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Metallographical microstructural image processing method

A microstructure and image processing technology, applied in the field of physical and chemical detection, can solve the problems of low processing efficiency and analysis accuracy, inability to automatically identify image interference items, and inability to automatically eliminate image interference, so as to improve processing efficiency and analysis accuracy , Improve the effect of analysis accuracy

Active Publication Date: 2012-01-18
AECC AVIATION POWER CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this manual processing method is that the processing efficiency and analysis accuracy are not high
In addition, there is also a method of using digital image processing software to process metallographic microstructure images. The disadvantages are: the existing digital image processing software cannot automatically identify the interference items in the image in practical applications, and cannot automatically eliminate image interference. low precision

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] The following data are obtained by analyzing a group of metallographic microscopic grain pictures:

[0037] Method of use Analysis time Analysis result error;

[0038] Manual analysis method 2 hours is about 20%;

[0039] Existing software analysis method 30 minutes is about 10%;

[0040] The method of the present invention is about 5% in 10 minutes.

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Abstract

The invention belongs to a physicochemical detection technology and relates to an improved metallographical microstructural image processing method. The processing method comprises the following steps of: collecting metallographical images by using an electron microscopy, setting the image modes of the metallographical images; carrying out image filtering on the images converted into an HIS (Hue,Lightness and Saturation) mode; carrying out Hotelling conversion on the filtered images; processing the images by using an artificial neural network clustering algorithm; extracting image characteristics; and calculating the quantity of pixel points in all extracted grain elements to obtain the area percentage of grains. By the invention, the processing efficiency and the analysis accuracy are greatly improved.

Description

technical field [0001] The invention belongs to physical and chemical detection technology, and relates to the improvement of the metallographic microstructure image processing method. Background technique [0002] At present, the metallographic electron microscope adopts the traditional digital image analysis method, which relies on the experience of the experimenters to analyze the metallographic image. The specific analysis method is: print out dozens of copies of the same metallographic micrograph and weigh them, and then cut out the grains in it. Weigh again, and finally calculate the area percentage of the crystal grains by calculating the weight of the crystal grains as a percentage of the total weight. The disadvantage of this manual processing method is that the processing efficiency and analysis accuracy are not high. In addition, there is also a method of using digital image processing software to process metallographic microstructure images. The disadvantages ar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/02G06T5/00
Inventor 刘雄飞孙智君侯春梅张爽董晓峰郭子静陆琪
Owner AECC AVIATION POWER CO LTD