CN103162843B - Zero shutter thermal infrared imager based on voice operated exchange (VOX) detector and use method thereof - Google Patents
- ️Wed Apr 12 2017
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- CN103162843B CN103162843B CN201310091079.9A CN201310091079A CN103162843B CN 103162843 B CN103162843 B CN 103162843B CN 201310091079 A CN201310091079 A CN 201310091079A CN 103162843 B CN103162843 B CN 103162843B Authority
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Abstract
The invention relates to a zero shutter thermal infrared imager based on a voice operated exchange (VOX) detector. The zero shutter thermal infrared imager based on the VOX detector comprises a high-low temperature chamber and a machine core, wherein a monitor, a computer and a power source are respectively connected with the machine core. The use method of the thermal infrared imager includes the following steps: collecting original images; forecasting a background; revising a point 2 and a point 1; and performing image enhancement display processing. Compared with a usual shutter revision method, the zero shutter thermal infrared imager based on the VOX detector and the use method thereof can effectively reduce the size and the power consumption of an infrared machine core, are unlike a conventional method in which a shutter needs to be used to obtain uniform images at every time of revision, and use the original images as background images to revise, and therefore system design is simplified greatly, the size and the power consumption are reduced, and simultaneously due to zero shutter design, the problems of uneven images caused by heat emitting of the shutter and the like are avoided.
Description
Technical field
The invention belongs to infrared imagery technique field, and in particular to it is a kind of based on VOx detectors without shutter infrared thermal imagery Instrument and its using method.
Background technology
The developing history of uncooled IRFPAs.There is pick-up tube made by infrared thermoelectrical material in early stage, and made Thermal television.But sensitivity is too low, and image streaking phenomenon is serious, therefore is not widely applied.In eight, the nineties once Jing is applied in industrial heat imaging.But when although this generation Thermal Imaging Common Modules obtains widely applying, but send out Existing very serious shortcoming is：High cost, working service and logistics support difficulty (refrigeration), poor reliability.So English, two countries of U.S. The national military has formulated the plan of development uncooled IRFPAs, it is therefore an objective to develop the thermal imaging that user affords and affords to use. Plan is secrecy, starts from last century late nineteen seventies, has result to announce successively until 1992.The detection equipment for being adopted Material is mainly two kinds, i.e. pyroelectricity and bolometer.Having using pyroelectricity material：Texas companies of the U.S. develop for 1987 Go out 100 × 100 yuan of BST, NETD0.5 DEG C.Nineteen ninety is estimated to first imaging array paid, and bigger Jiao puts down Face array has reached desired 0.3 DEG C temperature resolution, measures NETD for 0.08 DEG C.328 × 245 yuan are issued within 1993 Array, pixel centre-to-centre spacing is 48.5 μm.Tested system obtained NETD and be less than 0.04 DEG C using f/1 light class hours. Britain have developed 100 × 100 yuan of PZT in 1988.Loral companies of the U.S. have developed 192 × 128 yuan of heat within 1991 Pyroelectric device part, NETD is less than 0.07 DEG C.Using the mainly Honeywell Corp. USA of bolometer, the said firm is 1985 80000 yuan of resistor-type bolometers that year develops, NETD0.3 DEG C.Nineteen ninety adopts 336 × 240 element array systems of vanadium oxide First portable thermal imaging system, the NETD=39mK (F=1) of acquisition are made.Hereafter, either pyroelectricity still surveys radiant heat Meter, the device of 320 × 240 series and thermal imaging are occurred in that a lot.Detector has been reduced in size to 30 μ since late nineteen nineties M or so, occurs in that the array of 640 × 480 series, and the NETD of product has reached below 50mK.At present many companies have demonstrated This kind of thermal imaging system.
Infrared focal plane array image-forming system is the trend of infrared imagery technique development, but due to the restriction of technological level, Generally existing non-uniformity between each probe unit response characteristic of infrared focal plane array (IRFPA), and it will cause red The temperature resolution of outer imaging system is remarkably decreased, so that make it be difficult to meet the use requirement of infrared imaging system, thus work Infrared focal plane array used in journey almost all adopts without any exception Nonuniformity Correction.
For the corresponding bearing calibration that the non-uniformity of infrared focal plane array is proposed, two are broadly divided into big Class：One class is based on the bearing calibration calibrated, such as one point method, two-point method etc..Such Method And Principle is succinct, hardware be easily achieved and It is integrated；Correction accuracy is high, can be used for the tolerance of scene temperature；Target is had no requirement, in being actual IRFPA subassembly products The main method for adopting.But this kind of method is limited to the correction error that IRFPA response drifts are brought；
Another kind of is based on the self-adapting correction method of scene class, such as temporal high pass filter correction method, corrected neural network Method and constant statistics constraint correction method etc..This kind of method can to a certain extent overcome the correction that IRFPA response drifts are brought Error, does not require or only needs to simple calibration, according to the adaptive renewal correction coefficient of scene information, but this kind of algorithm application When it is computationally intensive, generally require special parallel computer architecture to realize, be unfavorable for the realization of system hardware, integrated and to field The real-time processing of scape.
The Central China University of Science and Technology it is easily newly-built et al.《Infrared and laser engineering》The 1st phase of volume 33 in 2004《Infrared focus plane The two point correction and foundation of array heterogeneity》In one text with Planck (Plank) radiation law and infrared acquisition unit it is linear Based on response model, the two point correction method of infrared focal plane asymmetric has intactly been derived in theory.Article is from reason By the physical basis of two-point method are above demonstrated, if the response for showing IRFPA is stable, linear, the calculation of two point correction Method does not have error, but the response of actually IRFPA detections unit is all nonlinear, and there is a problem of response drift, therefore, use There is larger remainder error in two point correction method.
The deficiency of these bearing calibrations is all have remainder error, and remainder error is relevant with the temperature of detector, shutter, It is exactly one layer of noise that remainder error is showed on video, affects performance and the application of thermal imaging system.
The conventional two big class asymmetric correction methods of analysis, based on the bearing calibration of calibration, such as two-point method, due to There is response drift in IRFPA, actual timing is needed by the use of homogeneous reference source as shutter, periodically collection face source black matrix image It is used to calibrate as background frames, can there is larger remainder error after otherwise correcting；Based on the self-adapting correction method of scene class, Such as neural networks correction algorithm, using when it is computationally intensive, be unfavorable for the real-time processing of system, and mesh is often there is also after correcting The problems such as mark degeneration and pseudomorphism.
The content of the invention
The present invention propose it is a kind of based on VOx detectors without shutter thermal infrared imager and its using method.In VOx detectors On the basis of develop and realize without shutter correction method, substantially eliminating remainder error, compensate for of the prior art Weak point.
The technical scheme is that what is be achieved in that：
A kind of thermal infrared imager without shutter based on VOx detectors, including high-low temperature chamber, are provided with the high-low temperature chamber Movement, the movement is connected to monitor, computer and power supply.
The described thermal infrared imager without shutter based on VOx detectors also includes camera lens, is arranged at the high-low temperature chamber On.
The described using method without shutter thermal infrared imager based on VOx detectors, comprises the following steps：
1) original image acquisition step：Program is write in infrared movement, is switched on power, video and serial ports, be placed on height In incubator, the uniform planar in alignment box is preferably minimized warm TLDEG C degree, be incubated 2 hours, then on movement electricity, give at once Movement sends acquisition, and the automatic coefficient capture program in movement will start, and movement can be gathered at once under Current Temperatures Point, as minimum temperature sample；High-low temperature chamber is allowed slowly to be warmed up to highest temperature TH℃.In this process, movement can be according to spy The temperature for measuring, gathers the sample image under detector different temperatures on one group of temperature spot, and this image sets is had machine On core in FLASH, while recording the temperature value of now detector.
2) background forecast step：Based on there are the image sets in FLASH with more than, using prediction algorithm Background is obtained Picture；
3) 1 point and 2 point calibrations：As |input paramete, it is ImgBK to obtain background forecast image to temperature with Current detector, Recycle at 1 point and 2 point calibration formula are corrected to infrared image：
Im hAdj (i, j) of formula 1=(ImgU (i, j)-ImgBK (i, j)) * Nuc (i, j),
Wherein ImgAdj is the image after correction, and (i, j) represents the horizontal and vertical pixel coordinate of image array；ImgU is Original image, ImgBK is the background image of prediction, and Nuc is 2 point calibration parameters.
Described original image acquisition step includes：
Then thermal infrared imager is placed in high-low temperature chamber to thermal imaging system programming program, connecting communication cable, setting height Incubator is lowest temperature TLDEG C, 2 hours of insulation allow thermal imaging system fully to lower the temperature, to electricity on thermal imaging system, by communication cable to thermal imagery Instrument sends the control command for doing shutter coefficient, and thermal imaging system starts detection temperature, and when temperature change n DEG C, collection is current Image, and exist in the FLASH inside thermal imaging system, while recording current accurate temperature value.In order to ensure that thermal imaging system is adopted Temperature stabilization and picture quality, must control the programming rate of high-low temperature chamber during collection image, slowly be warmed up to highest temperature TH℃；
To ensure to collect the sample of maximum temperature point, in high temperature THDEG C when, be incubated 2 hours, it is ensured that thermal imaging system itself Temperature rises to highest, and so, thermal infrared imager has collected M group images in whole temperature section, records as follows：
TEMP []={ T0, T1, T2... ..TM-1}；
TEMP_ADDR []={ TA0, TA1, TA2... ..TAM-1}；
TEMP [] is the corresponding temperature value of M group images；
TEMP_ADDR [] is the corresponding image FLASH storage address of M group images.
Described background forecast step includes：
1) thought of thinking or two point correction：
Im gAdj (i, j)=(ImgU (i, j)-ImgBK (i, j)) * Nuc (i, j)
2) acquisition of two point correction coefficient Nuc (i, j) the two point correction method traditional with us is consistent, gain correction coefficient Obtain：The image BlackH and BlackL of the isotropic radiator under two width difference radiation intensity under same ambient temperature conditions；
Formula 2
3) background image ImgBK (i, j) is the background preserved in thermal imaging system, is modified with reference to the actual image for obtaining To new background image NImgBK；
The NIm gBK=K*Im gBK+B of formula 3
4) image is carried out two point correction and is obtained image Im using existing gain coefficient Nuc and biasing coefficient ImgBK GAdj, in image ImgAdj, search is less than the pixel pair of certain threshold value gray scale difference value in the range of domain is faced, and will meet the threshold value The all pixels of condition are come to searching out；The calculating process of adjusted coefficient K and B is：The output difference of neighbor：
Formula 4 is simplified expression, and partial parameters are replaced：
E=Nuc (a) (Im gU (a)-K*Im gBK (a)-B)
-Nuc(b)*(Im gU(b)-K*Im gBK(b)-B)
E=Nuc (a) * Im gU (a)-Nuc (b) * Im gU (b)
-K*(Nuc(a)*Im gBK(a)
-Nuc(b)*Im gBK(b))
-B*(Gain(a)-Gain(b))
A1=Nuc (a) * ImgU (a)-Nuc (b) * ImgU (b)
Formula 5A2=Nuc (a) * ImgBK (a)-Nuc (b) * ImgBK (b)
A3=Nuc (a) * ImgBK (b)
Respectively obtain：
Formula 6
It is biased in real time：
The NIm gBK=M*Im gBK+C of formula 7
Obtaining real-time NIm gAdj results is：
Formula 8NIm gAdj=(Im gU (i, j)-NIm gBK (i, j)) * Nuc (i, j)
Described background forecast step is switched based on many backgrounds, and double background weightings carry out background amendment.Above procedure is Algorithm idea and calculation procedure based on single background modification method, but in actual test, it can be found that single background is present not Foot.When focal plane temperature differs greatly with the background focal plane for being preserved, the background cannot obtain appropriate real-time background, Therefore need, using the background of multiple different focal planes temperature, when temperature changes in focal plane background to be switched over.But this Sample directly switches background, can there is a problem of image flicker, therefore is considered as the Jing revised backgrounds of double backgrounds, according to reality When image and two backgrounds calculate the weight coefficient of two backgrounds, obtain real-time background.
As a example by gather 4 different focal planes temperature backgrounds, when real time temperature scope is between temperature 1 and temperature 2, in real time Background is weighted with background when temperature 1 and temperature 2 and is asked for, and real time temperature exists the closer to which background temperature, current background As a result the weight in background is just big, when the close background temperature 2 of real-time focal plane temperature, at this moment the weight of temperature 2 substantially close to 1, when temperature continues to raise, real time temperature is reached between this degree temperature 2 and Ben Du temperature 3, i.e., is carried out using background 2 and background 3 Weighting, because temperature is slow rising, when temperature is just marginally larger than temperature 2, at this moment or with this degree temperature 2 as major weight. So, would not occur the problem of image flicker, and the proof in slave computer transplanting when background switches.
Algorithm idea simply employs the sheet at a temperature of two different focal planes as single background modification method above Bottom, according to realtime graphic and the weight coefficient of two background two backgrounds of calculating, obtains real-time background
The Noffset=K1*Im gBK1+K2*Im gBK2+B of formula 9
The calculating process of weight coefficient K1 and K2 and B is as follows：
With list background algorithm idea, two backgrounds minimum with the temperature contrast are selected according to when front focal plane temperature, chosen One of background and gain coefficient are selected, image NIm gAdj data are obtained, is searched in image NIm gAdj and is being faced domain model Enclose pixel pair of the interior gray scale difference value less than certain threshold value, will be meeting the threshold condition so pixel is come to searching out.
The calculating process of adjusted coefficient K 1, K2 and B is：
Formula 10
E=Nuc (a) (ImgU (a)-K1*Im gBK1 (a)-K2*Im gBK2 (a)-C)-
Nuc(b)*(X(b)-K1*Im gBK1(b)-K2*Im gBK2(b)-C)
E=Nuc (a) * X (a)-Nuc (b) * X (b)
-K1*(Nuc(a)*Im gBK1(a)-Nuc(b)*Im gBK1(b))
-K2*(Nuc(a)*Im gBK2(a)*Nuc(b)*Im gBK2(b))
-C*(Nuc(a)-Nuc(b))
For simplified expression, partial parameters are replaced：
Formula 11
A1=Nuc (a) * X (a)-Nuc (b) * X (b)
A2=Nuc (a) * Im gBK1 (a)-Nuc (b) * Im gBK1 (b)
A3=Nuc (a) * Im gBK2 (a)-Nuc (b) * Im gBK2 (b)
A4=Nuc (a)-Nuc (b)
Order
Formula 12
Order
Formula 13
Obtain
Formula 14
It is biased in real time：
The Noffset=K1*Im gBK1+K2*Im gBK2+B of formula 15
Obtaining realtime graphic NIm gAdj results is：
Formula 16NIm gAdj=(Im gU (i, j)-NIm gBK (i, j)) * Nuc (i, j).
Beneficial effects of the present invention are：
Present invention contrast prior art has following innovative point：
Remove the algorithm of shutter；
The algorithm for removing shutter is applied on VOx movements；
Automatically the apparatus and method for doing shutter coefficient.
Present invention contrast prior art has following remarkable advantage：
Improve the heterogeneity of image, it is to avoid the heterogeneity that structure and thermal environment are brought；
Compare with the thermal imaging system for having shutter, reduce power consumption, reduce the complexity of system design, improve noise Than；
Without shutter, the reliability of system is improve, it is to avoid some failures of shutter.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the method flow diagram of the thermal infrared imager described in the embodiment of the present invention；
Fig. 2 is the structural representation that shutter coefficient is done without camera lens of the thermal infrared imager described in the embodiment of the present invention；
Fig. 3 is the structural representation that shutter coefficient is done with camera lens of the thermal infrared imager described in the embodiment of the present invention；
Fig. 4 is common movement to uniform surface image；
Fig. 5 is common movement to target image；
Fig. 6 is to uniform surface image without shutter movement；
Fig. 7 is to target image without shutter movement.
In figure：
1st, high-low temperature chamber；2nd, movement；3rd, monitor；4th, computer；5th, power supply；6th, camera lens.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Embodiment 1
As shown in Fig. 2 the thermal infrared imager without shutter based on VOx detectors described in the embodiment of the present invention 1, including height Movement 2 is provided with cryogenic box 1, the high-low temperature chamber 1, the movement 2 is connected to monitor 3, computer 4 and power supply 5.
Collection without shutter sample coefficient is realized using the thermal infrared imager as described in embodiment 1 (such as Fig. 2)：
Then thermal infrared imager is placed in high-low temperature chamber to thermal imaging system programming program, connecting communication cable, setting height Incubator is lowest temperature TL DEG C, and 2 hours of insulation allow thermal imaging system fully to lower the temperature, to electricity on thermal imaging system, by communication cable to thermal imagery Instrument sends the control command for doing shutter coefficient, and thermal imaging system starts detection temperature, and when temperature change n DEG C, collection is current Image, and exist in the FLASH inside thermal imaging system, while recording current accurate temperature value.In order to ensure that thermal imaging system is adopted Temperature stabilization and picture quality, must control the programming rate of high-low temperature chamber during collection image, slowly be warmed up to highest temperature TH DEG C,
To ensure to collect the sample of maximum temperature point, in high-temperature T DEG C, 2 hours are incubated, it is ensured that thermal imaging system itself Temperature rises to highest, and so, thermal infrared imager has collected M group images in whole temperature section, records as follows：
TEMP []={ T0, T1, T2 ... ... TM-1 }；
TEMP_ADDR []={ TA0, TA1, TA2 ... ... TAM-1 }；
TEMP [] is the corresponding temperature value of M group images；
TEMP_ADDR [] is the corresponding image FLASH storage address of M group images.
When after the completion of the collection of the sample image of total temperature section, thermal imaging system just can pass through under conditions of without shutter Correct images are obtained without shutter algorithm.
Contrast Fig. 4,5 and 6,7, that layer of noise on common movement is heavier, very light without noise on shutter movement .
Embodiment 2
As shown in figure 3, the thermal infrared imager without shutter based on VOx detectors described in the embodiment of the present invention 2, including height Movement 2 and camera lens 6 are provided with cryogenic box 1, the high-low temperature chamber 1, the movement 2 is connected to monitor 3, the and of computer 4 Power supply 5.
Collection without shutter sample coefficient is realized using the thermal infrared imager as described in embodiment 2 (such as Fig. 3)：Process and enforcement Example 1 is identical.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (4)
1. a kind of using method of the thermal infrared imager without shutter based on VOx detectors, it is characterised in that：It is described based on VOx The thermal infrared imager without shutter of detector includes high-low temperature chamber and camera lens, and movement, the movement are provided with the high-low temperature chamber It is connected to monitor, computer and power supply；The camera lens is arranged on the high-low temperature chamber；It is described based on VOx detectors The using method without shutter thermal infrared imager comprise the following steps：
1) original image acquisition step：Program is write in infrared movement, is switched on power, video, serial ports is placed on high-low temperature chamber In, the uniform planar in alignment box is preferably minimized warm TLDEG C degree, be incubated 2 hours, then on movement electricity, at once to movement Acquisition is sent, the automatic coefficient capture program in movement will start, the point that movement can be gathered at once under Current Temperatures is made For minimum temperature sample；High-low temperature chamber is allowed slowly to be warmed up to highest temperature THDEG C, in this process, movement meeting basis detects temperature The sample image gathered on one group of temperature spot under detector different temperatures is spent, and this image sets is had FLASH on movement In, while recording the temperature value of now detector；
2) background forecast step：Based on there are the image sets in FLASH with more than, using prediction algorithm background image is obtained；
3) 1 point and 2 point calibrations：It is |input paramete according to the temperature of Current detector, it is ImgBK to obtain background forecast image, then Infrared image is corrected using 1 point and 2 point calibration formula：
(0.1) Im gAdj (i, j)=(Im gU (i, j)-Im gBK (i, j)) * Nuc (i, j),
Wherein ImgAdj is the image after correction, and (i, j) represents the horizontal and vertical pixel coordinate of image array；ImgU is original Image, ImgBK is the background image of prediction, and Nuc is 2 point calibration parameters.
2. using method according to claim 1, it is characterised in that described original image acquisition step includes：
Then thermal infrared imager is placed in high-low temperature chamber to thermal imaging system programming program, connecting communication cable, sets high-low temperature chamber For lowest temperature TLDEG C, 2 hours of insulation allow thermal imaging system fully to lower the temperature, and to electricity on thermal imaging system, are sent out to thermal imaging system by communication cable Send the control command for doing shutter coefficient, thermal imaging system to start detection temperature, when temperature change n DEG C, gather present image, And in there is the FLASH inside thermal imaging system, while recording current accurate temperature value；In order to ensure that thermal imaging system gathers image When temperature stabilization and picture quality, the programming rate of high-low temperature chamber must be controlled, be slowly warmed up to highest temperature TH℃；
To ensure to collect the sample of maximum temperature point, in high temperature THDEG C when, be incubated 2 hours, it is ensured that in the temperature of thermal imaging system itself Highest is raised to, so, thermal infrared imager has collected M group images in whole temperature section, records as follows：
TEMP []={ T0, T1, T2... TM-1}；
TEMP_ADDR []={ TA0, TA1, TA2... TAM-1}；
TEMP [] is the corresponding temperature value of M group images；
TEMP_ADDR [] is the corresponding image FLASH storage address of M group images.
3. using method according to claim 1, it is characterised in that described background forecast step includes：
1) thought of thinking or two point correction：
Im gAdj (i, j)=(Im gU (i, j)-Im gBK (i, j)) * Nuc (i, j)
2) acquisition of two point correction coefficient Nuc (i, j) the two point correction method traditional with us is consistent, and gain correction coefficient is obtained Take：The image BlackH and BlackL of the isotropic radiator under two width difference radiation intensity under same ambient temperature conditions；
3) background image ImgBK (i, j) is the background preserved in thermal imaging system, is modified with reference to the actual image for obtaining and obtains new Background image NImgBK；
(0.3) N Im gBK=K*Im gBK+B
4) image is carried out two point correction and is obtained image Im gAdj using existing gain coefficient Nuc and biasing coefficient ImgBK, In image Im gAdj, search is less than the pixel pair of certain threshold value gray scale difference value in the range of domain is faced, and will meet the threshold condition All pixels are come to searching out；The calculating process of adjusted coefficient K and B is：The output difference of neighbor：
(0.4) it is simplified expression, partial parameters is replaced：
E=Nuc (a) (Im gU (a)-K*Im gBK (a)-B)-Nuc (b) * (Im gU (b)-K*Im gBK (b)-B)
E=Nuc (a) * Im gU (a)-Nuc (b) * Im gU (b)-K* (Nuc (a) * Im gBK (a)-Nuc (b) * Im gBK (b))- B*(Gain(a)-Gain(b))
Respectively obtain：
It is biased in real time：
(0.7) N Im gBK=M*Im gBK+C
Obtaining real-time N Im gAdj results is：
(0.8) N Im gAdj=(Im gU (i, j)-N Im gBK (i, j)) * Nuc (i, j).
4. using method according to claim 1, it is characterised in that described background forecast step is based on many undercutting Change, double background weightings carry out background amendment to be included：It is more than the algorithm idea and calculation procedure based on single background modification method, but In actual test, it can be found that single background Shortcomings, when focal plane temperature and the background focal plane difference for being preserved compared with When big, the background cannot correct out appropriate real-time background, it is therefore desirable to using the background of multiple different focal planes temperature, Focal plane temperature switches over background when changing, but this background of directly cutting can have image flicker, therefore The background of double background modification methods is considered as, according to realtime graphic and the weight coefficient of two background two backgrounds of calculating, is obtained To real-time background；
As a example by gather 4 different focal planes temperature backgrounds, when real time temperature scope is between temperature 1 and temperature 2, in real time originally Bottom is asked for being locally weighted when temperature 1 and temperature 2, and, the closer to which background temperature, current background is in knot for real time temperature Weight in fruit background is just big, and when the close background temperature 2 of real-time focal plane temperature, at this moment the weight of temperature 2 is substantially close to 1, When temperature continues to raise, real time temperature is reached between this degree temperature 2 and Ben Du temperature 3, i.e., carry out adding using background 2 and background 3 Power, because temperature is slow rising, when temperature is just marginally larger than temperature 2, at this moment or with this degree temperature 2 as major weight；And There is image flicker when not there is a problem of that background switches, the thought is with proof in transplanting in slave computer；
Algorithm idea simply employs the background at a temperature of two different focal planes as single background modification method above, According to realtime graphic and the weight coefficient of two background two backgrounds of calculating, real-time background is obtained
(0.9) Noffset=K1*Im gBK1+K2*Im gBK2+B
The calculating process of weight coefficient K1 and K2 and B is as follows：
With list background algorithm idea, two backgrounds minimum with the temperature contrast are selected according to when front focal plane temperature, select it In a background and gain coefficient, obtain image N Im gAdj data, search in image N Im gAdj and facing domain scope Interior gray scale difference value carrys out all pixels for meeting the threshold condition to searching out less than the pixel pair of certain threshold value；
The calculating process of adjusted coefficient K 1, K2 and B is：
(1.10)
E=Nuc (a) (Im gU (a)-K1*Im gBK1 (a)-K2*Im gBK2 (a)-C)-Nuc (b) * (X (b)-K1*Im gBK1 (b)-K2*Im gBK2(b)-C)
E=Nuc (a) * X (a)-Nuc (b) * X (b)-K1* (Nuc (a) * Im gBK1 (a)-Nuc (b) * Im gBK1 (b))-K2* (Nuc(a)*Im gBK2(a)*Nuc(b)*Im gBK2(b))-C*(Nuc(a)-Nuc(b))
For simplified expression, partial parameters are replaced：
(0.10)
A1=Nuc (a) * X (a)-Nuc (b) * X (b)
A2=Nuc (a) * Im gBK1 (a)-Nuc (b) * Im gBK1 (b)
A3=Nuc (a) * Im gBK2 (a)-Nuc (b) * Im gBK2 (b)
A4=Nuc (a)-Nuc (b)
Order
(0.11)
Order
(0.12)
Obtain
(0.13)
It is biased in real time：
(0.14) Noffset=K1*Im gBK1+K2*Im gBK2+B
Obtaining realtime graphic N Im gAdj results is：
(0.15) N Im gAdj=(Im gU (i, j)-N Im gBK (i, j)) * Nuc (i, j).
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