CN102609962B - Thermal infrared image simulation method - Google Patents
Thermal infrared image simulation method Download PDFInfo
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- CN102609962B CN102609962B CN201210015500.3A CN201210015500A CN102609962B CN 102609962 B CN102609962 B CN 102609962B CN 201210015500 A CN201210015500 A CN 201210015500A CN 102609962 B CN102609962 B CN 102609962B
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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, be mainly the effective infrared radiation according to each surface in scene, and by its gray processing or pseudo-coloured silkization, generate infrared image.
The infrared image picture that these class methods generate is comparatively stiff, there is no the detailed information of body surface.And the detailed information key character of infrared image is often the Main Basis of distinguishing unlike material, it 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, use this method can obtain that details is abundant, 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 three-dimensional scenic.
The present invention is achieved in that a kind of thermal infrared images analogy method, comprises the following steps:
According to different calorifics attributes, visible images is carried out to material classification.
Each pixel to every class material carries out emissivity simulation, obtains the emissivity of each pixel.
According to the temperature of described emissivity and similar material, generate the radiation temperature of each pixel.
According to the mapping relations of radiation temperature and gray scale, convert described 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 less, method is easy.The present invention can be applicable to the aspects such as infrared simulation, detector simulation checking, Target Signature Investigation.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the thermal infrared images analogy method based on visible images and temperature that provides of the embodiment of the present invention.
Fig. 2 is the process flow diagram of the emissivity simulation of material pixel.
Fig. 3 sets the schematic diagram of tonal range according to the grey level histogram of pixel.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing, the present invention is further elaborated.
Thermal infrared images analogy method of the present invention is by classifying to visible images material according to calorifics attribute, each pixel emissivity in every class material is simulated, each the pixel emissivity obtaining 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 obtaining 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 present invention provides, this thermal infrared images analogy method comprises the following steps:
First, take visible images; According to captured visible images and different calorifics attribute, adopt the Images Classification function in remote sensing image processing software to carry out material classification to visible images, what above-mentioned remote sensing image processing software adopted is ENVI software, is used for realizing material classification.
Secondly, each pixel of every class material is carried out to emissivity simulation, obtain the emissivity of each pixel
;
Again, according to described emissivity
and the temperature of similar material
, generate the radiation temperature of each pixel
;
The temperature of described similar material adopts the some temperature meter MS Portable infrared temperature measurement instrument of company (German Optris) to carry out material temperature survey on the spot or by the infrared simulation module in Vega simulation software, obtains the temperature variation data of material.
This radiation temperature
according to following formula (1), calculate:
（1）
Finally, according to the mapping relations of radiation temperature and gray scale by described radiation temperature
convert gradation of image to, obtain thermal infrared images.
The temperature of described material can be also material in the temperature of different time sections, so just can simulate the thermal infrared images of different time sections.
In the embodiment of the present invention, it is the emissivity of simulating all pixels of material by grey level histogram and the emissivity scope of all pixels of every class material.
Referring to Fig. 2, described pixel emissivity simulation process, comprises the following steps:
First, count the grey level histogram of all pixels of every class material;
Then, according to the emissivity scope of the distribution setting of described grey level histogram and pixel
corresponding tonal range
;
Finally, according to described tonal range and emissivity scope, simulate the emissivity of all pixels.
The gray scale of supposing a certain pixel of such material is
, the emissivity of such material pixel
, can by described tonal range and emissivity range computation, be drawn by formula (2):
In conjunction with formula (1) and (2), obtain the radiation temperature of each pixel in material
:
In the embodiment of the present invention, according to the grey level histogram of all pixels of material, set tonal range, by the number percent of pixel gray scale sum, set.
The implementation method of this invention can be programmed and is achieved by computing machine algorithm according to the present invention.
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 tonal range respectively
bound; Certainly also desirable other percent value.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (3)
1. a thermal infrared images analogy method, is characterized in that, comprises the following steps:
Take visible images;
According to captured visible images and calorifics attribute, adopt the Images Classification function in remote sensing image processing software to carry out material classification to visible images;
Each pixel to every class material carries out emissivity simulation, obtains the emissivity of each pixel; Grey level histogram and emissivity scope by all pixels of every class material are simulated the emissivity of all pixels of every class material, comprise the following steps: the grey level histogram that counts all pixels of every class material; The tonal range corresponding with the emissivity scope of pixel according to the distribution setting of described grey level histogram; According to described tonal range and emissivity scope, simulate the emissivity of all pixels;
According to the temperature of described emissivity and similar material, generate the radiation temperature of each pixel, the temperature of described similar material adopts some temperature meter to carry out material temperature survey on the spot or by the infrared simulation module in Virtual Simulation, obtains the temperature variation data of material;
According to the mapping relations of radiation temperature and gray scale, convert described radiation temperature to gradation of image, obtain thermal infrared images.
2. thermal infrared images analogy method according to claim 1, is characterized in that, according to the distribution setting of the described grey level histogram tonal range corresponding with the emissivity scope of pixel, is to set by the number percent of pixel gray scale sum.
3. thermal infrared images analogy method according to claim 1, is characterized in that, the temperature of described material comprises that material is in the temperature of different time sections.
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| 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 |
| 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 |
| 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 |
| JP6936650B2 (en) * | 2017-07-27 | 2021-09-22 | 三菱パワー株式会社 | Model learning device, trained model generation method, program, trained 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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