CN209562673U - A kind of local auto-adaptive imaging system - Google Patents
A kind of local auto-adaptive imaging system Download PDFInfo
- Publication number
- CN209562673U CN209562673U CN201920558682.6U CN201920558682U CN209562673U CN 209562673 U CN209562673 U CN 209562673U CN 201920558682 U CN201920558682 U CN 201920558682U CN 209562673 U CN209562673 U CN 209562673U
- Authority
- CN
- China
- Prior art keywords
- optical filter
- imaging
- digital controllable
- controllable optical
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Studio Devices (AREA)
Abstract
The embodiment of the present application discloses a kind of local auto-adaptive imaging system, the optical control element on the digital controllable optical filter of camera subsystem is controlled by control system, so that the light of specific band is selectively allowed to pass through digital controllable optical filter, also the intensity of the light of the optical control element by digital controllable optical filter is controlled simultaneously, realize that imaging sensor receives the light beam of varying strength, so that the Image Warping of target object is improved, control system is sent to after finally acquiring using imaging sensor realization topography to be analyzed, the global contrast of image can only be improved by solving existing scheme all, it cannot be guaranteed that the technical issues of raising of the local contrast of image.
Description
Technical field
This application involves technical field of imaging more particularly to a kind of local auto-adaptive imaging systems.
Background technique
The imaging sensor of existing optical vision system is the light based on CCD or cmos semiconductor sensor technology mostly
Power conversion device, the dynamic range of this kind of semiconductor transducers is all than relatively limited.According to the dynamic range of semiconductor transducer
Definition it is found that the relatively straightforward method of ratio for improving semiconductor transducer dynamic range is to improve full trap charge or reduce noise.
But it due to the limitation of existing CCD and cmos semiconductor sensor technology, improves full trap charge and generally means that increase is partly led
The photosensitive unit of body sensor, and reduce noise and usually require semiconductor technology with high costs and extremely complex circuit, very
To the additional active refrigeration measure of needs.In addition to this, the high dynamic range of semiconductor transducer also needs corresponding high-order modulus
The support of conversion circuit.
In order to improve the dynamic range of vision system, some semiconductor transducers use multiple exposure and reading or one
It is secondary to expose the mode repeatedly read.The essence of both technologies is all by multi collect signal and by various methods by these
The image of a panel height dynamic range (HDR) is exported after signal progress fusion treatment.Even if being pointed out that using HDR technology
Imaging sensor, its dynamic range still cannot be met the requirements under many application scenarios.
For entire vision system, usually said dynamic range refers to the dynamic range of broad sense, i.e., in scene most
The tone ratio of bright and most dark surface in the picture, i.e. DRsystem=20Log [Smax/Smin], wherein SmaxAnd SminRespectively
The tone value of most bright and most dark surface in the picture in scene.The contrast (C) of image and the dynamic range of broad sense have directly
Connection, specially C=2 [Smax-Smin]/[Smax+Smin].It can be seen that the small system of dynamic range is difficult to obtain contrast
High image.To many vision applications, picture contrast, especially Image Warping are a very important indexs,
Because Image Warping has direct shadow to the core processing step of the intelligent visions system such as feature extraction and image segmentation
It rings.
In the case where given image sensor, picture contrast (for example automatic can be exposed by aperture and time for exposure
Light) etc. the adjustment of imaging parameters and obtain a degree of raising.In the case where scene is excessively dark and needs the time for exposure short, also
Picture contrast can be improved in such a way that additional light source illuminates (such as flash lamp).The adjustment of aperture and time for exposure are to image
Influence be of overall importance.It should be pointed out that usually additional lighting source can only also improve the global illumination of entire scene
Situation.So these schemes can only all improve the global contrast of image, it cannot be guaranteed that the raising of the local contrast of image.
Therefore it provides a kind of local auto-adaptive imaging system is that those skilled in the art are badly in need of.
Summary of the invention
The embodiment of the present application provides a kind of local auto-adaptive imaging system, and image can only all be improved by solving existing scheme
Global contrast, it cannot be guaranteed that the technical issues of the raising of the local contrast of image.
This application provides a kind of local auto-adaptive imaging systems, comprising:
Illumination subsystems, camera subsystem and control system；
The illumination subsystems include the light source and projection lens being arranged successively；
The camera subsystem includes the imaging sensor being arranged successively, digital controllable optical filter and imaging lens
Head；
The control system connects with the digital controllable optical filter, described image sensor and the light source respectively
It connects, the optical control element that the control system is used to control on the digital controllable optical filter makes it possible to by the number
The intensity of the light of word controllable optical filter is adjusted, obtains the image and the control light of described image sensor acquisition
Source.
Optionally, the imaging lens are specially image space telecentric imaging camera lens.
Optionally, the imaging lens specifically include:
Diaphragm and lens group；
The light beam of the target object reflection passes sequentially through the diaphragm and the lens group enters the digital controllable light
Learn filter.
Optionally, the light source is specially at least one narrow spectral combination light source.
Optionally, the digital controllable optical filter is specially LCTF or AOTF.
As can be seen from the above technical solutions, the embodiment of the present application has the advantage that
The application controls the optical control element on the digital controllable optical filter of camera subsystem by control system, so that
Selectively allow the light of specific band by digital controllable optical filter, while also to passing through digital controllable optical filter
The intensity of the light of optical control element is controlled, and realizes that imaging sensor receives the light beam of varying strength, so that target object
Image Warping is improved, and is sent to control system progress after finally realizing topography's acquisition using imaging sensor
Analysis, the global contrast of image can only be improved by solving existing scheme all, it cannot be guaranteed that the raising of the local contrast of image
The technical issues of.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application without any creative labor, may be used also for those of ordinary skill in the art
To obtain other attached drawings according to these attached drawings.
Fig. 1 is an a kind of structural schematic diagram of local auto-adaptive imaging system provided by the present application；
Fig. 2 is an a kind of light path schematic diagram of local auto-adaptive imaging system provided by the present application.
Specific embodiment
The embodiment of the present application provides a kind of local auto-adaptive imaging system, and image can only all be improved by solving existing scheme
Global contrast, it cannot be guaranteed that the technical issues of the raising of the local contrast of image.
To enable application purpose, the feature, advantage of the application more obvious and understandable, below in conjunction with the application
Attached drawing in embodiment, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that disclosed below
Embodiment be only some embodiments of the present application, and not all embodiment.Based on the embodiment in the application, this field
Those of ordinary skill's all other embodiment obtained without making creative work belongs to the application protection
Range.
Fig. 1 and Fig. 2 are please referred to, this application provides a kind of one embodiment of local auto-adaptive imaging system, comprising:
Illumination subsystems 1, camera subsystem 2 and control system 3；
The illumination subsystems 1 include the light source 11 and projection lens 12 being arranged successively；
The camera subsystem 2 include be arranged successively imaging sensor 21, digital controllable optical filter 22 and at
As camera lens 23；
The control system 3 respectively with the digital controllable optical filter 22, described image sensor 21 and the light
Source 11 connects, and the optical control element that the control system 3 is used to control on the digital controllable optical filter 22 makes it possible to pair
The image of the acquisition of described image sensor 21 is adjusted, obtained by the intensity of the light of the digital controllable optical filter 22
And the control light source 11.
Optionally, the imaging lens 23 are specially image space telecentric imaging camera lens.
Optionally, the imaging lens 23 specifically include:
Diaphragm 01 and lens group 02；
The light beam of the target object reflection passes sequentially through the diaphragm 01 and the lens group 02 can into the number
Control optical filter 22.
Optionally, the light source 11 is specially at least one narrow spectral combination light source.
Optionally, the digital controllable optical filter 22 is specially LCTF or AOTF.
It should be noted that Fig. 1 and Fig. 2 show a kind of structure chart of local auto-adaptive imaging system provided by the present application
And index path, as shown in Figure 1, the intensity of illuminating bundle I1 and I2 is identical so that the corresponding region T1 on target object and
T2 is by the identical incident beam of intensity, but since the intensity of the light beam R1 and R2 that reflect from target object surface are by object
The optical characteristics in body surface face is influenced and is not necessarily the same, therefore the application utilizes digital controllable optical filter 22, selectively allows
The light of specific band passes through, while also controlling the intensity of the light passed through, improves the local contrast of target object.
Since the field angle of most of digital controllable optical filter is all smaller (for example, the field angle of LCTF usually exists
Within +/- 60, and the field angle of AOTF is then smaller, usually within +/- 20), the camera of this kind of vision system need using
Image space telecentricity or imaging lens close to image space telecentricity.
It should be pointed out that the common bilateral telecentric lens of NI Vision Builder for Automated Inspection are a kind of special cases of image space telecentric lens,
Therefore this requirement not will increase additional limitation in practical applications.
As shown in Fig. 2, using image space telecentric imaging camera lens, as long as digital controllable optical filter 22 is placed in
Before imaging sensor 21, so that system design and assembly are very simple.
The application controls the optical control element on the digital controllable optical filter of camera subsystem by control system, so that
Selectively allow the light of specific band by digital controllable optical filter, while also to passing through digital controllable optical filter
The intensity of the light of optical control element is controlled, and realizes that imaging sensor receives the light beam of varying strength, so that target object
Image Warping is improved, and is sent to control system progress after finally realizing topography's acquisition using imaging sensor
Analysis, the global contrast of image can only be improved by solving existing scheme all, it cannot be guaranteed that the raising of the local contrast of image
The technical issues of.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above, above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although referring to before
Embodiment is stated the application is described in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (5)
1. a kind of local auto-adaptive imaging system characterized by comprising
Illumination subsystems, camera subsystem and control system；
The illumination subsystems include the light source and projection lens being arranged successively；
The camera subsystem includes the imaging sensor being arranged successively, digital controllable optical filter and imaging lens；
The control system is connect with the digital controllable optical filter, described image sensor and the light source respectively, institute
Optical control element of the control system for controlling on the digital controllable optical filter is stated to make it possible to can by the number
The intensity for controlling the light of optical filter is adjusted, obtains the image of described image sensor acquisition and control the light source.
2. local auto-adaptive imaging system according to claim 1, which is characterized in that the imaging lens are specially image space
Telecentric imaging camera lens.
3. local auto-adaptive imaging system according to claim 2, which is characterized in that the imaging lens specifically include:
Diaphragm and lens group；
The light beam of target object reflection passes sequentially through the diaphragm and the lens group enters the digital controllable optical filter.
4. local auto-adaptive imaging system according to claim 1, which is characterized in that the light source is specially at least one
Narrow spectral combination light source.
5. local auto-adaptive imaging system according to claim 1, which is characterized in that the digital controllable optical filter
Specially LCTF or AOTF.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920558682.6U CN209562673U (en) | 2019-04-23 | 2019-04-23 | A kind of local auto-adaptive imaging system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920558682.6U CN209562673U (en) | 2019-04-23 | 2019-04-23 | A kind of local auto-adaptive imaging system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN209562673U true CN209562673U (en) | 2019-10-29 |
Family
ID=68313276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201920558682.6U Active CN209562673U (en) | 2019-04-23 | 2019-04-23 | A kind of local auto-adaptive imaging system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN209562673U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110049256A (en) * | 2019-04-23 | 2019-07-23 | 深圳市思锐视科技有限公司 | A kind of local auto-adaptive imaging system and local auto-adaptive image formation control method |
-
2019
- 2019-04-23 CN CN201920558682.6U patent/CN209562673U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110049256A (en) * | 2019-04-23 | 2019-07-23 | 深圳市思锐视科技有限公司 | A kind of local auto-adaptive imaging system and local auto-adaptive image formation control method |
| CN110049256B (en) * | 2019-04-23 | 2024-02-20 | 光沦科技(深圳)有限公司 | Local self-adaptive imaging system and local self-adaptive imaging control method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11132771B2 (en) | Bright spot removal using a neural network | |
| AU2016370348B2 (en) | Image sensor, and output method, phase focusing method, imaging apparatus and terminal | |
| JP6469678B2 (en) | System and method for correcting image artifacts | |
| CN109429001B (en) | Image acquisition method and device, electronic equipment and computer readable storage medium | |
| CN113518210B (en) | Method and device for automatic white balance of image | |
| CN102165783A (en) | Image capture using separate luminance and chrominance sensors | |
| CN105611124A (en) | Image sensor, imaging method, imaging device and electronic device | |
| US9894255B2 (en) | Method and system for depth selective segmentation of object | |
| CN106226976A (en) | A kind of dual camera image pickup method, system and terminal | |
| CN115032196B (en) | Full-scribing high-flux color pathological imaging analysis instrument and method | |
| CN108469685B (en) | Super-resolution associated imaging system and imaging method | |
| CN209488691U (en) | A kind of local auto-adaptive imaging system | |
| JP2019517011A (en) | Imager with improved autofocus performance | |
| CN209562673U (en) | A kind of local auto-adaptive imaging system | |
| US8570433B1 (en) | Coloration artifact reduction | |
| CN116157805A (en) | Camera image or video processing pipeline using neural embedding | |
| CN110049256A (en) | A kind of local auto-adaptive imaging system and local auto-adaptive image formation control method | |
| CN114513613B (en) | Optical device for calculation | |
| WO2023158804A1 (en) | Ai-driven signal enhancement of sequencing images | |
| CN115699073A (en) | Neural network supported camera image or video processing pipeline | |
| CN104954658A (en) | Electric device and data processing method | |
| CN112887593B (en) | Image acquisition method and device | |
| CN110348569B (en) | Real-time optical tomography method and system based on convolutional neural network | |
| CN109842758B (en) | Computing sensor | |
| CN114222108A (en) | Active calibration positioning method and system and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: Room 04, 1401 / F, International Students Pioneer Building, No.29, Gaoxin South Ring Road, high tech Zone community, Yuehai street, Nanshan District, Shenzhen, Guangdong 518000 Patentee after: Guanglun Technology (Shenzhen) Co.,Ltd. Address before: Room 1404, phase 1, International Students Pioneer Building, 29 Gaoxin South Ring Road, Nanshan District, Shenzhen, Guangdong 518000 Patentee before: SHENZHEN SEIRIOS TECHNOLOGY Co.,Ltd. |
|
| CP03 | Change of name, title or address |