CN113284115A - Steel coil tower shape identification method, system, medium and terminal - Google Patents
Steel coil tower shape identification method, system, medium and terminal Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 132
- 239000010959 steel Substances 0.000 title claims abstract description 132
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 36
- 239000011159 matrix material Substances 0.000 claims description 27
- 238000007781 pre-processing Methods 0.000 claims description 23
- 238000001914 filtration Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 238000003708 edge detection Methods 0.000 claims description 13
- 238000000605 extraction Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 4
- 230000001678 irradiating effect Effects 0.000 abstract 1
- 238000004364 calculation method Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
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- 230000009466 transformation Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000010079 rubber tapping Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000010339 dilation Effects 0.000 description 1
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- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
Abstract
The invention provides a method, a system, a medium and a terminal for identifying the tower shape of a steel coil, wherein the method comprises the steps of emitting laser to the side surface of the steel coil at a preset monitoring point, so that the laser irradiates the side surface of the steel coil transversely to form a continuous laser line; collecting a steel coil image containing the laser line; acquiring a laser line and coordinate information of the laser line according to the steel coil image; comparing according to a threshold value preset by the coordinate information of the laser line, and judging whether the steel coil generates a tower shape; the laser irradiation device can be used for irradiating the side surface of the steel coil by laser, acquiring the steel coil image with the laser line, further extracting the laser line, acquiring the coordinates of each point of the laser line, judging whether the steel coil generates the tower shape according to the acquired coordinates, and calculating the tower shape offset distance of the steel coil according to the acquired included angle between the camera and the center of the steel coil.
Description
Technical Field
The invention relates to the fields of steel, image processing and recognition and monitoring, in particular to a method, a system, a medium and a terminal for identifying the tower shape of a steel coil.
Background
The steel coil is also called coil steel. In order to facilitate storage, transportation and various processing, the steel is hot-pressed and cold-pressed into a coil shape to form a steel coil. With the improvement of product quality, the requirement of users on quality is higher and higher, and in the actual production process, quality degradation and other quality objections may be caused due to surface quality and appearance reasons.
The turriform is the uneven quality defect of coil of strip terminal surface that belted steel produced in batching production, and the existence of turriform not only influences the outward appearance image of coil of strip, transports, deposits and uses, but also can arouse other quality defects such as coil of strip hem to bring unnecessary loss, at present, in the scene is smelted to steel, do not effectively judge the coil of strip turriform, can not guarantee that the coil of strip outward appearance is in normal condition, can't avoid the turriform condition of coil of strip well, cause unnecessary loss easily.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a method, a system, a medium and a terminal for identifying the tower shape of a steel coil, so as to solve the above-mentioned technical problems.
The invention provides a method for identifying the tower shape of a steel coil, which comprises the following steps:
emitting laser to the side face of the steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
collecting a steel coil image containing the laser line;
acquiring a laser line and coordinate information of the laser line according to the steel coil image;
and comparing according to a preset threshold value of the coordinate information of the laser line, and judging whether the steel coil generates the tower shape.
In an embodiment of the present invention, the average position of the ordinate of each point on the laser line is obtained according to the coordinate information of the laser line;
and obtaining the difference value between the vertical coordinate of each point on the laser line and the average position, comparing the interpolation value with a preset threshold value, and if the difference values of n continuous points exceed the threshold value, judging that the steel coil has the tower shape.
In an embodiment of the invention, an image acquisition device and a laser emission device are arranged at a preset monitoring point;
emitting laser to the side face of a steel coil by controlling the laser emitting device, and collecting the steel coil image containing the laser by image collecting equipment;
acquiring a coil center included angle between a laser emission device and a steel coil;
and calculating the tower-shaped offset distance of the steel coil according to the included angle.
In an embodiment of the present invention, coordinates of points on the laser line where a difference between a vertical coordinate and an average position exceeds a threshold range are retained to form a coordinate set;
selecting points with the maximum and minimum horizontal coordinates in the coordinate set;
respectively calculating the distance between the closest end points of the points with the maximum and minimum horizontal coordinates;
and acquiring the tower-shaped offset distance of the steel coil according to the distance with large numerical value in the two distances and the coil center included angle between the laser emitting device and the steel coil.
In an embodiment of the present invention, the method further includes preprocessing the steel coil image, where the preprocessing includes filtering:
and carrying out high-pass filtering in the vertical direction on the steel coil image, carrying out edge detection, and obtaining an image after edge extraction and sharpening enhancement.
In an embodiment of the present invention, the edge detection includes,
acquiring an image matrix of the steel coil image;
setting a convolution kernel G _ y of 3 x 3 in the y direction of the image;
performing convolution operation on the image pixels to obtain an edge image matrix Gy,
the edge image matrix Gy is obtained by the following equation:
Gy＝G_y*A
where G _ y is the convolution kernel and a is the image matrix.
In an embodiment of the present invention, the preprocessing further includes performing binarization processing on the filtered image to obtain a black-and-white image, and performing dilation processing on the black-and-white image,
the expansion process comprises:
setting a convolution kernel G with the size of n x n in the expansion processing;
performing a convolution operation on the black-and-white image by the following formula:
B′＝G*B；
wherein, B is the black-and-white image matrix, and B' is the image preprocessing result.
The invention also provides a steel coil tower shape identification system, which comprises:
the laser emission module is used for emitting laser to the side face of the steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
the image acquisition module is used for acquiring a steel coil image containing the laser line;
the image processing module is used for acquiring the laser line and the coordinate information of the laser line according to the steel coil image;
and the tower-shaped judging module is used for comparing according to a preset threshold value of the coordinate information of the laser line and judging whether the steel coil generates the tower shape.
In an embodiment of the present invention, the apparatus further includes a preprocessing module, and the preprocessing module includes:
the filtering unit is used for carrying out high-pass filtering in the vertical direction on the steel coil image;
the edge detection unit is used for carrying out edge detection and acquiring an image after edge extraction and sharpening enhancement;
the binarization processing unit is used for carrying out image binarization processing on the steel coil image to obtain a black-and-white image;
and the expansion processing unit is used for performing expansion processing on the black-and-white image and performing convolution operation according to the black-and-white image matrix to obtain a preprocessing result of the image.
The invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
The present invention also provides an electronic terminal, comprising: a processor and a memory;
the memory is adapted to store a computer program and the processor is adapted to execute the computer program stored by the memory to cause the terminal to perform the method as defined in any one of the above.
The invention has the beneficial effects that: according to the steel coil tower shape identification method, the steel coil tower shape identification system, the medium and the terminal, the side face of the steel coil is irradiated by laser, the steel coil image with the laser line is collected, the laser line is further extracted, the coordinates of each point of the laser line are obtained, whether the steel coil generates the tower shape or not is judged according to the obtained coordinates, in addition, the steel coil tower shape offset distance can be calculated according to the included angle between the obtained camera and the steel coil center, the laser line on the side face of the steel coil can be identified, the coordinate information of each point on the laser line is extracted, the steel coil tower shape generation condition during steel tapping is judged in time, and unnecessary loss is avoided.
Drawings
Fig. 1 is an overall flow chart of a method for identifying the tower shape of a steel coil in an embodiment of the invention.
Fig. 2 is a schematic diagram illustrating an effect of non-tower shape of the method for identifying tower shape of a steel coil in the embodiment of the invention.
Fig. 3 is a schematic diagram illustrating the tower shape effect in the method for identifying the tower shape of the steel coil in the embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.
As shown in fig. 1, the method for identifying the tower shape of the steel coil in the embodiment includes:
s1, emitting laser to the side face of a steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
s2, acquiring a steel coil image containing the laser line;
s3, acquiring a laser line and coordinate information of the laser line according to the steel coil image;
and S4, comparing according to a preset threshold value of the coordinate information of the laser line, and judging whether the steel coil generates a tower shape.
In step S1 in this embodiment, a laser emitting device and an image collecting device are first erected at a predetermined position, the image collecting device in this embodiment may use the most common camera, the laser emitting device may use a laser, and the laser may be placed at a position X meters away from the side surface of the steel coil; a camera is placed Y meters beside the laser. The laser is controlled to transversely irradiate the side face of the steel coil, a clear and continuous laser line is displayed on the side face of the steel coil, and a high-definition steel coil image with the laser line is acquired by shooting through a camera.
In step S3 in this embodiment, the laser line and the coordinate information of the laser line are obtained according to the steel coil image, and before this, the method further includes preprocessing the steel coil image, where the preprocessing in this embodiment includes operations such as filtering, image binarization, and expansion processing. Filtering the steel coil image, including high-pass filtering in the vertical direction and the like, to obtain an image after edge extraction and sharpening enhancement; then carrying out image binarization processing on the filtered image to obtain a black-and-white image; and performing expansion processing on the black and white image to connect the white part to obtain an image preprocessing result.
In this embodiment, Sobel operator may be used to perform edge detection on the image, obtain more accurate edge direction information, obtain an edge image, and perform image contrast enhancement on the edge image, in this embodiment,
acquiring an image matrix of the steel coil image;
setting a convolution kernel G _ y of 3 x 3 in the y direction of the image;
performing convolution operation on image pixels to obtain an edge image matrix Gy, wherein an operation formula is as follows:
Gy＝G_y*A
where G _ y is the convolution kernel and a is the image matrix.
In this embodiment, the edge image matrix is linearly transformed to obtain an image enhancement result y, where the transformation formula is:
y＝ax+b
wherein a and b are linear transformation parameters, and x is an edge image matrix;
in this embodiment, the step of the image binarization operation includes:
setting a threshold value as kth;
setting the pixel value of the enhanced image to be 1 when the pixel value is less than kth and to be 0 when the pixel value is greater than k, and obtaining a black-and-white image matrix, wherein the conditional expression is as follows:
if k＞kth binary＝0
if k＜kth binary＝1
wherein k is the enhanced image pixel value;
the expansion processing in this embodiment includes:
setting a convolution kernel G with the size of n x n in the expansion processing;
performing convolution operation on the black and white image, wherein the operation formula is as follows:
B′＝G*B；
wherein, B is the black-and-white image matrix, and B' is the image preprocessing result;
in this embodiment, the step of extracting the laser line, obtaining coordinates of each point on the laser line, and obtaining the laser line and its coordinates includes: detecting a white line, namely the laser line, in the preprocessed image, and extracting coordinates of each point on the line;
Laser＝{(x1,y1),(x2,y2),(x3,y3),(x4,y4)......(xk,yk)}
wherein (x)1,y1) Is the coordinates of the points, and k is the number of the points.
In step S4 in this embodiment, a comparison is performed according to a threshold preset by the coordinate information of the laser line, and whether the steel coil is in the tower shape is determined. Calculating the average position of the vertical coordinates of each point on the laser line, and calculating the expression as follows:
wherein the content of the first and second substances,
mean values of ordinate;
setting the vertical coordinate of each point on the laser line in the steel coil image as Y under the normal condition;
calculating the difference value between the vertical coordinate and the average position of each point on the laser line, wherein the calculation expression is as follows:
wherein, Delta YkThe difference value of the vertical coordinate and the average position of each point is obtained;
setting a threshold value alpha1Judging whether the difference value is in the threshold range, if so, continuously judging n points (n)<k) The difference value exceeds the threshold value, the tower shape of the steel coil is judged, and the conditional expression is as follows:
ifΔY1,ΔY2,ΔY3,ΔY4…ΔYn>α1n<k
where n is the number of points for which the coordinate difference exceeds the threshold range.
In this embodiment, according to the distance between the steel coil, the laser, and the camera, the included angle θ between the camera and the laser can be calculated, for example:
wherein, X is the distance between laser instrument and the coil of strip, and Y is the distance between camera and the laser instrument. And then calculating the tower-shaped offset distance of the steel coil according to the included angle.
In this embodiment, according to camera and coil of strip center contained angle, calculate coil of strip turriform offset distance, the step of calculating coil of strip turriform offset distance includes:
and reserving the coordinates of the points of which the difference value between the vertical coordinate and the average position on the laser line exceeds the threshold range, wherein the coordinate expression is as follows:
{(x1,y1),(x2,y2),(x3,y3),(x4,y4)......(xn,yn)}
wherein (x)1,y1) Is the coordinates of the points, and n is the number of the points.
Selecting the points with the maximum and minimum abscissas in the coordinate set, wherein the expression of the points is as follows:
Pxmax＝(X1,Y1)
Qxmin＝(X2,Y2)
respectively calculating the distance between the end points close to the two end points, wherein the calculation expression is as follows:
l1＝|X1-Xt1|
l2＝|X2-Xt2|
wherein, Xt1，Xt2Is the end point abscissa of the laser line;
selecting l1、l2According to the included angle theta between the camera and the steel coil core, the offset distance of the tower shape of the steel coil is calculated, and the calculation expression is as follows:
l＝max{l1,l2}
D＝l×kratio/sinθ
wherein k isratioPixel to actual length conversion.
In this embodiment, whether the turriform of coil of strip takes place is judged according to the coordinate that obtains, and then according to camera and coil of strip coil center contained angle that obtains, calculates coil of strip turriform skew distance, through automatic coil of strip turriform discernment, can discern the laser line of coil of strip side in real time, extract each point coordinate information on the laser line to in time judge the condition that the turriform was taken place to the curly hair of tapping, avoid causing the unnecessary loss.
Correspondingly, this embodiment still provides a coil of strip turriform recognition system, includes:
the laser emission module is used for emitting laser to the side face of the steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
the image acquisition module is used for acquiring a steel coil image containing the laser line;
the image processing module is used for acquiring the laser line and the coordinate information of the laser line according to the steel coil image;
and the tower-shaped judging module is used for comparing according to a preset threshold value of the coordinate information of the laser line and judging whether the steel coil generates the tower shape.
Still include the preliminary treatment module, the preliminary treatment module includes:
the filtering unit is used for carrying out high-pass filtering in the vertical direction on the steel coil image;
the edge detection unit is used for carrying out edge detection and acquiring an image after edge extraction and sharpening enhancement;
the binarization processing unit is used for carrying out image binarization processing on the steel coil image to obtain a black-and-white image;
and the expansion processing unit is used for performing expansion processing on the black-and-white image and performing convolution operation according to the black-and-white image matrix to obtain a preprocessing result of the image.
In this embodiment, the most common camera may be used as the image acquisition module, the laser may be used as the laser emission module, and the laser may be placed at a position X meters away from the side surface of the steel coil; a camera is placed Y meters beside the laser. The laser is controlled to transversely irradiate the side face of the steel coil, a clear and continuous laser line is displayed on the side face of the steel coil, and a high-definition steel coil image with the laser line is acquired by shooting through a camera.
In this embodiment, the image processing module acquires the laser line and the coordinate information of the laser line according to the steel coil image, and before this, the image processing module further performs preprocessing on the steel coil image, where the preprocessing in this embodiment includes operations such as filtering, image binarization, and expansion processing. Filtering the steel coil image, including high-pass filtering in the vertical direction and the like, to obtain an image after edge extraction and sharpening enhancement; then carrying out image binarization processing on the filtered image to obtain a black-and-white image; and performing expansion processing on the black and white image to connect the white part to obtain an image preprocessing result.
In this embodiment, the edge detection unit may perform edge detection on the image by using a Sobel operator to obtain more accurate edge direction information, obtain an edge image, and perform image contrast enhancement on the edge image, in this embodiment,
acquiring an image matrix of the steel coil image;
setting a convolution kernel G _ y of 3 x 3 in the y direction of the image;
performing convolution operation on image pixels to obtain an edge image matrix Gy, wherein an operation formula is as follows:
Gy＝G_y*A
where G _ y is the convolution kernel and a is the image matrix.
In this embodiment, the edge image matrix is linearly transformed to obtain an image enhancement result y, where the transformation formula is:
y＝ax+b
wherein a and b are linear transformation parameters, and x is an edge image matrix;
in this embodiment, the step of the binarization processing unit performing the image binarization operation includes:
setting a threshold value as kth;
setting the pixel value of the enhanced image to be 1 when the pixel value is less than kth and to be 0 when the pixel value is greater than k, and obtaining a black-and-white image matrix, wherein the conditional expression is as follows:
if k＞kth binary＝0
if k＜kth binary＝1
wherein k is the enhanced image pixel value;
the step of performing the expansion process by the expansion process unit in this embodiment includes:
setting a convolution kernel G with the size of n x n in the expansion processing;
performing convolution operation on the black and white image, wherein the operation formula is as follows:
B′＝G*B；
wherein, B is the black-and-white image matrix, and B' is the image preprocessing result;
in this embodiment, the step of extracting the laser line, obtaining coordinates of each point on the laser line, and obtaining the laser line and its coordinates includes: detecting a white line, namely the laser line, in the preprocessed image, and extracting coordinates of each point on the line;
Laser＝{(x1,y1),(x2,y2),(x3,y3),(x4,y4)......(xk,yk)}
wherein (x)1,y1) Is the coordinates of the points, and k is the number of the points.
In this embodiment, the tower shape determining module compares the preset threshold value according to the coordinate information of the laser line to determine whether the steel coil generates the tower shape. Calculating the average position of the vertical coordinates of each point on the laser line, and calculating the expression as follows:
wherein the content of the first and second substances,
mean values of ordinate;
setting the vertical coordinate of each point on the laser line in the steel coil image as Y under the normal condition;
calculating the difference value between the vertical coordinate and the average position of each point on the laser line, wherein the calculation expression is as follows:
wherein, Delta YkThe difference value of the vertical coordinate and the average position of each point is obtained;
setting a threshold value alpha1Judging whether the difference value is in the threshold range, if so, continuously judging n points (n)<k) The difference value exceeds the threshold value, the tower shape of the steel coil is judged, and the conditional expression is as follows:
if ΔY1,ΔY2,ΔY3,ΔY4…ΔYn>α1 n<k
where n is the number of points for which the coordinate difference exceeds the threshold range. The effects are shown in fig. 2 and 3.
In this embodiment, according to the distance between the steel coil, the laser, and the camera, the included angle θ between the camera and the laser can be calculated, for example:
wherein, X is the distance between laser instrument and the coil of strip, and Y is the distance between camera and the laser instrument. And then calculating the tower-shaped offset distance of the steel coil according to the included angle.
In this embodiment, according to camera and coil of strip center contained angle, calculate coil of strip turriform offset distance, the step of calculating coil of strip turriform offset distance includes:
and reserving the coordinates of the points of which the difference value between the vertical coordinate and the average position on the laser line exceeds the threshold range, wherein the coordinate expression is as follows:
{(x1,y1),(x2,y2),(x3,y3),(x4,y4)......(xn,yn)}
wherein (x)1,y1) Is the coordinates of the points, and n is the number of the points.
Selecting the points with the maximum and minimum abscissas in the coordinate set, wherein the expression of the points is as follows:
Pxmax＝(X1,Y1)
Qxmin＝(X2,Y2)
respectively calculating the distance between the end points close to the two end points, wherein the calculation expression is as follows:
l1＝|X1-Xt1|
l2＝|X2-Xt2|
wherein, Xt1，Xt2Is the end point abscissa of the laser line;
selecting l1、l2According to the included angle theta between the camera and the steel coil core, the offset distance of the tower shape of the steel coil is calculated, and the calculation expression is as follows:
l＝max{l1,l2}
D＝l×kratio/sinθ
wherein k isratioPixel to actual length conversion.
The present embodiment also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements any of the methods in the present embodiments.
The present embodiment further provides an electronic terminal, including: a processor and a memory;
the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the method in the embodiment.
The computer-readable storage medium in the present embodiment can be understood by those skilled in the art as follows: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The electronic terminal provided by the embodiment comprises a processor, a memory, a transceiver and a communication interface, wherein the memory and the communication interface are connected with the processor and the transceiver and are used for completing mutual communication, the memory is used for storing a computer program, the communication interface is used for carrying out communication, and the processor and the transceiver are used for operating the computer program so that the electronic terminal can execute the steps of the method.
In this embodiment, the Memory may include a Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In the above embodiments, unless otherwise specified, the description of common objects by using "first", "second", etc. ordinal numbers only indicate that they refer to different instances of the same object, rather than indicating that the objects being described must be in a given sequence, whether temporally, spatially, in ranking, or in any other manner. In the above-described embodiments, reference in the specification to "the embodiment," "an embodiment," "another embodiment," or "other embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiments is included in at least some embodiments, but not necessarily all embodiments. The various appearances of the phrase "the present embodiment," "one embodiment," or "another embodiment" are not necessarily all referring to the same embodiment.
In the embodiments described above, although the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory structures (e.g., dynamic ram (dram)) may use the discussed embodiments. The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The invention is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (11)
1. A method for identifying the tower shape of a steel coil is characterized by comprising the following steps:
emitting laser to the side face of the steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
collecting a steel coil image containing the laser line;
acquiring a laser line and coordinate information of the laser line according to the steel coil image;
and comparing according to a preset threshold value of the coordinate information of the laser line, and judging whether the steel coil generates the tower shape.
2. The method for identifying the tower shape of a steel coil as claimed in claim 1,
acquiring the average position of the vertical coordinate of each point on the laser line according to the coordinate information of the laser line;
and obtaining the difference value between the vertical coordinate of each point on the laser line and the average position, comparing the interpolation value with a preset threshold value, and if the difference values of n continuous points exceed the threshold value, judging that the steel coil has the tower shape.
3. The method for identifying the tower shape of a steel coil as claimed in claim 2,
setting an image acquisition device and a laser emission device at a preset monitoring point;
emitting laser to the side face of a steel coil by controlling the laser emitting device, and collecting the steel coil image containing the laser by image collecting equipment;
acquiring a coil center included angle between a laser emission device and a steel coil;
and calculating the tower-shaped offset distance of the steel coil according to the included angle.
4. The steel coil tower shape identification method according to claim 3,
keeping the coordinates of points with the difference value between the vertical coordinate and the average position on the laser line exceeding the threshold range to form a coordinate set;
selecting points with the maximum and minimum horizontal coordinates in the coordinate set;
respectively calculating the distance between the closest end points of the points with the maximum and minimum horizontal coordinates;
and acquiring the tower-shaped offset distance of the steel coil according to the distance with large numerical value in the two distances and the coil center included angle between the laser emitting device and the steel coil.
5. The method for identifying the tower shape of the steel coil as claimed in claim 1, further comprising,
and preprocessing the steel coil image, wherein the preprocessing comprises filtering:
and carrying out high-pass filtering in the vertical direction on the steel coil image, carrying out edge detection, and obtaining an image after edge extraction and sharpening enhancement.
6. The steel coil tower shape identification method according to claim 5, wherein the edge detection includes,
acquiring an image matrix of the steel coil image;
setting a convolution kernel G _ y of 3 x 3 in the y direction of the image;
performing convolution operation on the image pixels to obtain an edge image matrix Gy,
the edge image matrix Gy is obtained by the following equation:
Gy＝G_y*A
where G _ y is the convolution kernel and a is the image matrix.
7. The steel coil tower shape identification method according to claim 5, wherein the preprocessing further comprises binarizing the filtered image to obtain a black-and-white image, and performing expansion processing on the black-and-white image,
the expansion process comprises:
setting a convolution kernel G with the size of n x n in the expansion processing;
performing a convolution operation on the black-and-white image by the following formula:
B′＝G*B；
wherein, B is the black-and-white image matrix, and B' is the image preprocessing result.
8. The utility model provides a coil of strip turriform identification system which characterized in that includes:
the laser emission module is used for emitting laser to the side face of the steel coil at a preset monitoring point, so that the laser irradiates the side face of the steel coil transversely to form a continuous laser line;
the image acquisition module is used for acquiring a steel coil image containing the laser line;
the image processing module is used for acquiring the laser line and the coordinate information of the laser line according to the steel coil image;
and the tower-shaped judging module is used for comparing according to a preset threshold value of the coordinate information of the laser line and judging whether the steel coil generates the tower shape.
9. The steel coil tower identification system of claim 8, further comprising a pre-processing module, the pre-processing module comprising:
the filtering unit is used for carrying out high-pass filtering in the vertical direction on the steel coil image;
the edge detection unit is used for carrying out edge detection and acquiring an image after edge extraction and sharpening enhancement;
the binarization processing unit is used for carrying out image binarization processing on the steel coil image to obtain a black-and-white image;
and the expansion processing unit is used for performing expansion processing on the black-and-white image and performing convolution operation according to the black-and-white image matrix to obtain a preprocessing result of the image.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the method of any one of claims 1 to 7.
11. An electronic terminal, comprising: a processor and a memory;
the memory is for storing a computer program and the processor is for executing the computer program stored by the memory to cause the terminal to perform the method of any of claims 1 to 7.
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