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Temperature reconstruction method applied to flame light field refocusing imaging

A light field imaging and refocusing technology, which is applied in the field of flame imaging simulation, can solve the problems of low accuracy of temperature distribution and low temperature reconstruction accuracy, and achieve the effect of improving the accuracy of temperature distribution

Active Publication Date: 2018-08-10
HARBIN INST OF TECH
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  • Abstract
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the accuracy of the existing refocusing image is limited by the spatial resolution, which leads to low accuracy of temperature reconstruction, and the obvious lack of blocks of the existing refocusing image leads to the low accuracy of the temperature distribution at the corresponding position inside the flame , and a temperature reconstruction method applied to flame light field refocusing imaging is proposed

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  • Temperature reconstruction method applied to flame light field refocusing imaging
  • Temperature reconstruction method applied to flame light field refocusing imaging
  • Temperature reconstruction method applied to flame light field refocusing imaging

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specific Embodiment approach 1

[0028] Specific implementation mode one: combine figure 1 To illustrate this embodiment, the specific process of a temperature reconstruction method applied to flame light field refocusing imaging in this embodiment is as follows:

[0029] Step 1: Take pictures of flames with a light field camera and record its light field imaging;

[0030] Step 2: Multi-pixel extraction of the light field imaging to obtain the sub-aperture image, and obtain the light field refocusing image of the flame according to the sub-aperture image;

[0031] Step 3: Using wavelet threshold transform to denoise the light field refocused image to obtain a denoised image;

[0032] Step 4: Using the Lucy-Richardson deconvolution method to restore the noise-reduced image to obtain the restored noise-reduced image;

[0033] Step 5: Obtain the temperature of the reconstructed flame according to the corresponding relationship between the gray scale of the restored noise-reduced image and the black-body radia...

specific Embodiment approach 2

[0034] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in the first step, the flame is photographed by a light field camera and its light field imaging is recorded; the specific process is:

[0035] According to the known flame temperature and radiation physical conditions, the three-dimensional flame and layered flame are simulated and generated, and the flame is photographed by the light field camera and its light field imaging is recorded;

[0036] Such as figure 2 As shown, the light field camera is composed of a main lens, a microlens array and a CCD imaging screen, wherein the microlens array is composed of a large number of tiny lenses arranged between the main lens and the CCD imaging screen. A certain light emitted by the flame passes through the main lens of the light field camera and forms an image on the imaging surface of the virtual main lens. Traditional cameras generally set an imaging screen on the imaging surface. But the light...

specific Embodiment approach 3

[0041] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that in the step 2, the multi-pixel extraction of the light field imaging is performed to obtain a sub-aperture image, and the light field refocusing image of the flame is obtained according to the sub-aperture image;

[0042] The multi-pixel extraction method is defined as sacrificing the angular resolution of the light field camera, that is, extracting more than one pixel from the CCD pixels covered under each microlens to obtain sub-aperture imaging, and then refocusing at this time to obtain higher resolution. The spatial resolution of , called multi-pixel extraction method.

[0043] The specific process is:

[0044] Such as figure 2 As shown, according to the microlens arrangement order, sm*sn pixels are extracted under the CCD imaging area m*n covered by each microlens of the light field camera, and the number of microlenses of the light field camera is M*N, so each sub The number of ...

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Abstract

The invention relates to a temperature reconstruction method applied to flame light field re-focusing imaging. The invention aims to solve problems that the precision of temperature reconstruction islow because the precision of the existing refocusing image is restricted by the space resolution and that the precision of temperature distribution at a corresponding position inside the flame is lowbecause obviously insufficient blocking of the existing refocusing image. The process is that a light field camera shoots the flame and records the light field imaging; multi-pixel extraction is performed on the light field imaging to obtain a sub-aperture image, a light field refocusing image of the flame is obtained according to the sub-aperture image; nose reduction is performed on the light field refocusing image by applying wavelet threshold transform to obtain a noise reduced image; the noire reduced image is restored by applying a Lucy-Richardson deconvolution method to obtain a restored noise reduced image; and the temperature of the reconstructed flame is obtained. The temperature reconstruction method is applied to the technical field of flame imaging simulation in the process ofhigh-temperature flame temperature reconstruction.

Description

technical field [0001] The invention relates to a flame imaging simulation technology in the temperature reconstruction process of a high-temperature flame, in particular to a temperature reconstruction method applied to refocusing imaging of a flame light field. Background technique [0002] The power generation and heating industry is undergoing major economic and environmental changes. Although the share of renewable energy will continue to grow, fossil fuels will remain the main source of energy for generations to come and for many countries. The flame temperature field distribution is an important criterion for judging the fuel combustion state, so the accurate detection of the internal temperature of the flame is an urgent problem to be solved. [0003] At present, the reconstruction methods of flame physical parameters can be divided into two categories, namely contact methods and non-contact methods. Compared with the contact detection method, the radiation spectru...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T2207/20064G06T5/00G06T5/70
Inventor 李天骄袁远刘彬谈和平帅永
Owner HARBIN INST OF TECH
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