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Three-dimensional temperature reconstruction combination method based on flame light field refocus image

A three-dimensional temperature and refocusing technology, applied in the field of flame image processing, can solve the problems of low physical property reconstruction accuracy and low accuracy, and achieve the effects of high-precision reconstruction, improved accuracy, and improved accuracy

Active Publication Date: 2019-01-01
HARBIN INST OF TECH
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  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the existing nearest neighbor method has low accuracy in reconstructing the physical properties of the outermost and sub-outer flames, and the Lucy-Richardson deconvolution method has low precision when applied to the reconstruction of the flame physical properties in the middle layer. A joint method for 3D temperature reconstruction based on flame light field refocusing images is proposed

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  • Three-dimensional temperature reconstruction combination method based on flame light field refocus image
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  • Three-dimensional temperature reconstruction combination method based on flame light field refocus image

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specific Embodiment approach 1

[0029] Specific implementation mode one: combine figure 1 To illustrate this embodiment, the specific process of a joint method for three-dimensional temperature reconstruction based on flame light field refocusing images in this embodiment is as follows:

[0030] Step 1: Take a photo of the flame with a light field camera and record the three-dimensional light field imaging of the flame;

[0031] Step 2: Multi-pixel extraction of the three-dimensional light field imaging of the flame to obtain a sub-aperture image, and obtain a light field refocusing image of the flame according to the sub-aperture image;

[0032] Step 3: Place a flat whiteboard at the same position as the flame layer, obtain the light field refocusing image of the flat whiteboard, and then calibrate the point spread function of the light field camera;

[0033] Step 4: Process the light field refocusing image of the flame with a deconvolution algorithm to obtain a tomographic image of the flame;

[0034] T...

specific Embodiment approach 2

[0036] 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 the three-dimensional light field imaging of the flame is recorded;

[0037] 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;

[0038] Such as figure 2 As shown, the flame position is adjusted at a distance d from the main lens of the light field camera. The light field camera is composed of a main lens, a microlens array and an imaging screen, wherein the microlens array is composed of a large number of tiny lenses arranged between the main lens and the 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 len...

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 2As shown, according to the microlens arrangement order, sp×sq pixels are extracted under the imaging area p×q of the imaging screen covered by each microlens of the light field camera, and the number of microlenses of the light field camera is A×B, so each T...

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Abstract

A three-dimensional temperature reconstruction combination method based on a flame light field refocus image is disclosed. The invention relates to the three-dimensional temperature reconstruction combination method based on the flame light field refocusing image. By using an existing nearest neighbor method, the physical reconstruction precision of the outermost layer and secondary outer layer offlames is low, and when a Lucy-Richardson deconvolution method is used in intermediate layer flame physical reconstruction, the precision is low. In the invention, the above problems are solved. Themethod has the following steps of 1, using a light field camera to shoot the flame and record the three-dimensional light field image of the flame; 2, acquiring the light field refocusing image of theflame; 3, acquiring the point spread function of the light field camera; 4, acquiring a flame chromatography image; and 5, acquiring a fitting relationship between a black body plane surface radiation force and a gray scale, and reconstructing the radiation force for the gray scale of the flame chromatography image based on the fitting relationship, and according to the radiation force, acquiringa three-dimensional flame temperature. The method is used for the flame image processing field during a high temperature flame temperature reconstruction process.

Description

technical field [0001] The invention relates to a flame image processing technology in the high-temperature flame temperature reconstruction process, in particular to a three-dimensional temperature reconstruction joint method based on flame light field refocusing images. 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 distribution of the flame temperature field is an important criterion for judging the combustion state of the fuel, 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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/50G01J5/52G01J5/00G01J5/08
CPCG01J5/0018G01J5/0806G01J5/52G01J2005/0077G01J5/03
Inventor 李天骄袁远刘彬谈和平帅永
Owner HARBIN INST OF TECH
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