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Crack characteristic characterization method and system based on multi-fractal spectrum

A multi-fractal spectrum and crack technology, applied in the field of materials, can solve the problems of insufficient feature characterization accuracy, inability to quantitatively describe complex crack details, and low crack image recognition accuracy, and achieve the effect of overcoming low recognition accuracy.

Active Publication Date: 2021-08-06
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the defects of low crack image recognition accuracy, insufficient feature characterization accuracy and inability to quantify and describe the complex crack details contained in the crack feature characterization method in the prior art.

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  • Crack characteristic characterization method and system based on multi-fractal spectrum
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  • Crack characteristic characterization method and system based on multi-fractal spectrum

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Embodiment 1

[0058] A crack feature characterization method based on multifractal spectrum disclosed in Embodiment 1 of the present invention will be described in detail below.

[0059] see Figure 1 to Figure 6 As shown, this embodiment provides a multifractal spectrum-based crack feature characterization method, which specifically includes the following steps.

[0060] S100: Acquire a crack image, perform preprocessing on the crack image, and obtain a preprocessed crack image.

[0061] As an example, the obtained crack image is as figure 2 As shown, the local images of the crack image are divided into two categories, the first category is the partial images of interlaced cracks, and the second category is the partial images of non-interlaced cracks; the first category of partial images is grayscaled, and the input Value filter for filtering, used to remove part of the noise, and then image "corrosion", and through the threshold of 220 / 255 for binarization; the second type of partial i...

Embodiment 2

[0084] A crack feature characterization system based on multifractal spectrum disclosed in Embodiment 2 of the present invention is introduced below. A crack feature characterization system based on multifractal spectrum described below is the same as a crack feature based on multifractal spectrum described above. Characterization methods can be referred to each other.

[0085] Embodiment 2 of the present invention discloses a crack feature characterization system based on multi-fractal spectrum, which specifically includes the following modules.

[0086] An acquisition module 10, the acquisition module 10 is configured to acquire a crack image, perform preprocessing on the crack image, and obtain a preprocessed crack image.

[0087] Image segmentation module 20, the image segmentation module 20 is used to segment the preprocessed crack image to obtain sub-images.

[0088] The multifractal spectrum construction module 30, the multifractal spectrum construction module 30 is us...

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Abstract

The invention relates to a crack characteristic characterization method and system based on a multi-fractal spectrum, and the method comprises the steps: obtaining a crack image, carrying out the preprocessing of the crack image, and obtaining a preprocessed crack image; segmenting the preprocessed crack image to obtain sub-images; constructing a multi-fractal spectrum of the sub-images, and establishing a multi-fractal spectrum after the sub-images are combined according to a singularity index of the multi-fractal spectrum, the multi-fractal singular spectrum and a preset weight factor; enabling the combined multi-fractal spectrum to be subjected to visualization processing, and generating a chromaticity diagram with the numerical value relation represented by colors; and characterizing fractal characteristics of crack propagation according to a chromaticity diagram. According to the method, complex crack details contained in the image can be quantitatively described, and the problems that in the prior art, a crack feature characterization method is low in crack image recognition accuracy and insufficient in feature characterization accuracy, and complex crack details contained in the image cannot be quantitatively described are solved.

Description

technical field [0001] The present invention relates to the field of material technology, in particular to a crack feature characterization method and system based on multifractal spectrum. Background technique [0002] The existence and propagation of cracks are the main reasons for the fracture of brittle materials. Therefore, to study the influence of microcrack growth on the properties of brittle materials and to explore ways to inhibit the growth of microcracks are the key issues that need to be solved urgently to improve their performance. In the traditional technology, the method of counting crack morphology features is mainly based on manual measurement, and its disadvantages are that it requires a lot of manpower and high time cost; and in the face of complex crack images, it is difficult for manual statistics to have a comparative analysis of features such as complexity. Objective evaluation, and it is difficult to extract information accurately and reasonably for...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T7/90G06T5/00G06T5/30
CPCG06T7/0002G06T7/10G06T7/90G06T5/30G06T2207/20021G06T2207/20032G06T5/70
Inventor 郭浩谢尚建邵长旭齐菲石一凡陈靖宇许承海陈涛王永光王善翔
Owner SUZHOU UNIV