Self-adaptive sliding method of displacement field of digital image relevant method based on kernel function

A digital image and kernel function technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as manual adjustment of algorithms, hindering practical applications, etc.

Active Publication Date: 2015-06-10
NANJING DASHU INTELLIGENT SCI & TECH CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the drawback of these methods is the need to manually adjust the parameters of the algorithm
In the actual measurement process, its practical application is hindered by the lack of sufficient prior knowledge to guide the parameter adjustment

Method used

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  • Self-adaptive sliding method of displacement field of digital image relevant method based on kernel function
  • Self-adaptive sliding method of displacement field of digital image relevant method based on kernel function
  • Self-adaptive sliding method of displacement field of digital image relevant method based on kernel function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0151] The displacement field adaptive smoothing method of digital image correlation method based on kernel function includes the following steps: 1) Collect the images before and after the deformation of the object, the image before the deformation is the reference image, and the image after the deformation is the target image;

[0152] 2), select the region of interest S on the reference image 1 , Area of ​​interest S 1 Is the reference image sub-region; obtained by the following steps: divide the first grid on the reference image, the number of the first grid is M rows×N columns, and the length and width of the reference image The distances between the two are l and w, and the interest area S with the i-th first grid as the center is established on the reference image 1 , Area of ​​interest S 1 It is a reference image sub-region, and the length and width of the reference image sub-region are L and W respectively, where a=1, 2, 3..., M×N. It is simple and convenient to select th...

Embodiment 2

[0252] Example 2: Non-uniform deformation

[0253] The actual deformation is often non-uniform. In order to evaluate the effect under non-uniform deformation conditions, the sine function u(x,y)=Asin(2πx / p) is selected to describe the deformation of the structure, where the amplitude A is 0.1 and the period parameter p is 200, and the rest of the deformation parameters are the same as in Example 1. The calculation result is as Figure 14 with Figure 15 As shown, the left side is the strain field calculated by the difference of the displacement field data output by the traditional DIC, and the right side is the strain field data calculated by the smooth DIC. It can be seen that the strain field calculated by the traditional DIC method is relatively rough and is more seriously affected by the noise of the displacement field. After smoothing the displacement field with the method in this paper, the strain field data obtained is smooth and closer to the theoretical value. The RMS ...

Embodiment 3

[0256] Example 3: Hole experiment:

[0257] See Figure 16 , 17 As shown in and 18, in order to further verify the practicability of this method, the actual deformation of the specimen will be processed here. The experimental specimen is a specimen with holes, the schematic diagram is as Figure 18 As shown, the specimen number is BD1W2L3, where B represents steel, D=1 is the hole diameter, W=2 is the horizontal hole interval, and L=3 is the longitudinal hole interval. The total length of the specimen is 200mm and the width is 20mm. During the test, an industrial AVT camera, model F-125B / C, was used to collect images before and after deformation.

[0258] The strain contours of traditional DIC and smooth DIC output are in Figure 19 , 20 , 21 and 22. By comparison, it can be seen that the overall law of the calculation results of the two methods is consistent, that is, the locations of stress concentration coincide. However, the results of the traditional DIC calculation are dist...

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Abstract

The invention discloses a self-adaptive sliding method of a displacement field of a digital image relevant method based on a kernel function. The method comprises the steps of adopting a relevant function p<*> based on the kernel function: FORMULA, and using the self-adaptive sliding method to process a displacement obtained by the digital image relevant method based on the kernel function. According to the self-adaptive sliding method of the displacement field of the digital image relevant method based on the kernel function provided by the invention, a new relevant function p<*> based on the kernel function can be defined; furthermore, with view to the influence on the image noise, the method has better measurement precision in comparison to a traditional method; moreover, the self-adaptive sliding method is used for punishing the roughness of the surface of a noise displacement field based on a least square regression punishing technology, so as to realize an aim of effectively eliminating the noise in the displacement field.

Description

Technical field [0001] The invention belongs to the field of digital image processing, and specifically relates to a displacement field adaptive smoothing method based on a kernel function-based digital image correlation method. Background technique [0002] Digital image correlation, first proposed by Sutton et al., is a kind of natural texture or artificial speckle field randomly distributed on the surface of the object as the carrier of deformation information, and the full field displacement and displacement of the structure surface under external load are obtained through machine vision technology. Optical measurement method of strain information. Due to the many advantages of DIC, such as simple measurement process, high accuracy of measurement results, non-contact, access to full-field data, etc., it has been widely used in the field of experimental mechanics in recent years. [0003] As an effective optical measurement method, DIC technology has achieved rapid development ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张乐年肖荣沈峘王汉全王李苏
Owner NANJING DASHU INTELLIGENT SCI & TECH CO LTD
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