Marked watershed segmentation-based steel grain boundary automatic extraction method

A technology for marking watersheds and grain boundaries, applied in instruments, character and pattern recognition, computer components, etc., can solve problems such as over-segmentation, and achieve the effect of improving work efficiency and excellent universality

Inactive Publication Date: 2017-04-26
JIANGSU UNIV
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Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the present invention provides a method for automatic extraction of grain boundaries of steel grains based on marked watershed segmentation, which solves the problem of over-segmentation by segmenting the preprocessed metallographic image through the marked watershed segmentation algorithm , and finally, use the canny operator to extract the grain boundaries

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  • Marked watershed segmentation-based steel grain boundary automatic extraction method
  • Marked watershed segmentation-based steel grain boundary automatic extraction method
  • Marked watershed segmentation-based steel grain boundary automatic extraction method

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[0055] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0056] The method for automatically extracting grain boundaries proposed by the present invention includes the steps of collecting metallographic images and the step of extracting grain boundaries from the collected metallographic images, and the specific implementation includes the following steps:

[0057] Such as figure 1 As shown, a steel grain boundary automatic extraction method based on marked watershed segmentation, including the following steps:

[0058] S1: read in the steel grain image;

[0059] S2: Preprocessing the grain image, the image preprocessing includes:

[0060] S2.1: Grayscale conversion, that is, converting the steel grain image into a grayscale image using the grayscale conversion formula;

[0061] S2.2: Bilateral filter denoising, that is, redu...

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Abstract

The present invention provides a marked watershed segmentation-based steel grain boundary automatic extraction method. The method mainly comprises the steps of 1, subjecting a metallographic image to pre-treatment, including gradation conversion, bilateral filtering and noise reduction; 2, segmenting the pre-treated image based on the marked watershed segmentation algorithm, including the operations of obtaining a gradient magnitude image, marking foreground objects, marking background objects, correcting the gradient magnitude image, and conducting the watershed segmentation; 3, conducting the automatic extraction of a grain boundary mainly by using a canny operator. According to the technical scheme of the invention, the marked watershed segmentation algorithm is applied to the steel crystalline grain separation process, so that the over-segmentation phenomenon generated by the conventional watershed segmentation algorithm is greatly improved. The extraction accuracy of a high-precision crystalline boundary is effectively improved. The defect in the prior art that the conventional crystalline boundary is poor in effect can be overcome. Meanwhile, the method is wide in application range, high in accuracy and fast in operation speed.

Description

technical field [0001] The invention relates to the field of metallographic quantitative intelligent analysis of the microscopic grain structure of iron and steel materials, in particular to an automatic extraction method of steel grain grain boundaries based on marked watershed segmentation. Background technique [0002] With the development of science and technology, steel materials have been more and more used in our lives. Today, the focus of research and development on various steel materials is mainly on the composition, metallographic structure and quantitative relationship of performance. Metallographic quantitative intelligent analysis is an important method to study the relationship between metal material composition, metallographic structure, preparation process and performance quantification. Traditional metallographic analysis is greatly affected by human factors, with low work efficiency and poor accuracy of analysis results. . [0003] Since the beginning of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/46
CPCG06V20/695G06V10/30G06V10/44
Inventor 许桢英朱建栋张琦洪红
Owner JIANGSU UNIV
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