CN109506782A - Transient state temperature field test method and its test macro based on high-speed imaging technology - Google Patents
Transient state temperature field test method and its test macro based on high-speed imaging technology Download PDFInfo
- Publication number
- CN109506782A CN109506782A CN201811463395.3A CN201811463395A CN109506782A CN 109506782 A CN109506782 A CN 109506782A CN 201811463395 A CN201811463395 A CN 201811463395A CN 109506782 A CN109506782 A CN 109506782A
- Authority
- CN
- China
- Prior art keywords
- temperature
- transient state
- image
- temperature field
- camera
- 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
- 230000001052 transient effect Effects 0.000 title claims abstract description 68
- 238000005516 engineering process Methods 0.000 title claims abstract description 24
- 238000003384 imaging method Methods 0.000 title claims abstract description 22
- 238000010998 test method Methods 0.000 title claims abstract description 19
- 238000012360 testing method Methods 0.000 title claims abstract description 12
- 230000007935 neutral effect Effects 0.000 claims abstract description 28
- 230000003287 optical effect Effects 0.000 claims abstract description 16
- 230000007704 transition Effects 0.000 claims abstract description 13
- 238000009877 rendering Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 24
- 238000009529 body temperature measurement Methods 0.000 claims description 15
- 238000005259 measurement Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000009466 transformation Effects 0.000 claims description 7
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000003709 image segmentation Methods 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 5
- 230000002123 temporal effect Effects 0.000 claims description 5
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 230000005764 inhibitory process Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000000630 rising effect Effects 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000004927 fusion Effects 0.000 claims description 2
- 230000009467 reduction Effects 0.000 claims description 2
- 230000005855 radiation Effects 0.000 abstract description 7
- 230000000875 corresponding effect Effects 0.000 description 12
- 239000003086 colorant Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000003595 spectral effect Effects 0.000 description 3
- 238000004861 thermometry Methods 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000006231 channel black Substances 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 230000009977 dual effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 210000004218 nerve net Anatomy 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0003—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiant heat transfer of samples, e.g. emittance meter
Abstract
The present invention discloses a kind of transient state temperature field test method and its test macro based on high-speed imaging technology, including colored high speed camera, neutral-density filter, optical lens, computer.Optical lens focuses on the luminance information that transient state temperature field radiation generates on the cmos image sensor of high speed camera；Neutral-density filter for controlling light passing amount, with guarantee camera work unsaturation region simultaneously can extended temperature measure the upper limit；The optical information being imaged on cmos sensor is converted digital picture RGB information by high speed camera；Computer analyzes the transient state temperature field image information that high speed camera acquires, and transient state temperature field and relevant feature parameters can be obtained according to the temperature transition model obtained through camera calibration built-in in software.The distance measuring of transient state temperature field may be implemented in the present invention, has the characteristics that high time resolution and the high thermometric upper limit, while can intuitively obtain the Temperature Distribution rendering figure and associated temperature characteristic parameter at each moment.
Description
Technical field
The invention belongs to Digital Image Processing and field of temperature measurement, and in particular to a kind of wink based on high-speed imaging technology
State temperature field test method and its test macro.
Background technique
The acting duration of transient state temperature field is short, temperature change is violent, temperature peak is high, and transient high temperature field is general
All big along with very strong destruction, test environment complexity, technical difficulty, traditional thermometry, which is difficult to meet, to be wanted
It asks.The test method of transient state temperature field can generally be divided into contact and two kinds contactless: the sound of contact type temperature measuring
Answer underfrequency, can only measurement point region temperature, and sensor is placed in temperature field, is easy to generate shadow to Temperature Distribution
It rings；Non-contact type temperature measurement is divided into spectroscopic temperature measurement method and the big type of foundation of radiation thermometry two according to temperature-measurement principle, and spectrum is surveyed
Although warm therapy can reach higher temporal resolution but this method is easy by the interference of background ambient light to influence thermometric essence
Degree, at the same this method generally also can only measurement point region temperature, can not intuitively obtain the distribution situation in entire temperature field；It is red
Outer thermal imaging system thermometric is the Typical Representative of radiation thermometry, difficult although measurement can be made to entire thermo parameters method situation
Will affect temperature measurement accuracy for the radiance of measured matter precision, standardization；And the frame per second of thermal infrared imager shooting is relatively
It is low, it is unable to satisfy the requirement of resolution ratio between transient temperature field measurement clock synchronization.
Chinese patent 200910043260.6 discloses a kind of ccd image sensor high-temperature field measuring instrument, which passes through
Ccd sensor obtains the value of temperature field image each pixel R, G and then calculates temperature, but this method can be because of different measured object institutes
The change of bring radiation characteristic and is limited to ccd image sensor to influence the precision of temperature measurement, when the device
Between resolution ratio it is low, be unable to satisfy the measurement demand of transient state temperature field.
Chinese patent 201611270441.9 discloses a kind of transient state temperature field measurement method and device, this method using point
The radiant light of measured target is divided into the light beam of multiple preset wavelength ranges by light microscopic, and by the light beam of multiple preset wavelength ranges
Lotus root is bonded to camera system and then analyzes temperature, but this method needs to have specific understanding to the spectral characteristic of measured object, in turn
Reasonable wavelength preset range is formulated, has certain limitation, while beam splitting system to the measurement of the indefinite object of spectral characteristic
It is easy to be influenced by environment light and range attenuation, the use applicability under non-lab environment is relatively poor.
Summary of the invention
The purpose of the present invention is to provide a kind of transient state temperature field test method and its test based on high-speed imaging technology
System, using high-speed imaging technology temperature collection field video image, using temperature transition model obtained by calibrating and image procossing
Technology, the temperature that each pixel is characterized in analytical calculation effective temperature field, and then obtain the transient state temperature field of entirety intuition
Distribution situation and correlated characteristic parameter.The present invention overcomes the limitations for measuring transient state temperature field temporal resolution in the prior art
Property, while improving the precision of thermometric and applicability that system uses.
The technical solution for realizing the aim of the invention is as follows: a kind of transient state temperature field test side based on high-speed imaging technology
Method is 10 to the temporal resolution that temperature measures using colored high-speed camera-5S, temperature-measuring range are 1200-3300 degrees Celsius
Transient state temperature field measures, and obtains the rendering image and associated temperature characteristic parameter of Temperature Distribution, specifically includes the following steps:
Step 1: utilizing high temperature blackbody furnace, the combination of colored high-speed camera, camera lens and neutral-density filter is carried out
Calibration, while carrying out camera and shooting oversaturated inhibition, obtain multistage image RGB gray value corresponding temperature transformation model and its
The setup parameter of corresponding colour high-speed camera, camera lens and neutral-density filter；
Step 2: the temperature range estimated according to the transient state temperature field to be analyzed, the corresponding colored high speed camera of selection,
Camera lens and neutral-density filter setup parameter, the video of the colored high-speed camera shooting transient state temperature field of application later；
Step 3: image preprocessing being carried out to every frame image of transient state temperature field video, while removing abnormal data point
By temperature region and background segment, and extract effective temperature field；
Step 4: being directed to the obtained effective temperature field of image segmentation, R, G, B value of each of which pixel are brought into relatively
The temperature transition model answered obtains the temperature value that each pixel is characterized, and then obtains the temperature of entire effective temperature field；
Step 5: the temperature value characterized according to each pixel, establish Temperature Distribution rendering image, and to temperature field into
Row statistical analysis obtains mean temperature, maximum temperature and its position, relevant temperature curve.
A kind of test macro of the transient state temperature field test method based on high-speed imaging technology, including neutral density filter
Piece, camera lens, colored high-speed camera and computer, wherein common optical axis sets gradually neutral-density filter, camera lens, colored high speed
Video camera, colored high-speed camera are connect with computer again, and transient state temperature field common optical axis is arranged in front of neutral-density filter.
Compared with prior art, the present invention its remarkable advantage is:
(1) short to the response time of transient temperature field measurement, temporal resolution highest can achieve 10-5S can completely remember
Record the whole process that transient state temperature field generates.
(2) the upper limit for height of temperature measurement, measurement range are wide, and by Extended Technology, the upper limit of temperature measurement can achieve 3300
Degrees centigrade, the range of temperature measurement are 1200 degrees Celsius to 3300 degrees Celsius.
(3) easy to use, remote, the low coverage to transient state temperature field may be implemented in strong applicability, the camera lens for different focal length of arranging in pairs or groups
, especially can be for the transient state temperature field with damage effect from measurement, progress long distance is unmanned under the adjusting of field complexity surveys
Examination.
(4) strong to the analysis ability of temperature field data, by host computer temperature field analysis software, available each moment
Complete effective temperature field and Temperature Distribution render image, and analyze and obtain the relevant characteristic parameter in temperature field, and export correlation
Temperature curve.
Detailed description of the invention
Fig. 1 is the structure chart of the transient state temperature field test macro the present invention is based on high-speed imaging technology.
Fig. 2 is the flow chart of the transient state temperature field test method the present invention is based on high-speed imaging technology.
Fig. 3 is the effect picture of the transient state temperature field test method the present invention is based on high-speed imaging technology, and figure (a) is to obtain
Transient state temperature field original image, the effective temperature field Temperature Distribution rendering image that figure (b) is, figure (c) is the associated temperature generated
Curve.
Specific embodiment
Present invention is further described in detail with reference to the accompanying drawing.
In conjunction with Fig. 1, the present invention is based on the systems of the transient state temperature field test method of high-speed imaging technology, take the photograph suitable for 1200
In family name's degree to 3300 degree Celsius temperature ranges, the test of transient state or non-transient temperature field under field or laboratory condition, packet
It includes CMOS colour high speed camera 4, neutral-density filter 2, optical lens 3, be equipped with temperature field image processing analysis software
Computer 5.Wherein common optical axis sets gradually neutral-density filter 2, camera lens 3, colored high-speed camera 4, colored high-speed camera
Machine 4 is connect with computer 5 again, and the setting of 1 common optical axis of transient state temperature field is in 2 front of neutral-density filter.
The CMOS colour high speed camera 4 is used to acquire the video image of transient state temperature field 1, and with the format of digital picture
It is transferred to computer 5.
The neutral-density filter 2 be light rays passing rate can multi-gear adjustment optical filter, for inhibiting colored high speed phase
The supersaturation of machine 4, while expanding the upper limit of temperature measurement.
The optical lens 3 images in the image of transient state temperature field 1 on the cmos sensor of colored high speed camera 4, according to
According to the distance of required temperature measurement distance, the camera lens 3 that can allow different focal length is combined, while in order to expand the temperature measurement upper limit,
In the case where focal length meets photographing request, the preferential optical lens 3 for selecting maximum ring numerical value big.
It include that image RGB gray value is corresponding in the computer system 5 for being equipped with temperature field image processing analysis software
The transformation model of temperature, the adaptive noise reduction recognizer based on RGB relationship, for analyzing the video image of transient state temperature field,
And then obtain transient state temperature field Temperature Distribution rendering image and associated temperature characteristic parameter.
In conjunction with Fig. 2, the present invention is based on the transient state temperature field test methods of high-speed imaging technology, are first depending on measurement transient state temperature
The characteristic of degree field 1 selects the corresponding high speed camera 4, neutral-density filter 2 and 3 parameter of optical lens that obtain through calibration to set
Fixed, temperature collection field video image, the video image for needing to analyze is imported in temperature analysis software later, the built-in figure of software
As pretreatment, algorithm and corresponding temperature transition model, the video image of importing is pre-processed automatically and temperature computation.Such as
Shown in Fig. 3, temperature field and the Temperature Distribution rendering image of every frame image is can be obtained in software, while counting every frame temperature field picture
Mean temperature, maximum temperature and maximum temperature position in effective coverage；It can analyze the highest temperature in entire temperature field video
Degree, maximum average temperature and its locating frame number position；Mean temperature curve and maximum temperature curve can be generated and export temperature
Spend field related data；Setpoint temperature calculating can be carried out in original image.
In conjunction with Fig. 2, a kind of transient state temperature field test method based on high-speed imaging technology, specifically includes the following steps:
Step 1: utilize high temperature blackbody furnace, to the combination of colored high-speed camera 4, camera lens 3 and neutral-density filter 2 into
Rower is fixed, while carrying out camera and shooting oversaturated inhibition, obtain multistage image RGB gray value corresponding temperature transformation model and
The setup parameter of its corresponding high-speed camera 4, camera lens 3 and neutral-density filter 2.By adjusting colored high-speed camera
The time for exposure of machine 4, the aperture size of camera lens 3, the light passing rate of neutral-density filter 2 these three combination parameter setting, make
Colored high-speed camera 4 always works in non-saturated region during shooting transient state temperature field 1, and also improves colored high speed
The working region of video camera 4 and the measurement upper limit of temperature；The channel reserved part image R gray scale is answered to maximum temperature segment mark timing
The rising space of value, that is, when the temperature of blackbody furnace reaches the upper limit, the gray value in the channel black matrix image R should be located at 180 ±
5, the precision for establishing temperature transition model is also ensured while expanding the temperature measurement upper limit.
The foundation of the transformation model of multistage image RGB gray value corresponding temperature is as follows: if in this section of temperature range, calibration maps
As R, G, B gray value and temperature between there are linear relationships, then in the temperature section utilize least square method or nerve net
Network is fitted temperature-RGB curve, establishes the corresponding conversion model of image rgb value and temperature；If in this section of temperature range, calibration maps
As R, G, B gray value and temperature between be not present linear relationship, then pair of image R, G value and temperature is established in the temperature section
Answer transformation model.The foundation of the model, which is intended to make to reduce, measures temperature because of difference radiation characteristic brought by different measured objects
Influence, and the spectral emissivity for accurately knowing testee is not needed when thermometric, improve temp measuring system use it is convenient
Degree.
Specific calibration and temperature transition modeling process are as follows:
Step 1-1: to the scaling method of colored high-speed camera 4, camera lens 3 and more than 2 yuan of neutral-density filter fusions are as follows:
Segmentation calibration, one section of temperature range corresponding one are carried out in 1000 degrees Celsius to 3000 degrees Celsius of section using high temperature blackbody furnace
Kind of colored high-speed camera 4, camera lens 3 and the combined parameter setting of neutral-density filter 2, the purpose of parameter setting are ensuring that
The gray value in the channel R of uncalibrated image collected is in 20 to 240 section in the temperature range；In temperature of each section section
Interior, high temperature blackbody furnace is every to increase black matrix image of 50 degrees Celsius of colored acquisitions of high speed cameras 4, up to the ash in the channel R in image
Angle value reaches 240 ± 3 upper limits that temperature range is demarcated for this group of parameter setting scheme, and the parameter for changing combination setting later makes
The channel R gray value is down to 20 or so, carries out the calibration of next temperature section.Meanwhile portion should be reserved to maximum temperature segment mark timing
The rising space of the channel partial image R gray value, that is, when the temperature of blackbody furnace reaches the upper limit, the ash in the channel black matrix image R
Angle value should be located at 180 ± 5, also ensure the precision for establishing temperature transition model while expanding the temperature measurement upper limit.
Step 1-2: based on the data for demarcating acquisition in step 1-1, the method for temperature transition model foundation are as follows: foundation is based on
Planck blackbody theory of radiation and high speed camera working principle can derive following RGB three primary colours thermometric formula:
In formula: T indicates kelvin degree；R, G, B respectively indicate the gray value of image R, G, B triple channel；K' indicates system
Correction factor；λrIndicate that primary colours are red wavelength, λgIndicate that primary colours are the wavelength of green, λbIndicate that primary colours are the wavelength of blue；
C2Indicate second radiation constant.
According to kelvin degree T known to above-mentioned formula and image rgb valueIt is linear, therefore can use
Least square method or neural network fitting temperature T withTemperature-transformation curve, if based on the above method fitting T
WithSecondary or cubic polynomial residual sum of squares (RSS) be lower than 0.9, then illustrate this section of section obtaining based on this kind of method
Interior temperature transition model accuracy is lower, then is based on following dual base color thermometric formula, is built using least square method or neural network
The temperature transition model of vertical image R, G value and temperature T.
Dual base color thermometric formula indicates are as follows:
In formula: K indicates system correction factor.
Step 2: the temperature range estimated according to the transient state temperature field to be analyzed selects corresponding colored high-speed camera
4,2 setup parameter of camera lens 3 and optical filter, the colored high-speed camera 4 of application later shoot the video of transient state temperature field；
Step 3: image preprocessing being carried out to every frame image of transient state temperature field video, while removing abnormal data point
By temperature region and background segment, and extract effective temperature field:
Step 3-1: threshold filter is carried out to remove the noise of individual extraordinary image vegetarian refreshments to image, is executed again later adaptive
Median filtering, smoothed temperature field picture while retaining image gray feature；
Step 3-2: to every frame image carry out primary segmentation, using otsu threshold segmentation method by gray difference it is biggish before
Scape transient temperature field picture is separated with background image, to improve rate when later period calculating analysis；
Step 3-3: secondary image segmentation, the color based on temperature field RGB are carried out to the transient temperature field picture extracted
Information identifies the part that target temperature field is interfered by smog, and the part blocked by smog is rejected, to improve temperature field point
The precision of analysis；
Step 4: being directed to the obtained effective temperature field of image segmentation, R, G, B value of each of which pixel are brought into relatively
The temperature transition model answered obtains the temperature value that each pixel is characterized, and then obtains the temperature of entire effective temperature field；
Step 5: according to the temperature value of each pixel, establishing Temperature Distribution rendering image, and temperature field is counted
Credit analysis, obtains mean temperature, maximum temperature and its position, relevant temperature curve, specific as follows:
Video/image based on the acquisition of colored high speed camera 4, which calculate analyzing, obtains entire effective temperature field and temperature
Degree distribution rendering image；It statisticallys analyze locating for the mean temperature, maximum temperature, maximum temperature in video current frame image temperature field
Position；The curve that mean temperature in range of video changes over time curve, maximum temperature changes over time is established, and obtains highest
Frame number position at temperature and maximum average temperature.
Claims (8)
1. a kind of transient state temperature field test method based on high-speed imaging technology, which is characterized in that utilize colored high-speed camera
It (4) is 10 to the temporal resolution of temperature measurement-5S, the transient state temperature field (1) that temperature-measuring range is 1200-3300 degrees Celsius carry out
Measurement, obtains the rendering image and associated temperature characteristic parameter of Temperature Distribution, specifically includes the following steps:
Step 1: utilizing high temperature blackbody furnace, the combination to colored high-speed camera (4), camera lens (3) and neutral-density filter (2)
It is demarcated, while carrying out camera and shooting oversaturated inhibition, obtain the transformation model of multistage image RGB gray value corresponding temperature
And its setup parameter of corresponding colored high-speed camera (4), camera lens (3) and neutral-density filter (2)；
Step 2: the temperature range estimated according to the transient state temperature field to be analyzed (1) selects corresponding colored high speed camera
(4), camera lens (3) and neutral-density filter (2) setup parameter shoot transient temperature using colored high-speed camera (4) later
The video of field (1)；
Step 3: image preprocessing being carried out to every frame image of transient state temperature field (1) video, while removing abnormal data point
By temperature region and background segment, and extract effective temperature field；
Step 4: being directed to the obtained effective temperature field of image segmentation, R, G, B value of each of which pixel are brought into corresponding
Temperature transition model obtains the temperature value that each pixel is characterized, and then obtains the temperature of entire effective temperature field；
Step 5: the temperature value characterized according to each pixel establishes Temperature Distribution rendering image, and unites to temperature field
Credit analysis is counted, mean temperature, maximum temperature and its position, relevant temperature curve are obtained.
2. the transient state temperature field test method according to claim 1 based on high-speed imaging technology, which is characterized in that step
To the scaling method of colored high-speed camera (4), camera lens (3) and neutral-density filter (2) polynary fusion in 1 are as follows:
For the temperature range of transient high temperature field, using high temperature blackbody furnace in 1200 degrees Celsius to 3000 degrees Celsius of section into
Row segmentation calibration, one section of temperature range correspond to a kind of colour high-speed camera (4), camera lens (3) and neutral-density filter (2) group
The parameter setting of conjunction, the purpose of parameter setting are ensuring that the gray scale in the channel R of uncalibrated image collected in the temperature range
Value is in 20 to 240 section；In temperature of each section section, high temperature blackbody furnace is every to increase 50 degrees Celsius of colored high-speed cameras
(4) a black matrix image is acquired, until the gray value in the channel R reaches 240 ± 3 in black matrix image, then it is this group of parameter setting side
Case demarcates the upper limit of temperature range, and the parameter for changing combination setting later carries out the calibration of next temperature section.
3. the transient state temperature field test method according to claim 2 based on high-speed imaging technology, special
Sign is: neutral-density filter (2) selects light percent of pass to be capable of the optical filter of multi-gear adjustment, and camera lens (3) is according to institute
The camera lens combination of the far and near different focal length that can arrange in pairs or groups of distance need to be measured.
4. the transient state temperature field test method according to claim 1 based on high-speed imaging technology, which is characterized in that step
1 and step 2 in shooting transient state temperature field (1) during camera it is oversaturated inhibition and expansion the thermometric upper limit method: pass through tune
Time for exposure of whole colour high-speed camera (4), the aperture size of camera lens (3), the light passing rate of neutral-density filter (2) this three
A combined parameter setting always works in unsaturation during so that colored high-speed camera (4) is shot transient state temperature field (1)
Area, and also improve the working region of colored high-speed camera (4) and the measurement upper limit of temperature；Meanwhile to maximum temperature
The rising space of the channel reserved part image R gray value is answered in segment mark timing, that is, when the temperature of blackbody furnace reaches the upper limit, black
The gray value in the channel body image R should be located at 180 ± 5, also ensure while expanding the temperature measurement upper limit and establish temperature transition mould
The precision of type.
5. the transient state temperature field test method according to claim 1 based on high-speed imaging technology, which is characterized in that step
The foundation of the transformation model of multistage image RGB gray value corresponding temperature is as follows in 1:
If in this section of temperature range, there are linear relationships between the gray value and temperature of uncalibrated image R, G, B, then in the temperature section
It is interior to be fitted temperature-RGB curve using least square method or neural network, establish the corresponding conversion mould of image rgb value and temperature
Type；If in this section of temperature range, linear relationship is not present between the gray value and temperature of uncalibrated image R, G, B, then in the temperature
The corresponding conversion model of image R, G value and temperature is established in section.
6. the transient state temperature field test method according to claim 1 based on high-speed imaging technology, which is characterized in that step
Every frame image of collected transient state temperature field (1) is carried out using the adaptive noise reduction recognizer based on RGB relationship in 3
Pretreatment, specific step is as follows for algorithm:
Step 3-1: threshold filter is carried out to every frame image respectively, to remove the noise of individual extraordinary image vegetarian refreshments, is executed again later
Adaptive median filter, smoothed temperature field picture while retaining image gray feature；
Step 3-2: primary segmentation is carried out to every frame image, using otsu threshold segmentation method by prospect transient state temperature field (1) figure
As separating with background image, transient state temperature field (1) image extracted is obtained, to improve rate when later period calculating analysis；
Step 3-3: carrying out secondary image segmentation to transient state temperature field (1) image extracted, the color letter based on temperature field RGB
Breath identifies the part that target temperature field is interfered by smog, the part blocked by smog is rejected, to improve temperature field analysis
Precision, obtain effective temperature field.
7. the transient state temperature field test method according to claim 1 based on high-speed imaging technology, which is characterized in that step
Relevant temperature curve in 5 refers to the song that mean temperature changes over time curve, maximum temperature changes over time in range of video
Line, maximum temperature and its position refer to maximum temperature, maximum average temperature and their present frame number positions respectively.
8. a kind of transient state temperature field test based on described in any one of the claims 1-7 based on high-speed imaging technology
Method testing system, it is characterised in that: including neutral-density filter (2), camera lens (3), colored high-speed camera (4) and meter
Calculation machine (5), wherein common optical axis sets gradually neutral-density filter (2), camera lens (3), colored high-speed camera (4), colored high
Fast video camera (4) connect with computer (5) again, and the setting of transient state temperature field (1) common optical axis is in front of neutral-density filter (2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811463395.3A CN109506782A (en) | 2018-12-03 | 2018-12-03 | Transient state temperature field test method and its test macro based on high-speed imaging technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811463395.3A CN109506782A (en) | 2018-12-03 | 2018-12-03 | Transient state temperature field test method and its test macro based on high-speed imaging technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109506782A true CN109506782A (en) | 2019-03-22 |
Family
ID=65751445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811463395.3A Pending CN109506782A (en) | 2018-12-03 | 2018-12-03 | Transient state temperature field test method and its test macro based on high-speed imaging technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109506782A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110340357A (en) * | 2019-07-02 | 2019-10-18 | 西安理工大学 | A kind of 3D printing laser melting temperature detection method of temperature recurrence estimation |
| CN110646111A (en) * | 2019-09-19 | 2020-01-03 | 西安工业大学 | Temperature testing method for alloy melt rapid solidification process |
| CN111397759A (en) * | 2020-03-17 | 2020-07-10 | 中国人民解放军63871部队 | Temperature testing method based on RGB (Red, Green and blue) three primary colors |
| CN111784678A (en) * | 2020-07-03 | 2020-10-16 | 中煤航测遥感集团有限公司 | Temperature acquisition method, device and equipment based on thermal infrared image and storage medium |
| CN112270237A (en) * | 2020-10-22 | 2021-01-26 | 中冶南方工程技术有限公司 | Blast furnace gas flow state identification method, system and storage medium |
| CN113865717A (en) * | 2021-09-24 | 2021-12-31 | 重庆大学 | Transient high-temperature colorimetric temperature measuring device based on high-speed camera |
| CN114509166A (en) * | 2022-01-27 | 2022-05-17 | 重庆大学 | High transient high temperature plasma temperature measurement system |
| CN114688990A (en) * | 2020-12-28 | 2022-07-01 | 北京振兴计量测试研究所 | Multi-parameter three-dimensional measuring device, system and method based on light field camera |
| CN114862795A (en) * | 2022-04-29 | 2022-08-05 | 吉林大学 | Object surface temperature measuring system, measuring method, intelligent terminal and storage medium |
| CN116718344A (en) * | 2023-08-10 | 2023-09-08 | 中国空气动力研究与发展中心高速空气动力研究所 | Multi-parameter thrust vector jet optical calibration method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566503A (en) * | 2009-04-30 | 2009-10-28 | 彭小奇 | High-temperature field measuring instrument of CCD image sensor |
| JP2012008058A (en) * | 2010-06-28 | 2012-01-12 | Meiwa E Tec:Kk | Temperature measurement device |
| CN103617635A (en) * | 2013-11-28 | 2014-03-05 | 南京理工大学 | Transient flame detection method based on image processing |
| CN106679819A (en) * | 2016-12-30 | 2017-05-17 | 中国工程物理研究院流体物理研究所 | Transient temperature field measuring method and device |
| CN107202651A (en) * | 2017-07-05 | 2017-09-26 | 西安交通大学 | A kind of minute yardstick priming system combustion temp field measuring device and its temp measuring method |
-
2018
- 2018-12-03 CN CN201811463395.3A patent/CN109506782A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566503A (en) * | 2009-04-30 | 2009-10-28 | 彭小奇 | High-temperature field measuring instrument of CCD image sensor |
| JP2012008058A (en) * | 2010-06-28 | 2012-01-12 | Meiwa E Tec:Kk | Temperature measurement device |
| CN103617635A (en) * | 2013-11-28 | 2014-03-05 | 南京理工大学 | Transient flame detection method based on image processing |
| CN106679819A (en) * | 2016-12-30 | 2017-05-17 | 中国工程物理研究院流体物理研究所 | Transient temperature field measuring method and device |
| CN107202651A (en) * | 2017-07-05 | 2017-09-26 | 西安交通大学 | A kind of minute yardstick priming system combustion temp field measuring device and its temp measuring method |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110340357B (en) * | 2019-07-02 | 2021-11-16 | 西安理工大学 | 3D printing laser melting point temperature detection method based on temperature recursive estimation |
| CN110340357A (en) * | 2019-07-02 | 2019-10-18 | 西安理工大学 | A kind of 3D printing laser melting temperature detection method of temperature recurrence estimation |
| CN110646111A (en) * | 2019-09-19 | 2020-01-03 | 西安工业大学 | Temperature testing method for alloy melt rapid solidification process |
| CN111397759A (en) * | 2020-03-17 | 2020-07-10 | 中国人民解放军63871部队 | Temperature testing method based on RGB (Red, Green and blue) three primary colors |
| CN111397759B (en) * | 2020-03-17 | 2021-10-22 | 中国人民解放军63871部队 | Temperature testing method based on RGB (Red, Green and blue) three primary colors |
| CN111784678A (en) * | 2020-07-03 | 2020-10-16 | 中煤航测遥感集团有限公司 | Temperature acquisition method, device and equipment based on thermal infrared image and storage medium |
| CN112270237A (en) * | 2020-10-22 | 2021-01-26 | 中冶南方工程技术有限公司 | Blast furnace gas flow state identification method, system and storage medium |
| CN112270237B (en) * | 2020-10-22 | 2023-08-29 | 中冶南方工程技术有限公司 | Blast furnace gas flow state identification method, system and storage medium |
| CN114688990A (en) * | 2020-12-28 | 2022-07-01 | 北京振兴计量测试研究所 | Multi-parameter three-dimensional measuring device, system and method based on light field camera |
| CN114688990B (en) * | 2020-12-28 | 2023-11-03 | 北京振兴计量测试研究所 | Multi-parameter three-dimensional measurement device, system and method based on light field camera |
| CN113865717B (en) * | 2021-09-24 | 2023-10-20 | 重庆大学 | Transient high-temperature colorimetric temperature measuring device based on high-speed camera |
| CN113865717A (en) * | 2021-09-24 | 2021-12-31 | 重庆大学 | Transient high-temperature colorimetric temperature measuring device based on high-speed camera |
| CN114509166A (en) * | 2022-01-27 | 2022-05-17 | 重庆大学 | High transient high temperature plasma temperature measurement system |
| CN114509166B (en) * | 2022-01-27 | 2024-02-23 | 重庆大学 | High-transient high-temperature plasma temperature measurement system |
| CN114862795A (en) * | 2022-04-29 | 2022-08-05 | 吉林大学 | Object surface temperature measuring system, measuring method, intelligent terminal and storage medium |
| CN116718344A (en) * | 2023-08-10 | 2023-09-08 | 中国空气动力研究与发展中心高速空气动力研究所 | Multi-parameter thrust vector jet optical calibration method |
| CN116718344B (en) * | 2023-08-10 | 2023-10-27 | 中国空气动力研究与发展中心高速空气动力研究所 | Multi-parameter thrust vector jet optical calibration method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109506782A (en) | Transient state temperature field test method and its test macro based on high-speed imaging technology | |
| CN110199190B (en) | Apparatus and method for three-dimensional radiation and gas mass field estimation in open combustion environments | |
| CN109839072B (en) | DIC-based temperature field and deformation field synchronous measurement method and device | |
| CN110017904B (en) | Multispectral radiation temperature measurement method based on CCD camera | |
| CN104168475B (en) | A kind of imaging type of digital camera changeable parameters obtains the method for color tristimulus values | |
| CN105910712B (en) | Five-channel self-adaption two-dimensional temperature field measuring apparatus and its measurement method | |
| CN102538983B (en) | CCD (Charge Coupled Device) temperature measuring device | |
| CN206146624U (en) | Blind first detection device of thermal infrared hyperspectral imager appearance | |
| CN104180908B (en) | RAW image radiation temperature measuring apparatus and method | |
| US9696210B2 (en) | Extended temperature range mapping process of a furnace enclosure using various device settings | |
| CN110186566A (en) | Two-dimentional true temperature field imaging method and system based on the multispectral thermometric of light-field camera | |
| CN105354859B (en) | A kind of flame visible radiation scaling method | |
| Nocerino et al. | Geometric calibration and radiometric correction of the maia multispectral camera | |
| CN111044153B (en) | Nonlinear calibration method and device for infrared spectrum of spectrum correlation system | |
| Reynolds | Target Signature: Methods | |
| CN110160660A (en) | High-temperature component Multi spectral thermometry method and system based on light-field camera | |
| Danehy et al. | A plenoptic multi-color imaging pyrometer | |
| CN108507674B (en) | Calibration data processing method of light field spectral imaging spectrometer | |
| TW201321728A (en) | Non-contact temperature measuring method | |
| CN113538314A (en) | Four-waveband coaxial-axis photoelectric imaging platform and image fusion processing method thereof | |
| US9664568B2 (en) | Extended temperature mapping process of a furnace enclosure with multi-spectral image-capturing device | |
| CN112525951A (en) | Heating imaging device and method for associating radiation image with accumulated dust temperature | |
| CN111649830A (en) | Radiation spectrum-based color CCD self-calibration temperature measuring device and method | |
| CN105744267B (en) | Acquisition tristimulus values method based on quantic digital camera changeable parameters | |
| CN105784121B (en) | The a wide range of two-dimension temperature field measurement device of nine channel adaptives and its measurement method |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190322 |
|
| RJ01 | Rejection of invention patent application after publication |