Target detection method for rapidly identifying aluminum combustion particles in holographic image

A holographic image and target detection technology, applied in the field of digital holography and deep learning, can solve the problems of large size, low speed, high speed, etc., and achieve the effect of small feature difference, low feature and high speed.

Pending Publication Date: 2022-08-05
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] In addition, the recognition targets of the traditional target recognition method have the characteristics of obvious differences in categories and characteristics, large size (meter level), and low speed (meter / second to ten meter / second level); but the aluminum particles in the holographic image have little difference. , small size, micron level, fast speed (100 m / s ~ km / s level), etc., so it is necessary to combine these characteristics to establish an independent identification method for aluminum burning particles in holographic images

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  • Target detection method for rapidly identifying aluminum combustion particles in holographic image
  • Target detection method for rapidly identifying aluminum combustion particles in holographic image
  • Target detection method for rapidly identifying aluminum combustion particles in holographic image

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[0039] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] The present invention is a target detection method for quickly identifying aluminum combustion particles in holographic images, such as figure 1 As shown, the detection method includes:

[0041] Step 1. Establish a data set suitable for holographic image recognition of aluminum burning particles:

[0042] Select the discontinuous original holographic images during the combustion process of propellant aluminum, obtain clear holographic images through image reconstruction and fusion, and use the clear holographic images as the data set;

[0043] Image reconstruction and fusion of digital holographic results of aluminum combustion particles of aluminum composite propellant to obtain clear holographic images of aluminum particles, such as figure 2 As shown in the figure, the background of the image is complex, the aluminum particles in co...

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Abstract

The invention discloses a target detection method for quickly identifying aluminum combustion particles in a holographic image. The target detection method comprises the following steps: step 1, establishing a data set suitable for identifying the holographic image of the aluminum combustion particles; step 2, marking images of the training set and the verification set of the selected aluminum combustion particle holographic image; 3, selecting an aluminum combustion holographic image particle identification model and designing parameters; step 4, aluminum combustion hologram particle rapid identification; 5, obtaining the center position of the aluminum combustion particles; 6, extracting the particle size of the aluminum combustion particles; and utilizing a YOLOv 3 model to realize rapid identification of the micron-sized aluminum combustion particles in the holographic image, and obtaining particle information of the aluminum particles.

Description

technical field [0001] The invention belongs to the technical field of digital holography and deep learning, and in particular relates to a target detection method for quickly identifying aluminum combustion particles in a holographic image. Background technique [0002] Aluminum powder is one of the basic components of solid propellants, which can improve the internal ballistic performance of rocket engines, such as increasing the density, combustion temperature and specific impulse of the propellant, and can also suppress high-frequency unstable combustion. Therefore, the research on the combustion of aluminum particles is of great significance for revealing the mechanism of aluminum combustion in propellants. The traditional aluminum particle combustion measurement method has a small depth of field and cannot obtain the dynamic information of the particles in the combustion field, and the particle information is obtained by manual processing. [0003] In order to obtain ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/62G06T7/73
CPCG06T7/0004G06T7/10G06T7/62G06T7/75G06T2207/20081G06T2207/20152G06T2207/30204Y02P90/30
Inventor 金秉宁袁江刘佩进徐庚徐宏博杨思穎雷笑语丁雅欣
Owner NORTHWESTERN POLYTECHNICAL UNIV
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