CN117274252A - Steel product surface flaw detection system based on identification analysis - Google Patents
Steel product surface flaw detection system based on identification analysis Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 191
- 239000010959 steel Substances 0.000 title claims abstract description 191
- 238000001514 detection method Methods 0.000 title claims abstract description 64
- 238000004458 analytical method Methods 0.000 title abstract description 10
- 238000001914 filtration Methods 0.000 claims abstract description 105
- 239000000463 material Substances 0.000 claims abstract description 61
- 238000003384 imaging method Methods 0.000 claims abstract description 48
- 239000012535 impurity Substances 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims description 69
- 238000005266 casting Methods 0.000 claims description 58
- 238000005457 optimization Methods 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 2
- 238000009826 distribution Methods 0.000 claims description 2
- 238000003908 quality control method Methods 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 6
- 238000012549 training Methods 0.000 description 6
- 239000004744 fabric Substances 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 229910000640 Fe alloy Inorganic materials 0.000 description 1
- 229910001021 Ferroalloy Inorganic materials 0.000 description 1
- 229910000805 Pig iron Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000035899 viability Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30136—Metal
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention relates to a steel product surface flaw detection system based on identification analysis, which comprises the following components: a nodding imaging device for executing nodding imaging operation of the steel product to be detected surface flaws placed at the detection station; and the third measuring device is used for judging that the fitting area corresponding to the steel product is effective when the area percentage of the fitting area corresponding to the steel product occupying the maximum value filtering image exceeds the limit, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product. According to the invention, when the area of the fitting area corresponding to the steel product exceeds the limit, the fitting area corresponding to the steel product is judged to be effective, and the impurity severity value of the corresponding steel product is determined according to the number of the pixel points formed by the non-steel material in the fitting area corresponding to the steel product, so that reliable information can be provided for quality control of various steel products.
Description
Technical Field
The invention relates to the field of steel production, in particular to a steel product surface flaw detection system based on identification analysis.
Background
The steel industry refers to industries producing pig iron, steel, industrial pure iron and ferroalloys, and is one of the basic industries in all industrialized countries of the world. Economists often use steel production or average steel production as an important indicator for the economic viability of each country. The scale of steel production facilities and enterprises has been increasing in size. With the development of world economy and science and technology, the demand for steel is increasing, the demand for steel quality is increasing, and the production technology is developing continuously with the change of resource conditions.
Iron ore processing can be designed into different types of steel products, such as steel plates, seamless steel pipes and welded steel pipes, through steel production, which can be used for subsequent further processing treatment, and therefore, their material quality is very important, for example, the impurity severity value of the steel products, which show surface flaws, directly determines the quality of finished products of the steel plates, seamless steel pipes and welded steel pipes, and the quality of subsequent further processed products, which need to be paid attention. However, the lack of a targeted high-precision detection mechanism in the prior art makes the quality control of these steel products difficult to implement effectively.
In the prior art, aiming at the detection of surface flaws of products, the detection of the flaws of the surface of the cloth based on multi-source heterogeneous information is disclosed in different fields, for example, application publication number CN116563238A, and an image of a line scanning camera with specific wavelength and specific angle of the cloth is obtained; dividing the image into a defective sample image and a normal sample image, and further constructing an image training data set; establishing a multi-source heterogeneous neural network for cloth surface flaw detection, training by using an image training data set, and acquiring the trained multi-source heterogeneous neural network after training; inputting the images of the cloth to be detected into the trained multi-source heterogeneous neural network to obtain the cloth surface flaw result. In addition, as the application publication number CN116342491A discloses a deep learning-based glass ball surface appearance defect detection method, in the steps of 1, a CMOS high-definition digital camera is adopted, in the steps of 2, model construction and training, in the steps of 3, model testing, the invention shoots and collects the ball surface images with flaws by using a high-definition camera, the ball surface flaw images are enhanced by using a plurality of data enhancement methods, different flaws in the images are marked by marking software and marking data are derived, and a YOLOv5 convolutional neural network training model is utilized; and inputting the ball surface image shot by the high-definition camera into a trained convolutional neural network model for detection and identification, so that the machine can automatically detect flaws on the ball surface and identify flaw types.
Disclosure of Invention
The invention provides a steel product surface flaw detection system based on identification analysis, which aims to solve the technical problems in the related field, and comprises the following structures:
the nodding imaging device is arranged right above the detection station and is used for executing nodding imaging operation on the steel products to be detected with the surface flaws placed at the detection station so as to obtain and output corresponding detection environment images;
the sharpening processing equipment is arranged near the detection station and connected with the nodding imaging device, and is used for executing sharpening processing based on a USM filter on the received detection environment image so as to obtain and output a corresponding instant sharpening image;
the real-time enhancement device is connected with the sharpening processing device and is used for executing image frequency domain enhancement processing on the received instant sharpened image so as to obtain and output a corresponding real-time enhanced image;
the maximum value filtering device is connected with the real-time enhancement device and is used for executing maximum value filtering processing on the received real-time enhancement image so as to obtain and output a corresponding maximum value filtering image;
the first measuring device is arranged near the detection station and connected with the maximum value filtering equipment, and is used for acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are consistent with the imaging characteristics corresponding to the steel product casting material, as first type pixels, and acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as second type pixels;
the second measuring device is connected with the first measuring device and is used for fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product;
the third measuring device is connected with the second measuring device and is used for judging that the fitting area corresponding to the steel product is effective when the fitting area corresponding to the steel product occupies the area percentage of the maximum value filtering image to be exceeded, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the casting material of the corresponding steel product is;
wherein, obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics corresponding to the steel product casting material, as the first type pixel points based on the imaging characteristics corresponding to the steel product casting material, and simultaneously obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as the second type pixel points, comprises: the steel product is a steel plate, a seamless steel pipe or a welded steel pipe.
According to the technical scheme, the method and the device for analyzing the impurity severity values of the steel products, including the steel plate, the seamless steel pipe and the welded steel pipe, can conduct targeted high-precision numerical analysis on the impurity severity values, and therefore important information is provided for quality control of the steel products and the steel products subjected to subsequent deep processing.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a block diagram showing a structure of a surface flaw detection system for steel products based on identification resolution according to an embodiment of the present invention.
Fig. 2 is a block diagram showing a structure of a surface flaw detection system for steel products based on identification resolution according to the B embodiment of the present invention.
Fig. 3 is a block diagram showing a structure of a surface flaw detection system for steel products based on identification resolution according to the C embodiment of the present invention.
Detailed Description
Embodiments of the mark resolution-based steel product surface flaw detection system of the present invention will be described in detail with reference to the accompanying drawings.
Embodiment A
Fig. 1 is a block diagram showing a system for detecting surface flaws of a steel product based on identification resolution according to an embodiment of the present invention, the system comprising the following structure:
the nodding imaging device is arranged right above the detection station and is used for executing nodding imaging operation on the steel products to be detected with the surface flaws placed at the detection station so as to obtain and output corresponding detection environment images;
illustratively, the nodding imaging device is internally provided with a photoelectric sensor, a nodding lens, an optical filter and a flexible circuit board;
specifically, the optical filter is arranged between the photoelectric sensor and the nodding lens, and the flexible circuit board is respectively connected with the photoelectric sensor and the nodding lens;
the sharpening processing equipment is arranged near the detection station and connected with the nodding imaging device, and is used for executing sharpening processing based on a USM filter on the received detection environment image so as to obtain and output a corresponding instant sharpening image;
the real-time enhancement device is connected with the sharpening processing device and is used for executing image frequency domain enhancement processing on the received instant sharpened image so as to obtain and output a corresponding real-time enhanced image;
the maximum value filtering device is connected with the real-time enhancement device and is used for executing maximum value filtering processing on the received real-time enhancement image so as to obtain and output a corresponding maximum value filtering image;
the first measuring device is arranged near the detection station and connected with the maximum value filtering equipment, and is used for acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are consistent with the imaging characteristics corresponding to the steel product casting material, as first type pixels, and acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as second type pixels;
the second measuring device is connected with the first measuring device and is used for fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product;
the third measuring device is connected with the second measuring device and is used for judging that the fitting area corresponding to the steel product is effective when the fitting area corresponding to the steel product occupies the area percentage of the maximum value filtering image to be exceeded, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the casting material of the corresponding steel product is;
wherein, obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics corresponding to the steel product casting material, as the first type pixel points based on the imaging characteristics corresponding to the steel product casting material, and simultaneously obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as the second type pixel points, comprises: the steel product is a steel plate, a seamless steel pipe or a welded steel pipe;
the method for obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics of the steel product casting material, based on the imaging characteristics of the steel product casting material, and obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics of the steel product casting material, as the second type pixel points, further comprises: the imaging characteristic corresponding to the casting material of the steel product is the brightness value distribution interval corresponding to the steel body.
B embodiment
Fig. 2 is a block diagram showing a structure of a surface flaw detection system for steel products based on identification resolution according to the B embodiment of the present invention.
The steel product surface flaw detection system based on identification resolution shown in the embodiment B can comprise the following structure:
the nodding imaging device is arranged right above the detection station and is used for executing nodding imaging operation on the steel products to be detected with the surface flaws placed at the detection station so as to obtain and output corresponding detection environment images;
the sharpening processing equipment is arranged near the detection station and connected with the nodding imaging device, and is used for executing sharpening processing based on a USM filter on the received detection environment image so as to obtain and output a corresponding instant sharpening image;
the real-time enhancement device is connected with the sharpening processing device and is used for executing image frequency domain enhancement processing on the received instant sharpened image so as to obtain and output a corresponding real-time enhanced image;
the maximum value filtering device is connected with the real-time enhancement device and is used for executing maximum value filtering processing on the received real-time enhancement image so as to obtain and output a corresponding maximum value filtering image;
the first measuring device is arranged near the detection station and connected with the maximum value filtering equipment, and is used for acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are consistent with the imaging characteristics corresponding to the steel product casting material, as first type pixels, and acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as second type pixels;
the second measuring device is connected with the first measuring device and is used for fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product;
the third measuring device is connected with the second measuring device and is used for judging that the fitting area corresponding to the steel product is effective when the fitting area corresponding to the steel product occupies the area percentage of the maximum value filtering image to be exceeded, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the casting material of the corresponding steel product is;
a buffer executing device, which is arranged near the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device and is respectively connected with the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device;
for example, the cache executing device may be selected as a FLASH memory or an MMC memory chip;
the buffer executing device is arranged near the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device and is respectively connected with the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device, and comprises: the buffer executing device is used for respectively realizing buffer operations of input signals and output signals of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device.
C embodiment
Fig. 3 is a block diagram showing a structure of a surface flaw detection system for steel products based on identification resolution according to the C embodiment of the present invention.
The steel product surface flaw detection system based on identification resolution shown in embodiment C may include the following structure:
the nodding imaging device is arranged right above the detection station and is used for executing nodding imaging operation on the steel products to be detected with the surface flaws placed at the detection station so as to obtain and output corresponding detection environment images;
the sharpening processing equipment is arranged near the detection station and connected with the nodding imaging device, and is used for executing sharpening processing based on a USM filter on the received detection environment image so as to obtain and output a corresponding instant sharpening image;
the real-time enhancement device is connected with the sharpening processing device and is used for executing image frequency domain enhancement processing on the received instant sharpened image so as to obtain and output a corresponding real-time enhanced image;
the maximum value filtering device is connected with the real-time enhancement device and is used for executing maximum value filtering processing on the received real-time enhancement image so as to obtain and output a corresponding maximum value filtering image;
the first measuring device is arranged near the detection station and connected with the maximum value filtering equipment, and is used for acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are consistent with the imaging characteristics corresponding to the steel product casting material, as first type pixels, and acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as second type pixels;
the second measuring device is connected with the first measuring device and is used for fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product;
the third measuring device is connected with the second measuring device and is used for judging that the fitting area corresponding to the steel product is effective when the fitting area corresponding to the steel product occupies the area percentage of the maximum value filtering image to be exceeded, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the casting material of the corresponding steel product is;
a positioning service device disposed in the vicinity of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device and connected to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, respectively;
wherein, location service device sets up in the vicinity of sharpening processing equipment, real-time enhancement equipment, maximum value filter equipment, first measuring device, second measuring device and third measuring device and respectively with sharpening processing equipment, real-time enhancement equipment, maximum value filter equipment, first measuring device, second measuring device and third measuring device connect includes: the positioning service device is used for respectively providing positioning data service based on a Beidou navigation mechanism for the sharpening processing device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device.
Next, a specific structure of the steel product surface flaw detection system based on the identification analysis according to the present invention will be further described.
In the steel product surface flaw detection system based on identification resolution according to various embodiments of the present invention:
performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device by adopting a picture optimization mechanism to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively;
wherein performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device includes: performing USM filter sharpening processing on output data of the sharpening processing device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening processing device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively;
wherein performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device includes: performing histogram equalization processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measurement device, the second measurement device, and the third measurement device to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measurement device, the second measurement device, and the third measurement device, respectively;
wherein performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device includes: performing gamma correction on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device to obtain output processed data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, respectively;
and wherein performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filter device, the first measurement device, the second measurement device, and the third measurement device using a picture optimization mechanism to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filter device, the first measurement device, the second measurement device, and the third measurement device, respectively, includes: and performing point image restoration on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively.
In addition, in the steel product surface flaw detection system based on identification analysis, the smaller the number of second type pixel points existing in the fitting area corresponding to the steel product, the smaller the determined impurity severity value of the corresponding steel product casting material comprises: and (3) expressing the numerical correspondence of the determined numerical value of the impurity severity of the casting material of the corresponding steel product and the positive correlation of the number of the second type pixel points in the fitting area corresponding to the steel product by adopting a numerical conversion formula.
According to the above embodiments, the present invention has at least the following three key aspects:
inventive point a: acquiring pixels of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics of the steel product casting material, as first type pixels, and acquiring pixels of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics of the steel product casting material, as second type pixels;
invention point B: fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product, wherein non-first type pixel points possibly exist in the fitted area due to the fitting of the area;
invention point C: when the area percentage of the fitting area corresponding to the steel product occupying the maximum value filtering image exceeds the limit, judging that the fitting area corresponding to the steel product is effective, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the corresponding steel product is.
The steel product surface flaw detection system based on identification analysis solves the technical problem that a specific high-precision detection mechanism for surface flaws of steel products comprising steel plates, seamless steel pipes and welded steel pipes is lacking in the prior art, when the area percentage of a maximum value filtered image after on-site imaging picture customization optimization treatment is exceeded in a fitting area corresponding to the steel products, the fitting area corresponding to the steel products is judged to be effective, and the impurity severity value of the corresponding steel products is determined according to the number of non-steel material forming pixel points in the fitting area corresponding to the steel products, so that the specific high-precision numerical analysis of the impurity severity value can be performed on the surfaces of the steel products comprising the steel plates, the seamless steel pipes and the welded steel pipes.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from the principles described.
Claims (9)
1. A steel product surface flaw detection system based on identification resolution, the system comprising:
the nodding imaging device is arranged right above the detection station and is used for executing nodding imaging operation on the steel products to be detected with the surface flaws placed at the detection station so as to obtain and output corresponding detection environment images;
the sharpening processing equipment is arranged near the detection station and connected with the nodding imaging device, and is used for executing sharpening processing based on a USM filter on the received detection environment image so as to obtain and output a corresponding instant sharpening image;
the real-time enhancement device is connected with the sharpening processing device and is used for executing image frequency domain enhancement processing on the received instant sharpened image so as to obtain and output a corresponding real-time enhanced image;
the maximum value filtering device is connected with the real-time enhancement device and is used for executing maximum value filtering processing on the received real-time enhancement image so as to obtain and output a corresponding maximum value filtering image;
the first measuring device is arranged near the detection station and connected with the maximum value filtering equipment, and is used for acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are consistent with the imaging characteristics corresponding to the steel product casting material, as first type pixels, and acquiring pixels, in the maximum value filtering image, of the steel product casting material, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as second type pixels;
the second measuring device is connected with the first measuring device and is used for fitting each first type pixel point in the maximum value filtering image to obtain a fitting area corresponding to the steel product;
the third measuring device is connected with the second measuring device and is used for judging that the fitting area corresponding to the steel product is effective when the fitting area corresponding to the steel product occupies the area percentage of the maximum value filtering image to be exceeded, and determining the impurity severity value of the corresponding steel product according to the number of the second type pixel points in the fitting area corresponding to the steel product, wherein the smaller the number of the second type pixel points in the fitting area corresponding to the steel product is, the smaller the determined impurity severity value of the casting material of the corresponding steel product is;
wherein, obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics corresponding to the steel product casting material, as the first type pixel points based on the imaging characteristics corresponding to the steel product casting material, and simultaneously obtaining the pixel points of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as the second type pixel points, comprises: the steel product is a steel plate, a seamless steel pipe or a welded steel pipe.
2. The identification resolution-based steel product surface flaw detection system according to claim 1, wherein:
acquiring pixels of the steel product casting material in the maximum value filtering image, which are consistent with the imaging characteristics corresponding to the steel product casting material, as the first type of pixels, based on the imaging characteristics corresponding to the steel product casting material, and simultaneously acquiring pixels of the steel product casting material in the maximum value filtering image, which are inconsistent with the imaging characteristics corresponding to the steel product casting material, as the second type of pixels, further comprises: the imaging characteristic corresponding to the casting material of the steel product is the brightness value distribution interval corresponding to the steel body.
3. The identification resolution-based steel product surface flaw detection system according to claim 2, wherein the system further comprises:
a buffer executing device, which is arranged near the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device and is respectively connected with the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device;
the buffer executing device is arranged near the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device and is respectively connected with the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device, and comprises: the buffer executing device is used for respectively realizing buffer operations of input signals and output signals of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device.
4. The identification resolution-based steel product surface flaw detection system according to claim 2, wherein the system further comprises:
a positioning service device disposed in the vicinity of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device and connected to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, respectively;
wherein, location service device sets up in the vicinity of sharpening processing equipment, real-time enhancement equipment, maximum value filter equipment, first measuring device, second measuring device and third measuring device and respectively with sharpening processing equipment, real-time enhancement equipment, maximum value filter equipment, first measuring device, second measuring device and third measuring device connect includes: the positioning service device is used for respectively providing positioning data service based on a Beidou navigation mechanism for the sharpening processing device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device.
5. The identification resolution based steel product surface flaw detection system according to any one of claims 2 to 4, wherein:
and performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device by adopting a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device.
6. The identification resolution-based steel product surface flaw detection system according to claim 5, wherein:
performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, including: and performing USM filter sharpening processing on output data of the sharpening processing equipment, the real-time enhancement equipment, the maximum value filtering equipment, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening processing equipment, the real-time enhancement equipment, the maximum value filtering equipment, the first measuring device, the second measuring device and the third measuring device respectively.
7. The identification resolution-based steel product surface flaw detection system according to claim 5, wherein:
performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, including: and performing histogram equalization processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively.
8. The identification resolution-based steel product surface flaw detection system according to claim 5, wherein:
performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, including: and performing gamma correction on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively.
9. The identification resolution-based steel product surface flaw detection system according to claim 5, wherein:
performing image data processing on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device by using a picture optimization mechanism to obtain output processing data respectively corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device, and the third measuring device, including: and performing point image restoration on output data of the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device to obtain output processing data corresponding to the sharpening device, the real-time enhancement device, the maximum value filtering device, the first measuring device, the second measuring device and the third measuring device respectively.
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