CN108931574A - A kind of structural noise digital filtering method of Ultrasonic NDT data - Google Patents
A kind of structural noise digital filtering method of Ultrasonic NDT data Download PDFInfo
- Publication number
- CN108931574A CN108931574A CN201810567564.1A CN201810567564A CN108931574A CN 108931574 A CN108931574 A CN 108931574A CN 201810567564 A CN201810567564 A CN 201810567564A CN 108931574 A CN108931574 A CN 108931574A
- Authority
- CN
- China
- Prior art keywords
- ultrasonic
- data
- noise
- digital filter
- sampling location
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/043—Analysing solids in the interior, e.g. by shear waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4472—Mathematical theories or simulation
Abstract
The invention discloses a kind of structural noise digital filtering methods of Ultrasonic NDT data, include the following steps:S1. ultrasonic non destructive detection equipment each sampling location along scanning path carries out Data Detection, obtains the corresponding A total number evidence in each sampling location, and form original two dimensional array;S2. it is shown using original two dimensional array as image, structured noise has apparent geometrical characteristic at this time, constructs digital filter according to the geometrical characteristic of structured noise;S3. two-dimentional initial data is filtered using the digital filter of building, realizes the two-dimensional discrete convolution operation of original two dimensional array;S4. to the data after digital filter process, the processing of wave amplitude threshold binarization function is carried out;S5. it is rejected to some discrete, in the ambient noise signal of scatterplot shape.The present invention is targetedly filtered out, and do not influence signal corresponding to real defect for structured noise present in ultrasonic pulse, echo data, improves the accuracy of Ultrasonic NDT.
Description
Technical field
The present invention relates to Ultrasonic NDTs, filter more particularly to a kind of structural noise number of Ultrasonic NDT data
Wave method.
Background technique
In ultrasonic pulse-echo detecting material internal defect technology, the judgement to defect is based on echo amplitude size.
When echo amplitude is more than given threshold value, then it is assumed that the signaling point is in structure physical locations existing defects;Pulse-echo letter
Number is the cumulative effect to each point on ultrasonic wave propagation path, as shown in Figure 1, the signal of A point position, actually sensor
The sampled signal when ultrasonic wave of excitation travels to A point and returns to sensor, therefore, wherein also containing the micro- of material internal
See the influence of institutional framework (such as crystallite dimension, local anisotropy) to ultrasonic wave.In addition, structure is during the preparation process (as cast
Make, forge, be surface-treated) generate structured material it is discontinuous, also result in the influence of ultrasonic signal.
These influence to be directly related to defect and determine and finally quantitatively, bring the accuracy of Ultrasonic NDT
Adverse effect, it has to be possible to determine whether given signal is noise, and further reject its influence, just can accurately be examined
Survey result.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of structural noises of Ultrasonic NDT data
Digital filtering method is targetedly filtered out for structured noise present in ultrasonic pulse, echo data, and not
Signal corresponding to real defect is influenced, the accuracy of Ultrasonic NDT is improved.
The purpose of the present invention is achieved through the following technical solutions:A kind of structural noise of Ultrasonic NDT data
Digital filtering method includes the following steps:
S1. ultrasonic non destructive detection equipment each sampling location along scanning path carries out Data Detection, obtains each sampling
The corresponding A total number evidence in position, and form original two dimensional array;
S2. it is shown using original two dimensional array as image, structured noise has apparent geometrical characteristic at this time, according to knot
The geometrical characteristic of structure noise constructs digital filter;
S3. two-dimentional initial data is filtered using the digital filter of building, which is equivalent to filter using number
The array of wave device does two-dimensional discrete convolution operation to original two dimensional array;
S4. to the data after digital filter process, the processing of wave amplitude threshold binarization function is carried out;
S5. it is rejected to some discrete, in the ambient noise signal of scatterplot shape.
Further, the step S1 includes:
In first sampling location in scanning path, ultrasonic non destructive detection equipment is by probe transmitting and receives ultrasonic wave,
One-dimensional time signal is obtained and recorded, the A total number evidence of the sampling location is denoted as;
Probe is moved to next sampling location along scanning path and carries out ultrasonic transmission/reception, obtains the A total number of the position
According to;
In turn, ultrasonic non destructive detection equipment obtains the corresponding A total number evidence in each sampling location on scanning path, and will
Each A total number forms original two dimensional array according to stacking.
Further, the step S4 includes:
Give a preset percentage threshold α, for digital filter treated image data, whole pixels according to
Formula two-valued function is operated:
Wherein I (x) is the pixel amplitude of x index, ImaxIt is global maximum amplitude, J (x) is the result of x index.
Further, the step S5 includes:
From wave amplitude threshold binarization function treated data, determine that there are the scatterplot regions of ambient noise signal;
A preset area pixel threshold β is given, to the scatterplot region of each connection, if the scatterplot region institute of connection
Sum of all pixels is accounted for less than β, then rejects the connection region, otherwise retains.
The beneficial effects of the invention are as follows:The present invention is carried out for structured noise present in ultrasonic pulse, echo data
It targetedly filters out, and does not influence signal corresponding to real defect, improve the accuracy of Ultrasonic NDT.
Detailed description of the invention
Fig. 1 is the pulse echo detection schematic diagram of Ultrasonic NDT;
Fig. 2 is flow chart of the method for the present invention;
Fig. 3 is the two dimensionization array and structured noise schematic diagram of ultrasound detection in embodiment;
Fig. 4 is structured noise digital filter schematic diagram in embodiment;
Fig. 5 is the original image result in embodiment after application structure noisy digit filter;
Fig. 6 is in embodiment using the processing result after wave amplitude threshold binarization function;
Fig. 7 is Ultrasonic NDT result schematic diagram final in embodiment.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, but protection scope of the present invention is not limited to
It is as described below.
As shown in Fig. 2, a kind of structural noise digital filtering method of Ultrasonic NDT data, includes the following steps:
S1. ultrasonic non destructive detection equipment each sampling location along scanning path carries out Data Detection, obtains each sampling
The corresponding A total number evidence in position, and form original two dimensional array;
Specifically, the step S1 includes:
In first sampling location in scanning path, ultrasonic non destructive detection equipment is by probe transmitting and receives ultrasonic wave,
One-dimensional time signal is obtained and recorded, the A total number evidence of the sampling location is denoted as;
Probe is moved to next sampling location along scanning path and carries out ultrasonic transmission/reception, obtains the A total number of the position
According to;
In turn, ultrasonic non destructive detection equipment obtains the corresponding A total number evidence in each sampling location on scanning path, and will
Each A total number forms original two dimensional array according to stacking.
S2. it is shown using original two dimensional array as image, structured noise has apparent geometrical characteristic at this time, in this Shen
In embodiment please, two dimensionization array and structured noise are as shown in figure 3, the light striped band of vertical direction is that structuring is made an uproar
Sound;Digital filter is constructed according to the geometrical characteristic of structured noise, which needs to have this noise like significantly
Inhibiting effect, in embodiments herein, the digital filter of building is as shown in Figure 4.
S3. two-dimentional initial data is filtered using the digital filter of building, which is equivalent to filter using number
The array of wave device does two-dimensional discrete convolution operation to original two dimensional array, obtains filter result as shown in Figure 5;
S4. to the data after digital filter process, the processing of wave amplitude threshold binarization function is carried out:Given one preset
Percentage threshold α, for digital filter treated image data, whole pixels are operated according to formula two-valued function:
Wherein I (x) is the pixel amplitude of x index, ImaxIt is global maximum amplitude, J (x) is the result of x index;When default
It is as shown in Figure 6 using the processing result after wave amplitude threshold binarization function when percentage threshold is α=5%.
As seen from Figure 6, the right side and left side of image still can see some discrete, believe in the ambient noise of scatterplot shape
Number, it needs to realize these background noise datas discrete, in scatterplot shape to the processing of these region application region area threshold functions
It rejects.
S5. it is rejected to some discrete, in the ambient noise signal of scatterplot shape:From the processing of wave amplitude threshold binarization function
In data afterwards, determine that there are the scatterplot regions of ambient noise signal;
A preset area pixel threshold β is given, to the scatterplot region of each connection, if the scatterplot region institute of connection
Sum of all pixels is accounted for less than β, then rejects the connection region, otherwise retains.
By taking preset area threshold value beta=50 as an example, region area threshold function table treated result is carried out as shown in fig. 7, white
It is defect shown in color highlight box.Other are discrete, have been removed after application function in the residual noise of scatterplot shape;Comparison diagram
3 and Fig. 7 is as it can be seen that the method for the present invention can effectively reject the structured noise of Ultrasonic NDT data, while retain defect
Information.Therefore the efficiency and reliability of defects detection and identification can be greatlyd improve using the method for the present invention.
It should be noted that those of ordinary skill in the art will understand that the embodiments described herein is to help
Reader is helped to understand implementation method of the invention, it should be understood that protection scope of the present invention is not limited to such special statement
And embodiment.Those skilled in the art disclosed the technical disclosures can make various do not depart from originally according to the present invention
Various other specific variations and combinations of essence are invented, these variations and combinations are still within the scope of the present invention.
Claims (4)
1. a kind of structural noise digital filtering method of Ultrasonic NDT data, it is characterised in that:Include the following steps:
S1. ultrasonic non destructive detection equipment each sampling location along scanning path carries out Data Detection, obtains each sampling location
Corresponding A total number evidence, and form original two dimensional array;
S2. it is shown using original two dimensional array as image, structured noise has apparent geometrical characteristic at this time, according to structuring
The geometrical characteristic of noise constructs digital filter;
S3. two-dimentional initial data is filtered using the digital filter of building, which is equivalent to using digital filter
Array, two-dimensional discrete convolution operation is done to original two dimensional array;
S4. to the data after digital filter process, the processing of wave amplitude threshold binarization function is carried out;
S5. it is rejected to some discrete, in the ambient noise signal of scatterplot shape.
2. a kind of structural noise digital filtering method of Ultrasonic NDT data according to claim 1, feature exist
In:The step S1 includes:
In first sampling location in scanning path, ultrasonic non destructive detection equipment is by probe transmitting and receives ultrasonic wave, obtains
And one-dimensional time signal is recorded, it is denoted as the A total number evidence of the sampling location;
Probe is moved to next sampling location along scanning path and carries out ultrasonic transmission/reception, obtains the A total number evidence of the position;
In turn, ultrasonic non destructive detection equipment obtains the corresponding A total number evidence in each sampling location on scanning path, and will be each
The A total number forms original two dimensional array according to stacking.
3. a kind of structural noise digital filtering method of Ultrasonic NDT data according to claim 1, feature exist
In:The step S4 includes:
A preset percentage threshold α is given, for digital filter treated image data, whole pixels are according to formula
Two-valued function is operated:
Wherein I (x) is the pixel amplitude of x index, ImaxIt is global maximum amplitude, J (x) is the result of x index.
4. a kind of structural noise digital filtering method of Ultrasonic NDT data according to claim 1, feature exist
In:The step S5 includes:
From wave amplitude threshold binarization function treated data, determine that there are the scatterplot regions of ambient noise signal;
A preset area pixel threshold β is given, to the scatterplot region of each connection, if picture shared by the scatterplot region of connection
Plain sum is less than β, then rejects the connection region, otherwise retain.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810567564.1A CN108931574A (en) | 2018-06-05 | 2018-06-05 | A kind of structural noise digital filtering method of Ultrasonic NDT data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810567564.1A CN108931574A (en) | 2018-06-05 | 2018-06-05 | A kind of structural noise digital filtering method of Ultrasonic NDT data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108931574A true CN108931574A (en) | 2018-12-04 |
Family
ID=64449399
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810567564.1A Pending CN108931574A (en) | 2018-06-05 | 2018-06-05 | A kind of structural noise digital filtering method of Ultrasonic NDT data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108931574A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110376286A (en) * | 2019-06-13 | 2019-10-25 | 国网浙江省电力有限公司电力科学研究院 | A kind of in-service disc insulator intelligent automation ultrasonic testing system and method |
CN111353942A (en) * | 2018-12-20 | 2020-06-30 | 核动力运行研究所 | Ultrasonic signal noise extraction and quantization algorithm |
CN111855801A (en) * | 2020-07-24 | 2020-10-30 | 武汉大学 | Method for accurately measuring defect size of rough part based on laser ultrasonic imaging |
CN113116231A (en) * | 2021-04-02 | 2021-07-16 | 深圳乐居智能电子有限公司 | Intelligent object identifying method and device and intelligent sweeping robot |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101878640A (en) * | 2007-11-30 | 2010-11-03 | 国立大学法人京都大学 | Image noise elimination method and device |
CN101184346B (en) * | 2006-11-13 | 2011-07-06 | 索尼株式会社 | Filter circuit for noise cancellation, noise reduction signal production method and noise canceling system |
CN102306376A (en) * | 2009-11-03 | 2012-01-04 | 蒋慧琴 | Method for adaptive medical image enhancement |
-
2018
- 2018-06-05 CN CN201810567564.1A patent/CN108931574A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101184346B (en) * | 2006-11-13 | 2011-07-06 | 索尼株式会社 | Filter circuit for noise cancellation, noise reduction signal production method and noise canceling system |
CN101878640A (en) * | 2007-11-30 | 2010-11-03 | 国立大学法人京都大学 | Image noise elimination method and device |
CN102306376A (en) * | 2009-11-03 | 2012-01-04 | 蒋慧琴 | Method for adaptive medical image enhancement |
Non-Patent Citations (1)
Title |
---|
王一丁: "自动指纹识别技术研究", 《硕士学位论文(百度文库)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111353942A (en) * | 2018-12-20 | 2020-06-30 | 核动力运行研究所 | Ultrasonic signal noise extraction and quantization algorithm |
CN111353942B (en) * | 2018-12-20 | 2024-01-12 | 核动力运行研究所 | Ultrasonic signal noise extraction and quantization algorithm |
CN110376286A (en) * | 2019-06-13 | 2019-10-25 | 国网浙江省电力有限公司电力科学研究院 | A kind of in-service disc insulator intelligent automation ultrasonic testing system and method |
CN111855801A (en) * | 2020-07-24 | 2020-10-30 | 武汉大学 | Method for accurately measuring defect size of rough part based on laser ultrasonic imaging |
CN111855801B (en) * | 2020-07-24 | 2021-04-27 | 武汉大学 | Method for accurately measuring defect size of rough part based on laser ultrasonic imaging |
CN113116231A (en) * | 2021-04-02 | 2021-07-16 | 深圳乐居智能电子有限公司 | Intelligent object identifying method and device and intelligent sweeping robot |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108931574A (en) | A kind of structural noise digital filtering method of Ultrasonic NDT data | |
US8345949B2 (en) | Sequential approach for automatic defect recognition | |
GB2610449A8 (en) | Efficient high-resolution non-destructive detecting method based on convolutional neural network | |
JP5121389B2 (en) | Ultrasonic diagnostic apparatus and method for measuring the size of an object | |
JP2002045358A (en) | Automatic detection of cystic substance, and method and apparatus for dimensional measurement | |
CN111047556B (en) | Strip steel surface defect detection method and device | |
US11131650B2 (en) | Ultrasonic analysis of a subject | |
CN116109637B (en) | System and method for detecting appearance defects of turbocharger impeller based on vision | |
US20190282205A1 (en) | Ultrasound imaging system and ultrasound imaging method | |
CN110007493A (en) | Broken bright spot detection method in liquid crystal display | |
CN107684439A (en) | A kind of strain figure recognition methods based on ultrasonic Transient elastography technology | |
JPS6317184B2 (en) | ||
CN102772227A (en) | Self-adaptive ultrasonic color blood flow imaging method | |
CN104034288A (en) | Waterproof layer thickness detection method and device based on B ultrasound | |
CN115774055A (en) | Method, device and system for detecting internal defects of integrated circuit | |
CN111353942B (en) | Ultrasonic signal noise extraction and quantization algorithm | |
CN105784735B (en) | A kind of result data graphical treatment display methods of ultrasound computed tomography detection | |
CN115248436A (en) | Imaging sonar-based fish resource assessment method | |
CN111476790A (en) | Method and device for enhancing display of puncture needle in ultrasonic puncture | |
Jia et al. | A piecewise nonlinear enhancement method of side scan sonar images | |
WO2015166003A1 (en) | Method for the non-destructive testing of a workpiece by means of ultrasound and device therefor | |
JP7091646B2 (en) | Surface scratch depth determination device | |
KR101615733B1 (en) | Particle inspection method for the visualization of surface between the lens and the infrared filter in the camera module | |
Yang et al. | Automated extraction of borehole breakout properties from acoustic televiewer (ATV) data | |
Fusco et al. | A Deep Learning Approach for Artifact Suppression in MEMS-based Airborne Ultrasonic Transceivers |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181204 |