Thermal protection function gradient material component identification method and system based on image processing

A functionally gradient material, image processing technology, applied in image data processing, image analysis, image enhancement and other directions, can solve the task of high computational cost, difficult to automatically segment images to obtain satisfactory results, and inconvenient to segment a small number of images and other problems, to achieve the effect of good universality, convenience and high recognition efficiency

Pending Publication Date: 2022-03-01
CHINA ACAD OF LAUNCH VEHICLE TECH
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Problems solved by technology

However, the automatic segmentation method requires a large amount of image data for training when constructing the neural network, and the computational cost is high
At the same time, the current computer artificial intelligence is far from reaching the level of understanding high-level semantics, and it is difficult to obtain satisfactory results for automatic image segmentation, which makes them inconvenient for the task of segmenting a small number of images

Method used

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  • Thermal protection function gradient material component identification method and system based on image processing
  • Thermal protection function gradient material component identification method and system based on image processing
  • Thermal protection function gradient material component identification method and system based on image processing

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments disclosed in the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0046]One of the core ideas of the present invention is: based on the principle of image segmentation, starting from the microscopic image of the functionally graded material, the microscopic characteristics of each component are obtained through an interactive image segmentation method, and then different components are identified to realize the segmentation of each component. Its purpose is to identify the phase components in the microscopic image of functionally graded materials through image segmentation, and then characterize the content and spatial distribution of phase components. In addition, the present invention utilizes the convenience of the interactive method to present the interesting image features artificially marked in ...

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Abstract

The invention discloses a thermal protection functionally graded material component identification method and system based on image processing. The method comprises the following steps: acquiring an original microscopic image I of a thermal protection functionally graded material; according to the method, an original microscopic image I of the thermal protection functionally graded material is preprocessed, a preprocessed image is obtained, and on the basis of the preprocessed image, component identification and segmentation of the thermal protection functionally graded material are achieved through an interactive image segmentation method. The method is suitable for identifying the microstructure components of most thermal protection functionally graded materials, and meanwhile, the identification precision and efficiency can be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of microscopic images of functionally graded materials, and in particular relates to a method and system for identifying components of functionally graded materials for thermal protection based on image processing. Background technique [0002] The performance of functionally graded materials strongly depends on the microstructure of materials, and its microstructure is one of the basic research contents in functionally graded materials science and engineering. Microscopic images are usually used to analyze the microstructure related to certain characteristics of materials. For example, the microstructure of materials can be observed through scanning electron microscopy, including phase composition, distribution and distribution of grain boundary characteristics. Therefore, a critical step in the material structure design process is to efficiently extract useful information and data from images using algorit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/66G06V10/44G06V10/762G06V10/772G06V10/764G06K9/62
CPCG06T7/0004G06T7/66G06T2207/10056G06T2207/20081G06T2207/30108G06F18/28G06F18/23213G06F18/24
Inventor 辛健强屈强刘久周吴勇军董永朋刘鑫彭锦龙许小静王静王露萌王润尹琰鑫张青青刘晋李秀涛张剑何朔李克勤刘海光张文丽
Owner CHINA ACAD OF LAUNCH VEHICLE TECH
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