extract equipment, for carrying out cross measure to live human body pattern, described in obtaining
The maximum width of live human body pattern；
Dosage switching equipment is connect with the width measurement equipment and the X-ray emitter respectively, for being based on the scene
The maximum width of human body pattern determines the transmitting dosage for the X-ray emitter being proportional；
The side of the X-ray emitter is arranged in button capture device, for carrying out figure to the X-ray emitter front
As capture operation, to obtain corresponding transmitter forward image；
Sort method filter apparatus is connect with the button capture device, for receiving the transmitter forward image, to described
Transmitter forward image executes sort method filter action, to obtain corresponding sort method filtering image；
Comparison of light and shade lifting means is connect with the sort method filter apparatus, for receiving the sort method filtering image,
Comparison of light and shade promotion processing is executed to the sort method filtering image, promotes image to obtain corresponding comparison of light and shade；
First splitting equipment, the comparison of light and shade promotes each object in image for identification, to the ruler of each object
Very little to be compared, with determination maximum sized object therein, and the size based on the maximum sized object is to being stated clearly
Dark comparison promotes image and carries out image segmentation, to obtain the identical image block of each size, wherein the maximum sized mesh
Target size is bigger, and the image block of acquisition is bigger；
Second splitting equipment is connect, to the statistics respectively with first splitting equipment and the comparison of light and shade lifting means
Sequenc-ing cluster image executes the fragmental image processing of size identical as first splitting equipment, identical to obtain each size
Image block；
Signal identifying apparatus is connect with first splitting equipment and second splitting equipment respectively, is used for described first
The more of the multiple images piecemeal in comparison of light and shade promotion image in L shape are in each image block of splitting equipment output
The mean value of a light and shade contrast will be in as the first light and shade mean value in each image block of second splitting equipment output
The mean value of multiple light and shade contrasts of multiple images piecemeal in the sort method filtering image in L shape is equal as the second light and shade
Value；
Signal handling equipment is connect with the signal identifying apparatus and the comparison of light and shade lifting means respectively, for described
When first light and shade mean value is 1.2 times or less of the second light and shade mean value, image is promoted to the comparison of light and shade and executes light and shade pair
It is handled than promotion, to obtain signal processing image；
Bodily form extract equipment is connect with the signal handling equipment, for receiving the signal processing image, at the signal
Pixel of the brightness value within the scope of human body brightness number is managed in image as human body pixel point, and by the signal processing image
In multiple human body pixel points form live human body pattern.
5. self-adapting type rabat imager as claimed in claim 4, it is characterised in that:
In the signal handling equipment, be also used to the first light and shade mean value be 1.2 times of the second light and shade mean value with
When upper, stopped promoting the comparison of light and shade image execution light and shade contrast's promotion processing, the comparison of light and shade is promoted into image
It is exported as signal processing image.
6. self-adapting type rabat imager as claimed in claim 5, which is characterized in that the rabat imager further include:
First acquisition equipment, the second acquisition equipment, third acquisition equipment and Wiener filtering equipment, setting are set in the signal processing
Between the standby and described bodily form extract equipment.
7. self-adapting type rabat imager as claimed in claim 6, it is characterised in that:
The first acquisition equipment is connect with the signal handling equipment, for receiving the signal processing image, for described
Signal processing image executes following operation, carries out Parameter analysis of electrochemical to each target in the signal processing image, every to obtain
The depth of field of one target in the signal processing image and the content complexity for obtaining each target.
8. self-adapting type rabat imager as claimed in claim 7, it is characterised in that:
The second acquisition equipment is connect with the first acquisition equipment, for executing following movement for each target: will
The inverse and depth of field multiplied by weight of the depth of field of target are to obtain the first product, by the content complexity of target and complexity weight phase
Multiplied by the second product is obtained, first product is obtained to the weight factor of the target with second product addition；
Wherein, the third acquisition equipment is connect with the second acquisition equipment, for receiving in the signal processing image
Each weight factor of each target, the target using weight factor more than limitation export at the signal as reference target
Manage each target subgraph in image where each reference target difference.
9. self-adapting type rabat imager as claimed in claim 8, it is characterised in that:
The Wiener filtering equipment is connect with the bodily form extract equipment and third acquisition equipment respectively, for reception institute
Each target subgraph is stated, Wiener filtering processing is executed respectively to each target subgraph, to obtain each filtering subgraph
Picture, and each filtering subgraph is integrally replaced into the signal processing image and is sent to the bodily form extract equipment；
Wherein, the third acquisition equipment includes that factor receives sub- equipment, the more sub- equipment of factor and the sub- equipment of image segmentation, institute
It states factor and receives sub- equipment for receiving each weight factor of each target in the signal processing image.
10. self-adapting type rabat imager as claimed in claim 9, it is characterised in that:
The more sub- equipment of factor receives sub- equipment with the factor respectively and described image is divided sub- equipment and connect, it is described because
The more sub- equipment of number is used to weight factor be more than the target of limitation as reference target；
Wherein, described image divides sub- equipment for dividing each reference target place respectively from the signal processing image
Target subgraph.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811498337.4A CN109350095A (en) | 2018-12-08 | 2018-12-08 | Self-adapting type rabat imager |
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| CN201811498337.4A CN109350095A (en) | 2018-12-08 | 2018-12-08 | Self-adapting type rabat imager |
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| CN201811498337.4A Pending CN109350095A (en) | 2018-12-08 | 2018-12-08 | Self-adapting type rabat imager |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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