CN113239806A - Curtain wall plate identification method and system based on image identification - Google Patents
Curtain wall plate identification method and system based on image identification Download PDFInfo
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- 230000008859 change Effects 0.000 claims description 13
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- 239000011521 glass Substances 0.000 description 10
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Abstract
The invention discloses a curtain wall plate identification method based on image identification, which comprises the following steps: s1, collecting the image of the curtain wall plate and uploading the image to an image processing device; s2, the image processing device receives the image information uploaded in the step S1 and frames out the unit plate needing image processing; s3, correcting the image information after the unit plate is selected; s4, performing plate identification on the corrected image information; s5, forming grid distribution on the plates identified in the step S4, and assigning information to each plate; the invention also discloses a curtain wall plate identification system based on image identification, which comprises an image acquisition unit consisting of the image acquisition device and an image processing unit consisting of the image processing device and connected with the image acquisition unit. The invention solves the problem of inaccurate positioning of the curtain wall plate caused by the missing of the data of the existing curtain wall, and realizes the binding of the detection and maintenance information.
Description
Technical Field
The invention relates to the technical field of building curtain walls, in particular to a curtain wall plate identification method and system based on image identification.
Background
At present, building curtain walls are laid on buildings in China for nearly 40 years, most of construction data of the building curtain walls are lost due to the fact that the construction data of the curtain walls are lost, the problem that the detection and the maintenance of curtain wall plates are misaligned in position is caused due to the fact that the construction data of the curtain walls are lost, and a method and a system for identifying the existing curtain walls are not available in China, so that the maintenance information cannot be bound to the curtain wall plates, and great difficulty is brought to the detection and the maintenance of the existing curtain walls; therefore, it is necessary to provide a method and a system for identifying a curtain wall panel based on image identification, so as to solve the problem of misalignment of the curtain wall panel due to missing construction data of the existing curtain wall, and to bind detection and maintenance information, so as to improve the precision and efficiency of detection and maintenance of the existing curtain wall.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a curtain wall plate identification method and system based on image identification.
The technical scheme of the invention is as follows:
firstly, the invention provides a curtain wall plate identification method based on image identification, which comprises the following steps:
s1, collecting the image information of the existing curtain wall plate and uploading the image information to an image processing device;
s2, the image processing device receives the image information uploaded in the step S1 and frames out the unit plate areas needing image processing in the received image information;
s3, correcting the image information after the unit plate area is selected;
s4, performing plate recognition on the corrected image information to determine the image information;
and S5, forming grid distribution on the plates identified in the step S4, and performing information assignment on each plate to realize plate information binding, thereby realizing the binding of detection and maintenance information.
Further, the curtain wall plate identification method further comprises the following steps: step S6, splicing plates;
the specific implementation manner of the step S6 is to repeat the steps S2 to S5 for each captured image, and splice the identified images generated each time to obtain a complete facade of the existing curtain wall.
Further, the specific implementation manner of step S1 is to perform image acquisition on the whole plate of the existing curtain wall through an image acquisition device, and upload the acquired image information to the image processing device.
Further, the specific implementation manner of step S2 is that after the image processing device receives the image information transmitted in step S1, the image processing device displays the received picture on an image processing software platform, places a rectangular frame on the picture through the image processing software platform, and sequentially pulls four vertices of the rectangular frame through a mouse connected to the image processing device, so that the rectangular frame covers the curtain wall panel block to be identified, thereby implementing the operation of selecting the unit panel block region to be subjected to image processing from the frame in the picture.
Further, the specific implementation manner of step S3 is that the image processing apparatus corrects the picture to an angle perpendicular to the line of sight through a standard function while losing part of the image quality definition, and grays the image to convert the picture into a black-and-white picture.
Further, the specific implementation manner of step S4 is to set the high gray extreme value H and the low gray extreme value L by the image processing apparatus using a binary method, so that the region with gray value higher than H in the image becomes completely black, the region with gray value lower than L becomes completely white, the middle gray value is ignored, and further the image only has the region with gray value higher than H, and the image is eroded by a plurality of pixels, so that the black is thicker for easy identification, then the identification quadrilateral function is used to identify all quadrilaterals in the image and store them in the memory of the image processing apparatus, and all quadrilaterals are merged together, during which the image condition needs to be enhanced to enhance the identification capability of the quadrilaterals, and then all quadrilaterals are combed.
Further, the carding of step S4 includes:
s401, if one quadrangle is positioned inside the other quadrangle, deleting the quadrangle with smaller area until the deletion is finished;
s402, sequencing according to the area of the quadrangles, calculating the length and width change rate of the quadrangles by adopting a statistical algorithm, wherein the sudden change of the change rate represents one length and width, and 4/5 of the section types are taken as characteristic sections;
s403, deleting quadrangles with areas smaller than the characteristic cross sections 1/25;
and when the quadrangles of the rows and the columns are counted, the characteristic quadrangles which are regularly placed are counted and found according to the range of 30 percent from top to bottom, and if the characteristic quadrangles can be placed in the blank of the rows and the columns, the characteristic quadrangles are automatically filled in the blank.
Further, step S4 requires setting multiple H and L values for processing the same image in one or more of strong sunlight, cloudy days, shadows, and dark places to obtain multiple results for further use.
Further, the enhancing in step S4 includes one or more of bilateral filtering enhancing, histogram equalization enhancing, and adaptive histogram function enhancing, which are adopted in sequence;
the assignment in step S5 includes one or more of a plate size assignment, a plate material assignment, and a plate model assignment.
Secondly, the invention also provides a curtain wall plate identification system based on image identification, which comprises an image acquisition unit formed by the image acquisition device and an image processing unit formed by the image processing device; the image acquisition unit is in communication connection with the image processing unit, the image acquisition unit is used for acquiring image information of an existing curtain wall and uploading the information to the image processing unit, and the image processing unit is used for dividing the number of all plates in the received image information according to image identification and binding the detection and maintenance information of the identified plates.
By adopting the scheme, the invention has the following beneficial effects:
the method effectively solves the problem of inaccurate positioning of curtain wall plates caused by data loss of the existing curtain wall, utilizes image recognition to carry out division recognition on the curtain wall plates, simultaneously carries out recognition and numbering on the curtain wall vertical face plates, and is matched with the existing curtain wall safety detection equipment to realize binding of detection and maintenance information, and the method is high in precision, efficient and convenient.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow chart of a method for identifying a curtain wall plate based on image identification according to the present invention;
FIG. 2 is a block diagram of a curtain wall plate identification system based on image identification according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments.
First, referring to fig. 1, the invention provides a curtain wall plate identification method based on image identification, which comprises the following steps:
s1, collecting the image information of the existing curtain wall plate and uploading the image information to an image processing device; in this embodiment, the specific implementation manner of step S1 is to perform image acquisition on the whole slab of the existing curtain wall through an image acquisition device, that is, to acquire a picture, and upload the acquired image information to an image processing device; the image processing device comprises one or more of a desktop computer, a notebook computer, a tablet computer and an all-in-one computer, wherein the desktop computer, the notebook computer, the tablet computer and the all-in-one computer are all embedded with an image processing software platform;
s2, the image processing device receives the image information uploaded in the step S1 and frames out the unit plate areas needing image processing in the received image information; in this embodiment, the specific implementation manner of step S2 is that after the image processing device receives the image information transmitted in step S1, the image processing device displays the received picture on an image processing software platform, places a rectangular frame on the picture through the image processing software platform, and sequentially drags four vertices of the rectangular frame through a mouse connected to the image processing device, so that the rectangular frame covers the curtain wall panel block to be identified, thereby implementing an operation of selecting a unit panel block region to be subjected to image processing from a frame in the picture;
s3, correcting the image information after the cell plate area is selected by the image processing device; in this embodiment, according to that four vertices of a framed rectangular frame represent the deformation of a rectangular region due to oblique photographing, the image processing apparatus corrects an image into a rectangle through a standard function, that is, corrects the image into an angle perpendicular to a line of sight while losing a part of image quality definition, and grays the image, that is, converts the image into a black-white image;
s4, using binary method to identify the corrected image information by the image processing device to determine the image information; in this embodiment, a curtain wall plate is exemplified by a glass curtain wall, a glass frame of the glass curtain wall is dark in color, the gray value of the glass frame is high, the glass tends to be white, and the gray value of the glass is low, based on which, a high gray extreme value H and a low gray extreme value L are set, an area with a gray value higher than H becomes completely black, an area with a gray value lower than L becomes completely white, and a middle gray value is ignored, at this time, only a glass frame remains in an image in the picture, and in several cases of strong sunlight, cloudy days, shadows, and partial darkness, since an optimal H value and an optimal L value cannot be determined, it is necessary to set various H values and L values to process the same image respectively to obtain various results for standby, in this embodiment, seven H values and L values in different cases are set simultaneously to process and seven results are obtained for standby, as shown in table one:
watch 1
| Low threshold value | High threshold | Application conditions | |
| 1 | 10 | 30 | The color of the curtain wall plate is basically the same as that of the frame material, and the edge has only small gray scale change |
| 2 | 25 | 75 | When the light is very dark, the gray value of the edge of the curtain wall plate is close to that of the |
| 3 | 40 | 120 | Interpolation |
| 4 | 50 | 150 | General parameters under general environment (excluding the environment with strong sunlight, cloudy day, shadow and dark) |
| 5 | 60 | 180 | |
| 6 | 80 | 200 | Glass is transparent, indoor scenery can be seen, low threshold value is improved, and redundant edge detected on glass plate is reduced |
| 7 | 100 | 220 | When black-white drawing is scanned, the edge gray scale is changed from 0 to 255 |
The edge of the image refers to a part with a significant brightness change in a local area of the image, and the gray profile of the area can be generally regarded as a step, i.e. the area changes sharply from a buffer area with a small gray value to another area with a large gray value difference, so the edge contour is calculated by a Canny edge detection function, and the specific calculation formula is as follows: output edge map = Canny (input grey map, low threshold, high threshold), where a sudden grey change above the high threshold is considered a strong edge initial segment, while a grey change below the low threshold is considered a smooth transition and no edge segment is identified;
in addition, when image processing is carried out, one pixel is corroded on an image in the picture, so that a black area of the image in the picture is thicker and is convenient to identify, then a quadrilateral identifying function is adopted to identify all quadrilaterals in the picture and store the quadrilaterals in an internal memory of an image processing device, and the quadrilaterals in seven results are combined together, and the image condition needs to be enhanced in the period, wherein the enhancement comprises sequential adoption of bilateral filtering enhancement, histogram equalization enhancement and self-adaptive histogram function enhancement, so that the quadrilateral identification capability is enhanced, and then all quadrilaterals are combed, wherein the method comprises the following steps of:
s401, if one quadrangle is positioned inside the other quadrangle, deleting the quadrangle positioned in the quadrangle, namely deleting the quadrangle with smaller area until the deletion is finished;
s402, sequencing according to the area of the quadrangles, calculating the length and width change rate of the quadrangles by adopting a statistical algorithm, wherein the sudden change of the change rate represents one length and width, and 4/5 of the section types are taken as characteristic sections;
s403, deleting quadrangles with areas smaller than the characteristic cross sections 1/25;
further, when the quadrangles of the rows and the columns are counted, the characteristic quadrangles which are regularly placed are counted and found according to the range of 30% from top to bottom, and if the characteristic quadrangles can be placed in the blank of the rows and the columns, the characteristic quadrangles are automatically filled in the blank, so that automatic filling is realized, and the problems that the glass is shielded by trees, the local reflection is strong, and the like and cannot be identified are effectively solved;
s5, forming grid distribution on the plates identified in the step S4 through an image processing device, wherein the grids can be selected in batches and edited, and information assignment is carried out on each plate to realize plate information binding, so that binding of detection and maintenance information can be realized by matching with existing curtain wall safety detection equipment; specifically, the assignment includes plate size assignment, plate material assignment, plate model assignment and the like;
further, step S6 may be included, where the plates are spliced; the plate acquired by the image acquisition device can be acquired by multiple times, and the image acquired at each time is repeatedly subjected to the steps S2 to S5, so that the image generated at each time after identification can be spliced, all pictures can be spliced into a complete vertical surface, all work is completed, the whole plate of the existing curtain wall is identified and processed, the problem of misalignment of the curtain wall plate caused by the missing of construction data of the existing curtain wall is effectively solved, the curtain wall plate is divided and identified by utilizing image identification, the curtain wall vertical surface plate is identified and numbered at the same time, the existing curtain wall safety detection equipment is matched, the binding of detection and maintenance information is realized, the detection and maintenance of the existing curtain wall are facilitated, and the device has the advantages of high precision, high efficiency and convenience.
Secondly, referring to fig. 2, the invention further provides a curtain wall plate identification system based on image identification, which includes an image acquisition unit 1 composed of the image acquisition device in the method and an image processing unit 2 composed of the image processing device in the method, wherein the image acquisition unit 1 is in communication connection with the image processing unit 2, the image acquisition unit 1 is used for acquiring image information of an existing curtain wall and uploading the information to the image processing unit 2, and the image processing unit 2 is used for identifying and dividing the number of all plates in the received image information according to the image and binding the detected and maintained information of the identified plates, so that segmented image extraction can be realized for numbering, and segmented images can be spliced.
Compared with the prior art, the invention has the following beneficial effects:
the method effectively solves the problem of inaccurate positioning of curtain wall plates caused by data loss of the existing curtain wall, utilizes image recognition to carry out division recognition on the curtain wall plates, simultaneously carries out recognition and numbering on the curtain wall vertical face plates, and is matched with the existing curtain wall safety detection equipment to realize binding of detection and maintenance information, and the method is high in precision, efficient and convenient.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A curtain wall plate identification method based on image identification is characterized by comprising the following steps:
s1, collecting the image information of the existing curtain wall plate and uploading the image information to an image processing device;
s2, the image processing device receives the image information uploaded in the step S1 and frames out the unit plate areas needing image processing in the received image information;
s3, correcting the image information after the unit plate area is selected;
s4, performing plate recognition on the corrected image information to determine the image information;
and S5, forming grid distribution on the plates identified in the step S4, and performing information assignment on each plate to realize plate information binding, thereby realizing the binding of detection and maintenance information.
2. The method for identifying curtain wall slabs based on image identification as claimed in claim 1, wherein the method further comprises: step S6, splicing plates;
the specific implementation manner of the step S6 is to repeat the steps S2 to S5 for each captured image, and splice the identified images generated each time to obtain a complete facade of the existing curtain wall.
3. The method for identifying curtain wall slabs based on image identification as claimed in claim 1, wherein step S1 is implemented by acquiring an image of an entire slab of an existing curtain wall through an image acquisition device, and uploading the acquired image information to the image processing device.
4. The method for identifying curtain wall slabs based on image identification as claimed in claim 1, wherein step S2 is implemented in such a way that after the image processing device receives the image information transmitted in step S1, the image processing device displays the received picture on an image processing software platform, and puts a rectangular frame on the picture through the image processing software platform, and then sequentially drags four vertices of the rectangular frame through a mouse connected to the image processing device, so that the rectangular frame covers the curtain wall slabs to be identified, thereby realizing the operation of selecting the unit slab region to be subjected to image processing from the picture frame.
5. The method for identifying curtain wall plate based on image identification as claimed in claim 1, wherein the step S3 is implemented by the image processing device correcting the image to be at an angle perpendicular to the line of sight through a standard function while losing a part of the image quality definition, and graying the image to convert the image into a black-and-white image.
6. The method for identifying curtain wall plate based on image identification as claimed in claim 1, wherein the specific implementation manner of step S4 is to set the high gray extreme value H and the low gray extreme value L by the image processing apparatus using a binary method, so that the region with gray value higher than H in the image becomes completely black, the region with gray value lower than L becomes completely white, the middle gray value is ignored, so that the image only has the region with gray value higher than H, and the image is eroded by several pixels, so that the black color is thicker for identification, then the quadrilateral in the image is identified completely and stored in the memory of the image processing apparatus by using the identification quadrilateral function, and all quadrilaterals are combined together, during which the image condition needs to be enhanced to enhance the quadrilateral identification capability, and then all quadrilaterals are combed.
7. The method for identifying curtain wall slab based on image identification as claimed in claim 6, wherein the combing in step S4 includes:
s401, if one quadrangle is positioned inside the other quadrangle, deleting the quadrangle with smaller area until the deletion is finished;
s402, sequencing according to the area of the quadrangles, calculating the length and width change rate of the quadrangles by adopting a statistical algorithm, wherein the sudden change of the change rate represents one length and width, and 4/5 of the section types are taken as characteristic sections;
s403, deleting quadrangles with areas smaller than the characteristic cross sections 1/25;
and when the quadrangles of the rows and the columns are counted, the characteristic quadrangles which are regularly placed are counted and found according to the range of 30 percent from top to bottom, and if the characteristic quadrangles can be placed in the blank of the rows and the columns, the characteristic quadrangles are automatically filled in the blank.
8. The method for identifying curtain wall plate based on image identification as claimed in claim 6, wherein step S4 requires setting multiple H and L values for processing the same image to obtain multiple results for use in one or more of strong sunlight, cloudy days, shadows, and darkness.
9. The method for identifying curtain wall plate based on image identification as claimed in claim 6, wherein the enhancing in step S4 includes one or more of bilateral filtering enhancing, histogram equalization enhancing, and adaptive histogram function enhancing;
the assignment in step S5 includes one or more of a plate size assignment, a plate material assignment, and a plate model assignment.
10. A curtain wall plate identification system based on image identification is characterized by comprising an image acquisition unit and an image processing unit, wherein the image acquisition unit is composed of an image acquisition device; the image acquisition unit is in communication connection with the image processing unit, the image acquisition unit is used for acquiring image information of an existing curtain wall and uploading the information to the image processing unit, and the image processing unit is used for dividing the number of all plates in the received image information according to image identification and binding the detection and maintenance information of the identified plates.
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Cited By (1)
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