CN111311670B - Cooling bed punching recognition method, system and equipment based on image recognition - Google Patents
Cooling bed punching recognition method, system and equipment based on image recognition Download PDFInfo
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- CN111311670B CN111311670B CN202010101697.7A CN202010101697A CN111311670B CN 111311670 B CN111311670 B CN 111311670B CN 202010101697 A CN202010101697 A CN 202010101697A CN 111311670 B CN111311670 B CN 111311670B
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
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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
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
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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
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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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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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
Abstract
The application discloses a cold bed punching recognition method based on image recognition, which comprises the following steps: acquiring an image of a target area; setting a region of interest according to the acquired image of the target region; performing target detection on the region of interest to obtain one or more detection targets; determining the position of the one or more detection targets in the region of interest; acquiring the length of the cold bed tapping according to the positions of the one or more detection targets in the region of interest; judging whether the cold bed steel is topped according to the length of the cold bed steel tapping. According to the cold bed top punching recognition method, manual participation is not needed, the working efficiency is greatly improved for the cold bed top punching recognition method mainly relying on manual visual inspection in the prior art, recognition of cold bed steel tapping is achieved through a series of image processing by a visual algorithm, the problem that the existing cold bed top punching recognition efficiency is low, the quality of the cold bed steel tapping is affected is solved, and a series of problems caused by manual participation are avoided.
Description
Technical Field
The application relates to the technical field of digital image processing, in particular to a cooling bed punching recognition method and system based on image recognition.
Background
In the smelting process in the ferrous metallurgy field, the cooling bed is key equipment in production, and can be used for cutting bars with the length of a doubling scale through flying shears after rolling by a rolling mill, conveying and unloading the bars onto a cooling bed rack for cooling, and once faults or misoperation occur, the whole-line shutdown production is caused, so that the production cannot be normally carried out. In the process of rolling products such as deformed steel bars and steel pipes by using a cooling bed, the condition of steel products of cooling bed tapping, namely cooling bed tapping, occurs, and once the condition of cooling bed tapping occurs, the cooling bed tapping needs to be processed in time.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present application is to provide a method and a system for identifying a cooling bed punch top based on image identification, which are used for solving the drawbacks of the prior art.
To achieve the above and other related objects, the present application provides a method for identifying a cooling bed punch top based on image identification, comprising:
acquiring an image of a target area;
setting a region of interest according to the acquired image of the target region;
performing target detection on the region of interest to obtain one or more detection targets;
determining the position of the one or more detection targets in the region of interest;
acquiring the length of the cold bed tapping according to the positions of the one or more detection targets in the region of interest;
judging whether the cold bed steel is topped according to the length of the cold bed steel tapping.
Optionally, when the length of steel tapped from the cooling bed is greater than the length of the cooling bed, the occurrence of the cooling bed punching is indicated.
Optionally, the method further comprises:
graying treatment is carried out on the one or more detection targets, so that one or more gray maps of the detection targets are obtained;
performing image binarization processing on one or more gray level images of the detection target to obtain one or more binarized images of the detection target;
and acquiring the outermost peripheral outline of one or more binarized images of the detection target.
Optionally, the method further comprises:
calculating the contour area of the outermost contour of the one or more detection targets;
screening out contours meeting preset conditions according to contour areas of the outermost contours of the one or more detection targets;
obtaining a boundary rectangular frame of the outline conforming to the preset condition;
and obtaining the positions of one or more detection targets in the region of interest according to the boundary rectangular box of the outline meeting the preset condition.
Optionally, the preset condition is that the contour area of the outermost contour of the detection target is larger than the set pixel point.
Optionally, the contour area of each outermost contour is obtained based on inflection point information of the outermost contour of the detection target.
To achieve the above and other related objects, the present application provides a cooling bed punching recognition system based on image recognition, comprising:
the image acquisition module is used for acquiring an image of the target area;
the setting module is used for setting the region of interest according to the acquired image of the target region;
the target detection module is used for carrying out target detection on the region of interest to obtain one or more detection targets;
a first location determination module for determining a location of the one or more detection targets in the region of interest;
the tapping length acquisition module is used for acquiring the tapping length of the cooling bed according to the positions of the one or more detection targets in the region of interest;
and the judging module is used for judging whether the cold bed steel is topped according to the length of the cold bed steel tapping.
Optionally, the method further comprises:
the gray processing module is used for carrying out gray processing on the one or more detection targets to obtain one or more gray images of the detection targets;
the binarization processing module is used for carrying out image binarization processing on one or more gray level images of the detection target to obtain one or more binarized images of the detection target;
and the contour acquisition module is used for acquiring the outermost contour of one or more binarized images of the detection target.
Optionally, the method further comprises:
the contour detection module is used for calculating the contour area of the outermost contour of the one or more detection targets;
the screening module is used for screening out the outline meeting the preset condition according to the outline area of the outermost outline of the one or more detection targets;
the boundary acquisition module is used for acquiring a boundary rectangular frame of the outline conforming to the preset condition;
and the second position determining module is used for obtaining the positions of one or more detection targets in the region of interest according to the boundary rectangular box of the outline meeting the preset condition.
To achieve the above and other related objects, the present application provides an apparatus comprising:
a processor; and
a machine-readable medium having instructions stored thereon, which when executed by the processor, cause the apparatus to perform the method.
As described above, the cooling bed punching recognition method and system based on image recognition have the following beneficial effects:
according to the cold bed top punching recognition method, manual participation is not needed, the working efficiency is greatly improved, a series of image processing is carried out through a visual algorithm to realize recognition of cold bed steel tapping, the problem that the existing cold bed top punching recognition efficiency is low and the quality of the cold bed steel tapping is affected is solved, a series of problems caused by manual participation are avoided, recognition judgment of cold bed top punching abnormal conditions is replaced manually, rapid and accurate detection recognition is carried out, manual participation is not needed, and intelligent, efficient and accurate industrial scenes are realized.
Drawings
FIG. 1 is a flowchart of a method for identifying a cold bed top punch based on image identification according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a cold bed top punching recognition method based on image recognition according to another embodiment of the present application;
FIG. 3 is a schematic diagram of a method for identifying a cold bed top punch based on image identification according to another embodiment of the present application;
FIG. 4 is a schematic diagram of a cooling bed punching recognition system based on image recognition according to an embodiment of the application;
FIG. 5 is a schematic diagram of a cooling bed punching recognition system based on image recognition according to another embodiment of the present application;
fig. 6 is a schematic diagram of a cooling bed punching recognition system based on image recognition according to another embodiment of the present application.
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present application by way of illustration, and only the components related to the present application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
As shown in fig. 1, a cooling bed punching recognition method based on image recognition in this embodiment includes:
s11, acquiring an image of a target area;
s12, setting a region of interest according to the acquired image of the target region;
s13, performing target detection on the region of interest to obtain one or more detection targets;
s14, determining the position of the one or more detection targets in the region of interest;
s15, acquiring the length of cold bed tapping according to the positions of the one or more detection targets in the region of interest;
s16, judging whether the cold bed steel is topped according to the length of the cold bed steel tapping.
The visual algorithm based on image recognition can better extract the characteristics of an input image, accurately and smoothly recognize the steel image in the scene state, acquire the length of cold bed steel tapping according to the recognized steel coordinate position, judge whether cold bed steel topping occurs or not, realize timely alarm of the cold bed topping condition in the steelmaking process, and have excellent effect.
In this embodiment, the target area is an area including the entire cooling bed. The image acquisition device such as a camera can be used for acquiring the image of the monitoring area.
In the present embodiment, a region of interest is set based on the acquired target region image, the region of interest being a cold bed tapping region.
Since the present application is to judge whether or not the cold bed steel is topped, it is necessary to detect a specific steel. In this embodiment, the steel is used as a detection target, and detecting a specific steel is detecting one or more detection targets in the region of interest.
In this embodiment, the judgment of whether the cold bed steel is topped is to judge the length of the cold bed steel and the length of the cold bed, and if the length of the cold bed steel is greater than the length of the cold bed, the judgment indicates that the cold bed is topped. If the cooling bed is in a top-punching condition, alarming and processing are carried out in time.
In an embodiment, as shown in fig. 2, the cooling bed punching head identifying method further includes:
s21, carrying out graying treatment on the one or more detection targets to obtain one or more gray maps of the detection targets;
s22, performing image binarization processing on one or more gray level images of the detection target to obtain one or more binarized images of the detection target;
s23, acquiring the outermost contour of one or more binarized images of the detection target.
In one embodiment, the image binarization process includes:
the image binarization processing method is to binarize the image information by traversing all pixel points in the gray level image, and the processed image has only two colors of black and white. When the gray value of the pixel point in the gray image is larger than the set threshold, the gray value takes the maximum threshold maxval, the corresponding color is generally 255 and is white, otherwise, the gray value is set to be 0 and the corresponding color is black, and the specific formula is as follows:
wherein dst represents the obtained result image, x represents the abscissa of the current pixel point, y represents the ordinate of the current pixel point, maxvl represents the maximum threshold value, generally 255, src represents the input original single-channel image, and thresh represents the set threshold value.
In an embodiment, as shown in fig. 3, the cooling bed punching head identifying method further includes:
s31, calculating the contour area of the outermost contour of the one or more detection targets;
s32, screening out contours meeting preset conditions according to the contour areas of the outermost contours of the one or more detection targets;
s33, obtaining a boundary rectangular frame of the outline conforming to the preset condition;
s34, obtaining the positions of one or more detection targets in the region of interest according to the boundary rectangular box of the outline meeting the preset condition.
The preset condition is that the outline area of the outermost outline of the detection target is larger than the set pixel point.
In an embodiment, the contour area of each outermost contour is obtained based on inflection point information of the outermost contour of the detection target.
Detecting the outermost contour of the detection target after binarization processing, ignoring the inner contour in the contour, then only storing inflection point information of the contour, calculating the contour area of each outermost contour according to the obtained contour inflection point information, and finally screening out the contour meeting the requirements according to the contour area and preset conditions. Deleting the outermost peripheral outline of which the number of the pixel points is smaller than or equal to n, reserving the outermost peripheral outline of which the number of the pixel points is larger than n, wherein specific screening conditions, namely the value of n, are required to be set according to specific industrial scene states, for example, the value of n in the embodiment is set to be 500, and finally reserving the outermost peripheral outline of more than 500 pixel points.
In the embodiment, firstly, a picture is acquired in real time through a camera, a steel image in a single scene is taken as input, the image is automatically processed through an image recognition algorithm, the characteristics of the steel are recognized, and finally, the coordinate position of the steel tapped from the cooling bed is output. And acquiring the length of the steel tapped by the cooling bed according to the identified steel coordinate position, and judging whether abnormal conditions of the steel toppling of the cooling bed occur. And if the length of the steel tapped by the cooling bed is greater than the length of the cooling bed, indicating that the condition of punching the cooling bed occurs. When the length of the steel product of the cooling bed steel, which is identified in the on-site real-time video, is not less than 98% of the width of the original input image (the specific threshold condition can be adjusted according to the specific industrial scene condition), the condition of the cooling bed steel punching is considered, and the timely alarm of the cooling bed steel punching is realized.
The cold bed top punching recognition method based on image recognition realizes the cold bed steel top punching recognition under the industrial scene without manual participation, the recognition accuracy of the cold bed steel top punching is over 99 percent, the effect is obvious under the industrial scene that the cold bed is used for effectively cooling the rolled product in actual use, the unprecedented leap exists in the technical field of cold bed top punching recognition, and the steelmaking quality and the production efficiency of steel factories are improved.
As shown in fig. 4, a cooling bed punching recognition system based on image recognition includes:
an image acquisition module 11 for acquiring an image of a target area;
a setting module 12, configured to set a region of interest according to the acquired image of the target region;
the target detection module 13 is configured to perform target detection on the region of interest, so as to obtain one or more detection targets;
a first location determination module 14 for determining a location of the one or more detection targets in the region of interest;
a tapping length obtaining module 15, configured to obtain a length of tapping of the cooling bed according to positions of the one or more detection targets in the region of interest;
and the judging module 16 is used for judging whether the cold bed steel is topped according to the length of the cold bed steel tapping.
In one embodiment, as shown in fig. 5, the cooling bed punching head recognition system further includes:
a gray scale processing module 21, configured to perform gray scale processing on the one or more detection targets, so as to obtain one or more gray scale images of the detection targets;
the binarization processing module 22 is configured to perform image binarization processing on one or more gray level images of the detection target, so as to obtain one or more binarized images of the detection target;
a contour obtaining module 23, configured to obtain the outermost contour of the one or more binarized images of the detection target.
In one embodiment, as shown in fig. 6, the cooling bed punching head recognition system further includes:
a contour detection module 31 for calculating a contour area of an outermost contour of the one or more detection targets;
a screening module 32, configured to screen out a contour that meets a preset condition according to a contour area of an outermost contour of the one or more detection targets;
a boundary obtaining module 33, configured to obtain a boundary rectangular box of a contour that meets the preset condition;
a second position determining module 34, configured to obtain the positions of one or more detection targets in the region of interest according to the bounding rectangle conforming to the outline of the preset condition.
Since the embodiments of the apparatus portion and the embodiments of the method portion correspond to each other, the contents of the embodiments of the apparatus portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory ((RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, etc.
The above embodiments are merely illustrative of the principles of the present application and its effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all equivalent modifications and variations of the application be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (9)
1. The cold bed punching recognition method based on image recognition is characterized by comprising the following steps of:
acquiring an image of a target area;
setting a region of interest according to the acquired image of the target region;
performing target detection on the region of interest to obtain one or more detection targets;
determining the position of the one or more detection targets in the region of interest;
acquiring the length of the cold bed tapping according to the positions of the one or more detection targets in the region of interest;
judging whether the cold bed steel is topped according to the length of the cold bed steel tapping;
when the length of steel tapped from the cooling bed is longer than the length of the cooling bed, the condition that the cooling bed is stamped is indicated.
2. The method for identifying cold bed top punch based on image identification according to claim 1, further comprising:
graying treatment is carried out on the one or more detection targets, so that one or more gray maps of the detection targets are obtained;
performing image binarization processing on one or more gray level images of the detection target to obtain one or more binarized images of the detection target;
and acquiring the outermost peripheral outline of one or more binarized images of the detection target.
3. The image recognition-based cooling bed punching recognition method according to claim 2, further comprising:
calculating the contour area of the outermost contour of the one or more detection targets;
screening out contours meeting preset conditions according to contour areas of the outermost contours of the one or more detection targets;
obtaining a boundary rectangular frame of the outline conforming to the preset condition;
and obtaining the positions of one or more detection targets in the region of interest according to the boundary rectangular box of the outline meeting the preset condition.
4. The method for recognizing cold bed top punch based on image recognition according to claim 3, wherein the preset condition is that a contour area of an outermost contour of the detection target is larger than a set pixel point.
5. The method for recognizing cold bed top punch based on image recognition according to claim 3, wherein a contour area of each outermost contour is obtained based on inflection point information of the outermost contour of the detection target.
6. An image recognition-based cooling bed punching recognition system, which is characterized by comprising:
the image acquisition module is used for acquiring an image of the target area;
the setting module is used for setting the region of interest according to the acquired image of the target region;
the target detection module is used for carrying out target detection on the region of interest to obtain one or more detection targets;
a first location determination module for determining a location of the one or more detection targets in the region of interest;
the tapping length acquisition module is used for acquiring the tapping length of the cooling bed according to the positions of the one or more detection targets in the region of interest;
and the judging module is used for judging whether the cold bed steel is topped according to the length of the cold bed steel tapping, and when the length of the cold bed steel tapping is greater than the length of the cold bed, the condition of the cold bed steel topping is indicated.
7. The image recognition-based cooling bed punch recognition system of claim 6, further comprising:
the gray processing module is used for carrying out gray processing on the one or more detection targets to obtain one or more gray images of the detection targets;
the binarization processing module is used for carrying out image binarization processing on one or more gray level images of the detection target to obtain one or more binarized images of the detection target;
and the contour acquisition module is used for acquiring the outermost contour of one or more binarized images of the detection target.
8. The image recognition-based cooling bed punch recognition system of claim 7, further comprising:
the contour detection module is used for calculating the contour area of the outermost contour of the one or more detection targets;
the screening module is used for screening out the outline meeting the preset condition according to the outline area of the outermost outline of the one or more detection targets;
the boundary acquisition module is used for acquiring a boundary rectangular frame of the outline conforming to the preset condition;
and the second position determining module is used for obtaining the positions of one or more detection targets in the region of interest according to the boundary rectangular box of the outline meeting the preset condition.
9. An electronic device, comprising:
a processor; and
a machine readable medium having instructions stored thereon, which when executed by the processor, cause the apparatus to perform the method as claimed in claims 1-5.
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| CN111968104B (en) * | 2020-08-27 | 2023-04-07 | 中冶赛迪信息技术(重庆)有限公司 | Machine vision-based steel coil abnormity identification method, system, equipment and medium |
| CN112037194B (en) * | 2020-08-31 | 2023-04-07 | 中冶赛迪信息技术(重庆)有限公司 | Method, system, equipment and medium for detecting disordered steel of cooling bed |
| CN112053336B (en) * | 2020-08-31 | 2023-05-26 | 中冶赛迪信息技术(重庆)有限公司 | Bar alignment detection method, system, equipment and medium |
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