CN102609962A - Thermal infrared image simulation method - Google Patents
Thermal infrared image simulation method Download PDFInfo
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- CN102609962A CN102609962A CN2012100155003A CN201210015500A CN102609962A CN 102609962 A CN102609962 A CN 102609962A CN 2012100155003 A CN2012100155003 A CN 2012100155003A CN 201210015500 A CN201210015500 A CN 201210015500A CN 102609962 A CN102609962 A CN 102609962A
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Abstract
The invention discloses a thermal infrared image simulation method, which comprises the following steps: shooting a visible-light image; according to the shot visible-light image and the different thermal properties of materials, carrying out material classification on the visible-light image by using an image classification function of remote sensing image processing software; carrying out emissivity simulation on each image element of each kind of material so as to obtain the emissivity of each image element; according to the emissivity and the temperatures of materials of the same kind, generating the radiation temperature of each image element; and according to the mapping relation between the radiation temperature and the gray level, converting the radiation temperature into a gray level, thereby obtaining a thermal infrared image. The thermal infrared image simulated by using the method is rich in details and strong in sense of reality; meanwhile, the thermal infrared image has less demand on original data and the method is simple. The method disclosed by the invention can be applied to infrared simulation, detector simulation verification, target feature research, and the like.
Description
Technical field
The present invention relates to a kind of thermal infrared images analogy method, be specifically related to a kind of thermal infrared images analogy method based on visible images and temperature.
Background technology
When checking Infrared Measuring System and guidance system and goal in research characteristic, often need a large amount of thermal infrared imagess as verification msg.In traditional infrared image rendering technology, mainly be effective infrared radiation, and, generate infrared image its gray processing or pseudo-coloured silkization according to each surface in the scene.
The infrared image picture that these class methods generate is comparatively stiff, does not have the detailed information of body surface.And the detailed information key character of infrared image often is a main foundation of distinguishing unlike material, is the important means that improves the infrared sense of reality of drawing result.
Summary of the invention
The object of the present invention is to provide a kind of thermal infrared images analogy method, utilization this method can obtain that details is abundant, the thermal infrared images and the thermal infrared texture of strong sense of reality, and can be loaded into the three-dimensional thermal infrared scene that forms high fidelity in the three-dimensional scenic.
The present invention is achieved in that a kind of thermal infrared images analogy method, may further comprise the steps:
According to different calorifics attributes visible images is carried out the material classification.
Each pixel to every type of material carries out the emissivity simulation, obtains the emissivity of each pixel.
According to the temperature of said emissivity and similar material, generate the radiation temperature of each pixel.
Mapping relations according to radiation temperature and gray scale convert said radiation temperature to gradation of image, obtain thermal infrared images.
The present invention has the following advantages: 1, the thermal infrared images details of simulation is abundant, strong sense of reality.2, raw data is required to lack, method is easy.The present invention can be applicable to aspects such as infrared simulation, detector simulation checking, Target Signature Investigation.
Description of drawings
Fig. 1 is the process flow diagram based on the thermal infrared images analogy method of visible images and temperature that the embodiment of the invention provides.
Fig. 2 is the process flow diagram of the emissivity simulation of material pixel.
Fig. 3 is a synoptic diagram of setting tonal range according to the grey level histogram of pixel.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing.
Thermal infrared images analogy method of the present invention is through classifying to the visible images material according to the calorifics attribute; Each pixel emissivity in every type of material is simulated; Each the pixel emissivity that obtains according to simulation again and the temperature of similar material generate the radiation temperature of each pixel, then according to the mapping relations of radiation temperature and gray scale or color; Convert the radiation temperature of each pixel that obtains to gray scale or color, thereby obtain thermal infrared images.
Referring to Fig. 1, the figure shows the process flow diagram of a kind of thermal infrared images analogy method that the embodiment of the invention provides, this thermal infrared images analogy method may further comprise the steps:
At first, take visible images; According to captured visible images and different calorifics attributes, adopt the image classification function in the remote sensing image processing software that visible images is carried out the material classification, above-mentioned remote sensing image processing The software adopted be ENVI software, be used for realizing the material classification.
Secondly; Each pixel to every type of material carries out the emissivity simulation, obtains the emissivity
of each pixel;
Once more; According to the temperature
of said emissivity
and similar material, generate the radiation temperature
of each pixel;
The temperature of said similar material adopts the some temperature meter portable infrared thermometer of MS of company (German Optris) to carry out material temperature survey on the spot or obtains the temperature variation data of material through the infrared simulation module in the Vega simulation software.
This radiation temperature
calculates according to following formula (1):
At last; Mapping relations according to radiation temperature and gray scale convert said radiation temperature
to gradation of image, obtain thermal infrared images.
The temperature of said material also can be the temperature of material in different time sections, so just can simulate the thermal infrared images of different time sections.
In the embodiment of the invention, be the emissivity of simulating all pixels of material through the grey level histogram and the emissivity scope of every type of all pixels of material.
Referring to Fig. 2, described pixel emissivity simulation process may further comprise the steps:
At first, count the grey level histogram of every type of all pixels of material;
Then, according to the distribution setting of said grey level histogram and the corresponding tonal range of the emissivity scope of pixel
;
At last, simulate the emissivity of all pixels according to said tonal range and emissivity scope.
The gray scale of supposing a certain pixel of such material is
; The emissivity of such material pixel
then can be drawn by said tonal range and emissivity range computation through formula (2):
Obtain the radiation temperature
of each pixel in the material in conjunction with formula (1) and (2):
In the embodiment of the invention, set tonal range, set by the number percent of pixel gray scale sum according to the grey level histogram of all pixels of material.
The implementation method of this invention can be programmed through computing machine algorithm according to the present invention and is achieved.
Referring to Fig. 3; For example get 80% pixel gray scale sum as tonal range
, the gray level of 10% position of capture unit gray scale sum is as the bound of tonal range
respectively; Certainly also desirable other percent value.
The above only is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also should be regarded as protection scope of the present invention.
Claims (4)
1. a thermal infrared images analogy method is characterized in that, may further comprise the steps:
Take visible images;
According to captured visible images and calorifics attribute, adopt the image classification merit in the remote sensing image processing software that visible images is carried out the material classification;
Each pixel to every type of material carries out the emissivity simulation, obtains the emissivity of each pixel;
Temperature according to said emissivity and similar material; Generate the radiation temperature of each pixel, the temperature employing point temperature meter of said similar material carries out material temperature survey on the spot or passes through the temperature variation data of the infrared simulation module acquisition material in the virtual emulation technology;
Mapping relations according to radiation temperature and gray scale convert said radiation temperature to gradation of image, obtain thermal infrared images.
2. thermal infrared images analogy method according to claim 1 is characterized in that, simulates the emissivity of every type of all pixels of material through the grey level histogram and the emissivity scope of every type of all pixels of material; May further comprise the steps:
Count the grey level histogram of every type of all pixels of material;
The tonal range corresponding with the emissivity scope of pixel according to the distribution setting of said grey level histogram;
Emissivity according to said tonal range and all pixels of emissivity scope simulation.
3. according to the said thermal infrared images analogy method of claim 2, it is characterized in that, is to set by the number percent of pixel gray scale sum according to the distribution setting of the said grey level histogram tonal range corresponding with the emissivity scope of pixel.
4. thermal infrared images analogy method according to claim 1 is characterized in that, the temperature of said material comprises the temperature of material in different time sections.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103196564A (en) * | 2013-03-25 | 2013-07-10 | 北京航空航天大学 | Infrared thermal imaging temperature measuring method by correcting surface emissivity through image segmentation |
| CN103335727A (en) * | 2013-07-06 | 2013-10-02 | 湖南农业大学 | Thermal imaging image processing method based on setting of multiple emissivities for visible light divided area |
| CN103869708A (en) * | 2012-12-14 | 2014-06-18 | 上海机电工程研究所 | Complex infrared environment modeling method supporting multispectral engagement level simulation |
| CN105389591A (en) * | 2015-11-11 | 2016-03-09 | 中国人民解放军海军航空工程学院 | Method for verifying simulation of typical effect of infrared imaging sensor |
| CN106644092A (en) * | 2017-01-05 | 2017-05-10 | 西安电子科技大学 | Visible light information-based infrared texture temperature field modulation method |
| CN110998654A (en) * | 2017-07-27 | 2020-04-10 | 三菱日立电力系统株式会社 | Model learning device, learning completion model generation method, program, learning completion model, monitoring device, and monitoring method |
| WO2021253187A1 (en) * | 2020-06-15 | 2021-12-23 | 深圳市大疆创新科技有限公司 | Infrared image processing method, image acquisition device, image processing device, and computer readable storage medium |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103869708A (en) * | 2012-12-14 | 2014-06-18 | 上海机电工程研究所 | Complex infrared environment modeling method supporting multispectral engagement level simulation |
| CN103196564A (en) * | 2013-03-25 | 2013-07-10 | 北京航空航天大学 | Infrared thermal imaging temperature measuring method by correcting surface emissivity through image segmentation |
| CN103196564B (en) * | 2013-03-25 | 2015-04-29 | 北京航空航天大学 | Infrared thermal imaging temperature measuring method by correcting surface emissivity through image segmentation |
| CN103335727A (en) * | 2013-07-06 | 2013-10-02 | 湖南农业大学 | Thermal imaging image processing method based on setting of multiple emissivities for visible light divided area |
| CN105389591A (en) * | 2015-11-11 | 2016-03-09 | 中国人民解放军海军航空工程学院 | Method for verifying simulation of typical effect of infrared imaging sensor |
| CN105389591B (en) * | 2015-11-11 | 2018-06-08 | 中国人民解放军海军航空工程学院 | A kind of verification method of infrared imaging sensor typical effect emulation |
| CN106644092A (en) * | 2017-01-05 | 2017-05-10 | 西安电子科技大学 | Visible light information-based infrared texture temperature field modulation method |
| CN106644092B (en) * | 2017-01-05 | 2019-01-15 | 西安电子科技大学 | Infrared texture temperature field modulator approach based on visible optical information |
| CN110998654A (en) * | 2017-07-27 | 2020-04-10 | 三菱日立电力系统株式会社 | Model learning device, learning completion model generation method, program, learning completion model, monitoring device, and monitoring method |
| CN110998654B (en) * | 2017-07-27 | 2024-03-26 | 三菱重工业株式会社 | Model learning device, learning completion model generation method, program, learning completion model, monitoring device, and monitoring method |
| WO2021253187A1 (en) * | 2020-06-15 | 2021-12-23 | 深圳市大疆创新科技有限公司 | Infrared image processing method, image acquisition device, image processing device, and computer readable storage medium |
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| CN102609962B (en) | 2014-05-07 |
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