Automatic grain boundary extraction method for steel grain

An extraction method and a technology of grains, which are applied in the field of automatic grain boundary extraction of steel grains, can solve problems such as image brightness sensitivity and noise sensitivity, and achieve the effect of simple algorithm, fast algorithm operation speed, and reduction of false feature points

Inactive Publication Date: 2016-10-12
JIANGSU UNIV
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Problems solved by technology

These methods are sensitive to noise, sensitive to image brightness and other shortcomings

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  • Automatic grain boundary extraction method for steel grain
  • Automatic grain boundary extraction method for steel grain
  • Automatic grain boundary extraction method for steel grain

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Embodiment Construction

[0057] In order to deepen the understanding of the present invention, the method and extraction process of the improved automatic grain boundary extraction of steel grains in the present invention will be further described below in conjunction with the accompanying drawings.

[0058] The present invention is applied to the field of metallographic quantitative intelligent analysis of the microscopic grain structure of iron and steel materials, such as figure 1 Shown is a schematic diagram of the hardware system for the automatic grain boundary extraction of the present invention. The hardware system consists of a steel sample 1, a professional metallographic microscope 2, a camera 3, a computer 4 and a display 5.

[0059] The automatic grain boundary extraction method proposed by the present invention includes the step of collecting metallographic images and the step of extracting grain boundaries from the collected metallographic images, and the specific implementation include...

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Abstract

The invention discloses an automatic grain boundary extraction method for a steel grain. The method comprises the steps that 1 grain image preprocessing, wherein gray scale conversion, median filter denoising and binarization processing are carried out; 2 grain feature point extraction and feature distance calculation are carried out, wherein distance transforming, scale space generating, Gaussian difference scale space constructing, scale space feature point seeking and feature distance calculating are carried out; and 3 automatic grain boundary extraction is carried out, wherein initial contour drawing, grain boundary level set evolution extracting and final grain boundary determining are carried out. The results are as follows: (1) the distance between the two layers is calculated; Grain boundaries. A sift algorithm is used to acquire an image feature point after distance transformation and calculate the corresponding feature distance, and the initial contour is constructed to improve the evolution efficiency and precision of a level set algorithm. The requirements of high precision grain boundary extraction and grain measurement are effectively met. The defects of low precision and poor effect of grain boundary extraction and grain measurement in the prior art are overcome. The method is easy to understand and has the advantages of high applicability and high accuracy.

Description

technical field [0001] The invention relates to the field of metallographic quantitative intelligent analysis of microscopic grain structures of iron and steel materials, in particular to an automatic grain boundary extraction method for steel grains. Background technique [0002] With the rapid development of iron and steel material technology, the research and development of various steel materials has gradually been established on the basis of composition, metallographic structure and quantitative relationship of properties, which means that the steel can be controlled through preparation and various follow-up processes. microstructure to obtain the desired properties. Metallographic quantitative intelligent analysis is an important method to study the relationship between metal material composition, metallographic structure, preparation process and performance quantification. Through quantitative analysis of various steel metallographic structures, construct a Quantitat...

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Application Information

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IPC IPC(8): G06T7/00G01N15/02G01N15/00
CPCG01N15/00G01N15/0227G06T2207/20032G06T2207/20182
Inventor 许桢英赵稼宸邹荣王匀张琦朱建栋
Owner JIANGSU UNIV
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