CN109798982A - A kind of no baffle thermal imaging system and its thermometric correction algorithm - Google Patents
A kind of no baffle thermal imaging system and its thermometric correction algorithm Download PDFInfo
- Publication number
- CN109798982A CN109798982A CN201910171332.9A CN201910171332A CN109798982A CN 109798982 A CN109798982 A CN 109798982A CN 201910171332 A CN201910171332 A CN 201910171332A CN 109798982 A CN109798982 A CN 109798982A
- Authority
- CN
- China
- Prior art keywords
- infrared
- offset
- thermometric
- correction
- gain
- 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.)
- Pending
Links
Abstract
The invention discloses a kind of no baffle thermal imaging systems, including shell, case nose is equipped with the infrared lens for acquiring target black matrix image, interior of shell is equipped with the infrared thermal imagery component for locating pattern matrix, infrared thermal imagery component includes infrared image processing control system, infrared image processing control system includes thermometric correction computing module, the present invention also provides a kind of thermometric correction algorithms, comprising the following steps: S1: pixel each in pattern matrix is uniformly corrected to and the consistent response of target black matrix；S2: by antidote function, the final output temperature of each pixel is obtained.The invention beneficial effect has: gray scale temperature transition (GTC) being improved to convert (GTUC) to the non-homogeneous correction of each gray scale temperature, utilize the gray scale feature unrelated with baffle with the calibration of temperature transition (GTC) algorithm, it realizes the simplification of algorithm and operation, realizes without baffle function.
Description
Technical field
The present invention relates to thermal imaging system fields, more particularly, to a kind of no baffle thermal imaging system and its thermometric correction algorithm.
Background technique
There are two features for the gray scale thermal map acquired from the thermal infrared imager detector of array type focal plane: one is in array
There are non-homogeneous feature between each point gray scale, need to do each point non-homogeneous correction (NUC), so as to show clearly target
Thermal map；Second is that each gray scale and temperature have direct corresponding relationship in array, need to do each point the conversion of gray scale and temperature
(GTC), so as to accurately measuring target temperature.At present to non-homogeneous correction algorithm (NUC) and ash in thermal infrared imager field
It spends temperature transition algorithm (GTC), as the algorithm of two front and back self-contained process, i.e., each point is done non-homogeneous in focal plane array
It corrects (NUC), then to all the points with a gray scale temperature transition (GTC).The present invention is according to non-homogeneous correction and gray scale temperature
Relevant feature between conversion cancels non-homogeneous correction (NUC), gray scale temperature transition (GTC) is improved to each gray scale
Temperature non-homogeneous correction conversion (GTUC), i.e., by algorithm improvement, by gradation conversion at temperature after, while meeting non-homogeneous rectify
Just.The characteristics of algorithm be using the gray scale feature unrelated with baffle with the calibration of temperature transition (GTC) algorithm, realization algorithm and
The simplification of operation is realized without baffle function.
Summary of the invention
The present invention mainly solves the problem of the complicated operation redundancy of algorithm in the prior art, provides a kind of no baffle heat
As instrument and its thermometric correction algorithm.
Above-mentioned technical problem of the invention is mainly to be addressed by following technical proposals:
A kind of no baffle thermal imaging system, including shell, case nose are equipped with infrared lens, and interior of shell is equipped with black for acquiring target
The infrared thermal imagery component of body image, the infrared thermal imagery component include controlling system for locating the infrared image processing of pattern matrix
System, it is characterised in that: infrared image processing control system includes thermometric correction computing module.
Thermometric corrects computing module: by no baffle thermometric correction algorithm that pixel each in pattern matrix is unified strong
Just extremely and after the consistent response of target black matrix, then by antidote function, the final output temperature of each pixel is obtained.
In the present invention, thermometric correction computing module is by no baffle thermometric correction algorithm by pixel each in pattern matrix
Point is all considered as an independent temperature measurer, and the response rate of each pixel is although different, but to demarcate black matrix as target, unites
One correct to the consistent response of black matrix, to realize gray scale temperature inversion (GTC) and non-homogeneous correction (NUC)；Offset and increasing
Beneficial antidote function is also the multiple function using environment temperature as variable；By the way that gain and offset are corrected to target black matrix
(master) after consistent, the final output temperature of each point is obtained.It realizes the simplification of algorithm and operation, realizes without baffle function.
As a preferred embodiment, the infrared thermal imagery component further includes thermal imagery circuit unit and infrared detector, described
Thermal imagery circuit unit is connected to infrared image processing control system front end, before the infrared detector is connected to thermal imagery circuit unit
It holds and is connected to the infrared lens rear end.
A kind of thermometric correction algorithm, using the no baffle thermal imaging system, which comprises the following steps:
S1: pixel each in pattern matrix is uniformly corrected to and the consistent response of target black matrix；
S2: by antidote function, the final output temperature of each pixel is obtained.
In the present invention, each pixel is considered as an independent temperature measurer, the response of each pixel in array
Rate is although different, but to demarcate black matrix as target, uniformly correct to the consistent response of black matrix, thus realize gray scale temperature turn
Change (GTC) and non-homogeneous correction (NUC)；Offset and gain antidote function are also the multiple letter using environment temperature as variable
Number；By by gain and offset correct to target black matrix (master) it is consistent after, obtain the final output temperature of each point.According to
Relevant feature between non-homogeneous correction and gray scale temperature transition, cancels non-homogeneous correction (NUC), by gray scale temperature transition
(GTC) it is improved to convert (GTUC) to the non-homogeneous correction of each gray scale temperature, i.e., by algorithm improvement, by gradation conversion Cheng Wen
After degree, while meeting non-homogeneous correction.The characteristics of algorithm is calibration and the gear using gray scale and temperature transition (GTC) algorithm
The unrelated feature of piece realizes the simplification of algorithm and operation, realizes without baffle function.
As a preferred embodiment, the correction in the S1 includes offset correction and gain correction.
As a preferred embodiment,
The antidote function are as follows:
The gain of point (i, j) is corrected: Gain(i, j)= fgain(Tabient)
The offset antidote function are as follows:
The offset of point (i, j) is corrected: Offset(i, j)= foffset(Tabient)
Wherein TabientFor environment temperature, ft = A* Tabient n+B* Tabient n-1+…+Y* Tabient+Z；fgain、foffset
It is based on ftFor the function of basic structure；A, B ..., Y, Z be compensation coefficient, it is different according to difference (i, j)；N is normal
Number.
As a preferred embodiment, the final output temperature are as follows:
Point (i, j) final output temperature: Tout(i,j) = Gain(i, j)* (Gray(i,j) - Offset(i, j)),
Wherein: Gray (i, j) is point (i, j) original gradation.
Therefore, the invention has the advantages that
By gray scale temperature transition (GTC) be improved to the non-homogeneous correction of each gray scale temperature convert (GTUC), using gray scale with
The calibration of temperature transition (GTC) algorithm feature unrelated with baffle realizes the simplification of algorithm and operation, realizes without baffle function.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of the present invention；
Fig. 2 is the relational graph of offset correction and environment temperature；
Fig. 3 is the relational graph of gain correction and environment temperature；
Fig. 4 is the distribution map of temperature stable point
In figure: 3 infrared image processing control system of shell 1 infrared lens, 2 infrared thermal imagery component, 31 thermal imagery circuit unit 32
Infrared detector 33.
Specific embodiment
Below with reference to the embodiments and with reference to the accompanying drawing the technical solutions of the present invention will be further described.
Embodiment:
The present embodiment is a kind of no baffle thermal imaging system and its thermometric correction algorithm, it is intended that solving algorithm in the prior art
The problem of complexity, operation redundancy, provide a kind of thermal imaging system based on no baffle thermometric correction algorithm.
Referring to Fig. 1, this includes: without baffle thermal imaging system
Shell 1,1 front end of shell are equipped with infrared lens 2, the infrared thermal imagery for acquiring target black matrix image are equipped with inside shell 1
Component 3, infrared thermal imagery component 3 include for locating the infrared image processing control system 31 of pattern matrix, thermal imagery circuit unit 32
And infrared detector 33, thermal imagery circuit unit 32 are connected to 31 front end of infrared image processing control system, infrared detector 33 connects
It connects in 32 front end of thermal imagery circuit unit and is connected to 2 rear end of infrared lens, infrared image processing control system 31 is rectified including thermometric
Positive computing module, thermometric correction computing module are uniformly corrected to pixel each in array and mesh by thermometric correction algorithm
After marking the consistent response of black matrix, then by antidote function, obtain the final output temperature of each pixel.
The thermometric correction algorithm, comprising the following steps:
S1: pixel each in pattern matrix is uniformly corrected to and the consistent response of target black matrix；
S2: by antidote function, the final output temperature of each pixel is obtained.
According to the relevant feature between non-homogeneous correction and gray scale temperature transition, cancel non-homogeneous correction (NUC), by gray scale
Temperature transition (GTC) is improved to convert (GTUC) to the non-homogeneous correction of each gray scale temperature, i.e., by algorithm improvement, by gray scale
It is converted into after temperature, while meeting non-homogeneous correction.The characteristics of algorithm, utilizes gray scale and temperature transition (GTC) algorithm
The feature unrelated with baffle is demarcated, is realized without baffle function.
Referring to fig. 2 and Fig. 3,
Correction in the S1 includes offset correction and gain correction, the antidote function are as follows:
The gain of point (i, j) is corrected: Gain(i, j)= fgain(Tabient)
The offset antidote function are as follows:
The offset of point (i, j) is corrected: Offset(i, j)= foffset(Tabient)
Wherein TabientFor environment temperature, ft = A* Tabient n+B* Tabient n-1+…+Y* Tabient+Z；fgain、foffset
It is based on ftFor the function of basic structure；A, B ..., Y, Z be compensation coefficient, it is different according to difference (i, j).
Point (i, j) final output temperature: Tout(i,j) = Gain(i, j)* (Gray(i,j) - Offset(i, j)), in which: Gray
(i, j) is point (i, j) original gradation.
Referring to fig. 4,
Temperature test chamber temperature is adjusted respectively from using temperature initial temperature TstartTo Tend, N number of temperature spot is divided equally in centre, by rank
Terraced mode is gradually risen progressively.Data are acquired in each temperature stable point, after each humid test temperature is stablized, at collection point,
It is T that target black matrix Master temperature, which is respectively set,1、T2And T3, wherein T1And T2For the critical value of temperature-measuring range, T3For temperature-measuring range
Median, after target blackbody temperature is stablized, wind does not acquire continuous N frame image, and the average value of each point M frame of calculating obtains three
Width difference current environmental temperature TnThe grayscale image M of lower black matrixtn-T1、M tn-T2、MTn-T3,After having acquired data, to each pixel
Parameter needed for calculating correction correction value formula:
The gain of point (i, j) is corrected: Gain(i, j)= fgain(Tabient)
The offset antidote function are as follows:
The offset of point (i, j) is corrected: Offset(i, j)= foffset(Tabient)
Wherein TabientFor environment temperature, ft = A* Tabient n+B* Tabient n-1+…+Y* Tabient+ Z, fgain、foffset
It is based on ftFor the function of basic structure, A, B ..., Y, Z be compensation coefficient, it is different according to difference (i, j).
Therefore final output temperature are as follows:
Point (i, j) final output temperature: Tout(i,j) = Gain(i, j)* (Gray(i,j) - Offset(i, j)),
Wherein: Gray (i, j) is point (i, j) original gradation.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Although the terms such as offset correction, gain correction, module and component are used more herein, use is not precluded
A possibility that other terms.The use of these items is only for be more convenient to describe and explain essence of the invention；Them
Being construed to any additional limitation is disagreed with spirit of that invention.
Claims (6)
1. a kind of no baffle thermal imaging system, including shell (1), shell (1) front end is equipped with for acquiring the infrared of target black matrix image
Camera lens (2), shell (1) is internal to be equipped with infrared thermal imagery component (3), and the infrared thermal imagery component (3) includes for handling image battle array
The infrared image processing control system (31) of column, it is characterised in that: the infrared image processing control system (31) includes thermometric
Correct computing module；
Thermometric corrects computing module: uniformly being corrected to pixel each in pattern matrix and target by thermometric correction algorithm
After the consistent response of black matrix, then by antidote function, obtain the final output temperature of each pixel.
2. no baffle thermal imaging system according to claim 1, which is characterized in that the infrared thermal imagery component (3) further includes heat
As circuit unit (32) and infrared detector (33), the thermal imagery circuit unit (32) is connected to infrared image processing control system
(31) front end, the infrared detector (33) are connected to thermal imagery circuit unit (32) front end and are connected to the infrared lens (2)
Rear end.
3. a kind of thermometric correction algorithm, using the thermal imaging system in claims 1 or 2, which comprises the following steps:
S1: pixel each in pattern matrix is uniformly corrected to and the consistent response of target black matrix；
S2: by antidote function, the final output temperature of each pixel is obtained.
4. thermometric correction algorithm according to claim 3 it is characterized in that, correction in the S1 include offset correction and
Gain correction.
5. thermometric correction algorithm according to claim 4 is it is characterized in that, the gain antidote function are as follows:
The gain of point (i, j) is corrected: Gain(i, j)= fgain(Tabient),
The offset antidote function are as follows:
The offset of point (i, j) is corrected: Offset(i, j)= foffset(Tabient),
Wherein TabientFor environment temperature, ft = A* Tabient n+B* Tabient n-1+…+Y* Tabient+ Z, fgain、foffset
It is based on ftFor the function of basic structure, A, B ..., Y, Z be compensation coefficient, different according to difference (i, j), n is normal
Number.
6. thermometric correction algorithm according to claim 5 it is characterized in that, which is characterized in that the final output temperature
Are as follows:
Point (i, j) final output temperature: Tout(i,j) = Gain(i, j)* (Gray(i,j) - Offset(i, j))
Wherein: Gray (i, j) is point (i, j) original gradation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910171332.9A CN109798982A (en) | 2019-03-07 | 2019-03-07 | A kind of no baffle thermal imaging system and its thermometric correction algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910171332.9A CN109798982A (en) | 2019-03-07 | 2019-03-07 | A kind of no baffle thermal imaging system and its thermometric correction algorithm |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109798982A true CN109798982A (en) | 2019-05-24 |
Family
ID=66561767
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910171332.9A Pending CN109798982A (en) | 2019-03-07 | 2019-03-07 | A kind of no baffle thermal imaging system and its thermometric correction algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109798982A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110631710A (en) * | 2019-10-18 | 2019-12-31 | 海视英科光电（苏州）有限公司 | Barrier-free infrared temperature measurement method and device |
| CN112665734A (en) * | 2020-12-04 | 2021-04-16 | 杭州新瀚光电科技有限公司 | Temperature measurement method and device based on reference calibration |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110227941A1 (en) * | 2010-03-17 | 2011-09-22 | Top Victory Investments Ltd. | Method for generating lookup table for color correction for display device |
| CN103162843A (en) * | 2013-03-21 | 2013-06-19 | 北京红源光电技术公司 | Zero shutter thermal infrared imager based on voice operated exchange (VOX) detector and use method thereof |
| CN105737990A (en) * | 2016-02-24 | 2016-07-06 | 华中科技大学 | Detector temperature-based infrared image heterogeneity correction method and system |
| CN105987758A (en) * | 2015-02-05 | 2016-10-05 | 南京理工大学 | Non-uniformity correction method of non-barrier infrared thermal imaging system |
| CN108846805A (en) * | 2018-05-02 | 2018-11-20 | 重庆邮电大学 | A kind of thermal-induced imagery two o'clock non-uniform correction method based on scene adaptive |
| CN108871588A (en) * | 2018-08-09 | 2018-11-23 | 昆明物理研究所 | A kind of infrared imaging system various dimensions joint asymmetric correction method |
| CN109060140A (en) * | 2018-07-19 | 2018-12-21 | 中国科学院西安光学精密机械研究所 | Infrared Image Non-uniformity Correction method based on multi-point calibration and fitting |
-
2019
- 2019-03-07 CN CN201910171332.9A patent/CN109798982A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110227941A1 (en) * | 2010-03-17 | 2011-09-22 | Top Victory Investments Ltd. | Method for generating lookup table for color correction for display device |
| CN103162843A (en) * | 2013-03-21 | 2013-06-19 | 北京红源光电技术公司 | Zero shutter thermal infrared imager based on voice operated exchange (VOX) detector and use method thereof |
| CN105987758A (en) * | 2015-02-05 | 2016-10-05 | 南京理工大学 | Non-uniformity correction method of non-barrier infrared thermal imaging system |
| CN105737990A (en) * | 2016-02-24 | 2016-07-06 | 华中科技大学 | Detector temperature-based infrared image heterogeneity correction method and system |
| CN108846805A (en) * | 2018-05-02 | 2018-11-20 | 重庆邮电大学 | A kind of thermal-induced imagery two o'clock non-uniform correction method based on scene adaptive |
| CN109060140A (en) * | 2018-07-19 | 2018-12-21 | 中国科学院西安光学精密机械研究所 | Infrared Image Non-uniformity Correction method based on multi-point calibration and fitting |
| CN108871588A (en) * | 2018-08-09 | 2018-11-23 | 昆明物理研究所 | A kind of infrared imaging system various dimensions joint asymmetric correction method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110631710A (en) * | 2019-10-18 | 2019-12-31 | 海视英科光电（苏州）有限公司 | Barrier-free infrared temperature measurement method and device |
| CN110631710B (en) * | 2019-10-18 | 2020-12-04 | 海视英科光电（苏州）有限公司 | Barrier-free infrared temperature measurement method and device |
| CN112665734A (en) * | 2020-12-04 | 2021-04-16 | 杭州新瀚光电科技有限公司 | Temperature measurement method and device based on reference calibration |
| CN112665734B (en) * | 2020-12-04 | 2023-08-04 | 杭州新瀚光电科技有限公司 | Temperature measurement method and device based on reference calibration |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103528694B (en) | A kind of method of temperature of infrared heat image instrument measuring target object | |
| CN107843982B (en) | Wave front-free detection self-adaptive optical system based on real-time phase difference technology | |
| US9332197B2 (en) | Infrared sensor control architecture | |
| CN107421643B (en) | The bearing calibration of infrared image and device | |
| CN109341864A (en) | A kind of small-sized wide dynamic space infrared quantitative measuring device | |
| CN106197690B (en) | Image calibrating method and system under the conditions of a kind of wide temperature range | |
| CN109060140A (en) | Infrared Image Non-uniformity Correction method based on multi-point calibration and fitting | |
| TW201601536A (en) | Performance parameter measurement method for infrared focal plane array module and defective pixel detection method | |
| CN107255521A (en) | A kind of Infrared Image Non-uniformity Correction method and system | |
| CN108846805A (en) | A kind of thermal-induced imagery two o'clock non-uniform correction method based on scene adaptive | |
| CN109798982A (en) | A kind of no baffle thermal imaging system and its thermometric correction algorithm | |
| CN106679817A (en) | Method for calibrating thermal infrared imager | |
| CN111751003A (en) | Thermal imager temperature correction system and method and thermal imager | |
| CN113358231B (en) | Infrared temperature measurement method, device and equipment | |
| CN106500846A (en) | A kind of asymmetric correction method of infrared imaging system | |
| CN106296627B (en) | A kind of heteropical method correcting infrared imaging system | |
| CN108510561A (en) | A kind of processing method of infrared thermal imagery file and its image | |
| CN112964372B (en) | Novel infrared temperature measuring device and temperature measuring method | |
| CN102564605A (en) | High-definition thermal imaging infrared detector | |
| CN111207833B (en) | Temperature measurement method based on image data normalization technology | |
| CN112710397A (en) | Two-point correction method and system based on temperature substitution | |
| Papini et al. | Joint estimation of unknown radiometric data, gain, and offset from thermal images | |
| CN107436195A (en) | A kind of passive infrared Migratory Bird Monitoring equipment | |
| CN110567585B (en) | Real-time infrared image pot cover effect inhibition method | |
| Zhou et al. | Realized multipoint method for real-time correction of nonuniformity of uncooled IRFPA |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 101, Room 201, Room 301, Room 401, room 501-4, building 52, no.650 Hongfeng Road, Donghu street, Yuhang District, Hangzhou City, Zhejiang Province Applicant after: HANGZHOU XINHAN OPTOELECTRONICS TECHNOLOGY Co.,Ltd. Address before: 311100 502A, No. 22, Xinyan Road, Yuhang Economic and Technological Development Zone, Yuhang District, Hangzhou City, Zhejiang Province Applicant before: HANGZHOU XINHAN OPTOELECTRONICS TECHNOLOGY Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190524 |