CN109614959B - Highway bridge deck image acquisition method - Google Patents
Highway bridge deck image acquisition method Download PDFInfo
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- CN109614959B CN109614959B CN201910019253.6A CN201910019253A CN109614959B CN 109614959 B CN109614959 B CN 109614959B CN 201910019253 A CN201910019253 A CN 201910019253A CN 109614959 B CN109614959 B CN 109614959B
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 63
- 238000012545 processing Methods 0.000 claims abstract description 41
- 238000010191 image analysis Methods 0.000 claims abstract description 39
- 239000013589 supplement Substances 0.000 claims abstract description 39
- 238000012216 screening Methods 0.000 claims abstract description 16
- 201000010099 disease Diseases 0.000 claims description 42
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 42
- 206010070834 Sensitisation Diseases 0.000 claims description 4
- 230000008313 sensitization Effects 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 3
- 238000005267 amalgamation Methods 0.000 claims 1
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- 230000001502 supplementing effect Effects 0.000 description 5
- 230000002457 bidirectional effect Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
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- 206010034972 Photosensitivity reaction Diseases 0.000 description 2
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- 230000003760 hair shine Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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Abstract
The invention discloses a highway bridge floor image acquisition method in the technical field of image acquisition, which comprises a camera, wherein the camera is electrically connected with an image screening module, the image screening module is electrically connected with a temporary storage module, a picture comparison module is electrically connected with an image splicing module, a central processing unit is electrically connected with a camera control module, the camera control module is electrically connected with the camera, an image analysis module is electrically connected with the central processing unit, the central processing unit is electrically connected with a light supplement lamp control module, the light supplement lamp control module is electrically connected with a light ray analysis module, and the light supplement lamp control module is electrically connected with a light supplement lamp.
Description
Technical Field
The invention relates to the technical field of image acquisition, in particular to a highway bridge deck image acquisition method.
Background
The national investment on national infrastructure is huge, particularly, after bridge construction and road repair are carried out, the health of the bridge needs to be monitored in real time after the bridge is supposed, and in the traffic use process of a few bridges, cracks, ruts, congestion, pits and other diseases appear on the bridge floor to different degrees, so that considerable economic loss is caused, and traffic accidents can also occur in serious cases. Therefore, monitoring, evaluation and daily maintenance of bridge deck quality are very important, most of detection modes in China still adopt manual on-site judgment at present, problems are not found timely in the mode, efficiency is low, and on-site judgment can be carried out only at the opportunity that traffic flow is small and road pavement occupation is small due to the fact that manual on-site judgment is needed, so that real-time judgment is difficult to carry out and the road pavement cannot be detected timely.
Secondly, some bridge detection in the prior art adopts a modern detection mode, a monitoring camera is arranged on the surface of the bridge, images are obtained through shooting of the camera, and then the images are analyzed to find diseases, but the images are often unclear and are influenced by weather and light factors.
In addition, since the disease is only found in the picture, but the display of the picture is not easy to correspond to the front position of the actual road, and the position of the picture is often needed to be carefully corresponded according to the picture, which leads to that the actual disease position is difficult to be found on the actual road surface even after the disease is known, therefore, a positioning module is expected to be provided, which can realize the combination of positioning and shooting, and how to count positioning data in the shot image, so that the specific position with the problem can be quickly inquired through the picture, the positioning is carried out, the actual disease position of the road can be quickly found, the road maintenance is carried out, and the maintenance timeliness is improved.
In addition, in the prior art, many pictures are taken, and then the pictures are manually analyzed to find, detect and judge whether the road surface has diseases or not and find out the position, but the frequency of detecting the bridge diseases is high, so that a plurality of pictures are necessarily taken, and for analysis, the taken pictures are manually analyzed, so that the detection and judgment of the road surface are very difficult and the efficiency is low due to low manual efficiency and a plurality of taken pictures; therefore, it is desirable to provide a display that can realize virtual reality, that is, a display system that can display a problem area of shooting and display the problem area on a map, thereby increasing the visualization effect of the image acquisition system to add new technical effects.
In addition, when the image of the road deck is obtained, because the back-and-forth moving automobiles and other operating vehicles inevitably exist on the road, and the back-and-forth moving automobiles and the operating vehicles inevitably block the shot road surface, the shot road surface cannot be shot perfectly, blind areas which cannot be found exist, and the situation that road surface diseases are found incompletely is inevitably caused, so that the intelligent and fine image comparison analysis and splicing are hoped to be carried out, and the blocked defects are reduced.
Based on the above technical problem, it is desirable to provide a more efficient road deck image acquisition system and method so as to overcome the above-mentioned drawbacks.
Disclosure of Invention
The invention aims to provide a highway bridge deck image acquisition method, which realizes the position combination of a shot image and a real scene through the combined action of a positioning device and a shooting system, thereby helping maintenance personnel to quickly find out disease information and obtain a specific position, obviously highlighting the disease acquired by the acquisition system through a display module, and reducing the simple and complicated labor of manual judgment according to pictures.
In order to achieve the purpose, the invention provides the following technical scheme: a road deck image acquisition method includes an image acquisition system, the image acquisition system including: the camera comprises a camera, an image screening module (2), a temporary storage module (3), an image analysis module (4), a picture comparison module (5), an image splicing module (6), a position analysis module (7), a positioning module (8), a central processing unit (9), a camera control module (10) and a display module (14), wherein the camera is electrically connected with the image screening module in an output mode, the image screening module is electrically connected with the temporary storage module in an output mode, the temporary storage module is electrically connected with the image analysis module and the picture comparison module in an output mode, the picture comparison module is electrically connected with the image splicing module in an output mode, the image analysis module is electrically connected with the position analysis module in a bidirectional mode, the image analysis module is electrically connected with the picture comparison module in an output mode, the image analysis module is electrically connected with the positioning module in a bidirectional mode, the positioning module is electrically connected with the central processing unit in an output mode, the central processing unit is electrically connected with the camera control module in an output mode, the central processing unit is electrically connected with the light supplementing control module, the light control module is electrically connected with the light analysis module in an input mode, and the light supplementing module is electrically connected with the light output connection with the lamp;
the display module (14) is respectively and electrically connected with the image splicing module (6) and the image analysis module (7), so that positioning information is added to the image synthesized by the image splicing module, the corresponding image with the disease and the corresponding position information can be displayed on the display module, and when a pointer of the control system stays at the position of the image, the display system automatically prompts the coordinate position information of the pointer;
the display module (14) can analyze the spliced image, analyze the disease position in the image, label the disease position and the disease size of the image, and display the image in a surrounding manner by a prominent color and a curve, so that the disease information can be shown obviously; in addition, the display module also displays the disease position and the disease size in a document form, so that a user can quickly read the disease information; in addition, the display module (14) has a screen capture function, and can capture the information displayed by the display module in real time, so that chart information and disease document information are output;
the method comprises the following steps of:
s1, a camera simultaneously shoots a plurality of pictures at a specific time period, the discharged pictures are screened through an image screening module, the pictures which are good in exposure quality and are not shielded by vehicles are transmitted to a temporary storage module to be temporarily stored, an image analysis module analyzes the sensitization and the shadow of the pictures stored in the temporary storage module, identifies the areas which are not well exposed in the pictures, identifies the specific positions of the pictures according to the information of the pictures, and transmits the exposure information and the positions to a central processing unit;
s2, the central processing unit generates a command, controls the camera to shoot again through the camera shooting control module, generates a control command when the shadow analysis module detects large-area shadows, controls the light supplementing lamp to illuminate the shadow area through the light supplementing lamp control module, detects the light intensity through the light analysis module, assists the light supplementing lamp to reach a balanced state, and controls the camera to shoot again;
s3, the image analysis module transmits the pictures to a picture comparison module for comparison, selects the pictures with the closest light rays for splicing, replaces the shadow positions, and finally forms complete pictures;
s4, the image splicing module (6) comprises a grid dividing module (61), a ROM (read only memory) (62), a grid replacing module (63) and a moving object identification module (64), the grid dividing module (61) divides the shot image into grids with proper sizes, the divided grid images are transmitted to the ROM (62) and the moving object identification module (64), the moving object identification module (64) judges whether moving objects exist or not one by one grid, if moving objects are stored, the picture in the step S3 is obtained again, the image splicing module specially obtains the picture without the moving objects and transmits the picture to the grid replacing module so as to replace the image of the grid, and if the obtained image is unqualified, the image is obtained again until the ROM (62) finally stores the image without the moving objects.
Preferably, the image analysis module comprises a calling module, and the calling module is electrically connected with the photosensitive analysis module, the vehicle identification module, the shadow analysis module and the region identification module in an output mode.
Preferably, the calling module is electrically connected with the temporary storage module in an input mode, the photosensitive analysis module and the vehicle identification module are both electrically connected with the central processing unit in an output mode, the shadow analysis module is electrically connected with the position analysis module in an output mode, and the shadow analysis module is electrically connected with the central processing unit in an output mode.
Preferably, the central processing unit comprises a light ray analysis module and a position analysis module, and the light ray analysis module and the position analysis module are both electrically output and connected with the control module.
Preferably, the light analysis module is electrically connected with the image analysis module in an input mode, the position analysis module is electrically connected with the positioning module in an input mode to acquire position information, and the control module is electrically connected with the camera shooting control module and the light supplement lamp control module in an output mode.
Preferably, the equal equidistance of camera and light filling lamp sets up in the both sides of bridge floor, and the camera is 360 adjustable cameras.
Preferably, the light filling lamp is 360 adjustable light filling lamps, and light filling lamp control module includes light intensity control module and shines angle control module, and light intensity control module and the equal electric output connection light filling lamp of angle control module that shines.
Preferably, the display module can manually identify, so that an area needing important attention can be identified, and the disease condition of the area needing important attention can be known.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through shooting a plurality of pictures, automatically identifying the positions and shadow areas of the pictures and matching the pictures with similar photosensitivity, the quality of the pictures is enhanced, a high-quality bridge deck image can be obtained in a short time, the bridge deck abnormality can be conveniently found in time, the maintenance effect is increased, and the occurrence probability of traffic accidents is reduced;
2. according to the invention, the position of underexposure or the shadow area in the picture is analyzed by the image analysis module, and the central processing unit can control the light supplement lamp to supplement light for irradiation through the light supplement lamp control module, so that the underexposure problem is relieved to the maximum extent, the quality of the picture is increased, and the influence of weather and light on the quality of the picture is reduced to the maximum extent;
3. the method can perform gridding division on the shot pictures, so that a virtual road picture without moving vehicles is formed at the splicing position of a plurality of pictures, and the disease observation is clearer.
Drawings
FIG. 1 is a schematic diagram of a road deck image acquisition method according to an embodiment of the invention;
fig. 2 is a schematic block diagram of an image analysis module of a method for acquiring an image of a bridge deck according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a central processing unit of a road deck image acquisition method according to an embodiment of the present invention;
FIG. 4 is a flow chart of a road deck image acquisition method according to an embodiment of the invention;
fig. 5 is a schematic block diagram of an image mosaic module of a road deck image acquisition method according to an embodiment of the present invention.
In the figure: 1. a camera; 2. an image screening module; 3. a temporary storage module; 4. an image analysis module; 41. a calling module; 42. a light sensing analysis module; 43. a vehicle identification module; 44. a shadow analysis module; 45. a region identification module; 5. a picture comparison module; 6. an image stitching module; 61. a mesh division module; 62. a ROM memory; 63. a grid replacement module; 64. a mobile object identification module; 7. a location analysis module; 8. a positioning module; 9. a central processing unit; 91. a light ray analysis module; 92. a location analysis module; 93. a control module; 10. a camera control module; 11. a light supplement lamp control module; 12. a light ray analysis module; 13. a light supplement lamp; 14. and a display module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In one embodiment, please refer to fig. 1 to 3, the present invention provides a technical solution: a road deck image acquisition method includes an image acquisition system, the image acquisition system including: the camera 1, the image screening module 2, the temporary storage module 3, the image analysis module 4, the picture comparison module 5, the image splicing module 6, the position analysis module 7, the positioning module 8, the central processing unit 9, the camera control module 10 and the display module 14, the camera 1 is electrically connected with the image screening module 2 for screening the image of the camera 1 to screen the image without vehicle shielding, the image screening module 2 is electrically connected with the temporary storage module 3 for temporarily storing the screened image in the temporary storage module 3 for standby, the temporary storage module 3 is electrically connected with the image analysis module 4 and the picture comparison module 5, the image analysis module 4 respectively analyzes the sensitivity, the position and the shadow area of the image of the camera 1, the picture comparison module 5 is electrically connected with the image splicing module 6 for splicing the processed images, forming a high-quality complete bridge deck image, wherein the image analysis module 4 is electrically connected with the position analysis module 7 in a bidirectional way, analyzing the position of pictures and facilitating splicing, the image analysis module 4 is electrically connected with the picture comparison module 5 in an output way, transmitting the pictures to the picture comparison module 5 to be compared with the pictures in the temporary storage module 3, the image analysis module 4 is electrically connected with the positioning module 8 in a bidirectional way, determining the position of a shadow and transmitting the data to the central processing unit 9, the positioning module 8 is electrically connected with the central processing unit 9 in an output way, the central processing unit 9 respectively controls the camera shooting control module 10 and the light supplement lamp control module 11 according to the data in the image analysis module 4 and the picture comparison module 5 to adjust the shot pictures, the central processing unit 9 is electrically connected with the camera shooting control module 10 in an output way, and the camera shooting control module 10 is electrically connected with the camera 1 in an output way, the image analysis module 4 is electrically connected with the central processing unit 9 in output, the central processing unit 9 is electrically connected with the light supplement lamp control module 11 in output, the light supplement lamp control module 11 is electrically connected with the light ray analysis module 12 in input, so that light supplement is balanced with the outside, and the light supplement lamp control module 11 is electrically connected with the light supplement lamp 13 in output, so that the position and the intensity of the light supplement lamp can be conveniently controlled;
the method for acquiring the image of the road bridge deck comprises the following steps:
s1, a camera 1 shoots a plurality of pictures at the same time in a specific time period, the discharged pictures are screened through an image screening module 2, the pictures which are good in exposure quality and are not shielded by vehicles are transmitted to a temporary storage module 3 to be temporarily stored, an image analysis module 4 analyzes the sensitization and shadow of the pictures stored in the temporary storage module 3, identifies areas which are not well exposed in the pictures, identifies the specific positions of the pictures according to the information of the pictures, and transmits exposure information and the position to a central processing unit 9;
s2, the central processing unit 9 generates a command, the camera 1 is controlled to shoot again through the camera control module 10, when the shadow analysis module 44 detects a large-area shadow, the central processing unit 9 generates a control command, the light supplement lamp control module 11 controls the light supplement lamp 13 to irradiate the shadow area, the light analysis module 12 detects the light intensity, the auxiliary light supplement reaches a balance state, and meanwhile, the camera 1 is controlled to shoot again;
s3, the image analysis module 4 transmits the pictures to the picture comparison module 5 for comparison, selects the pictures with the closest light rays for splicing, replaces the shadow positions, and finally forms complete pictures;
s4, the image splicing module 6 comprises a grid dividing module 61, a ROM memory 62, a grid replacing module 63 and a moving object identification module 64, the grid dividing module 61 divides the shot image into grids with proper size, the divided grid images are transmitted to the ROM memory 62 and the moving object identification module 64, the moving object identification module 64 judges whether moving objects exist in grids one by one, if moving objects are stored, the picture in the step S3 is obtained again, the image splicing module specially obtains the picture without the moving objects and transmits the picture to the grid replacing module so as to replace the image of the grid, and if the obtained image is unqualified, the image is obtained again until the ROM memory 62 stores the image without the moving objects.
In one embodiment, the display module (14) is electrically connected with the image splicing module (6) and the image analysis module (7) respectively, so that positioning information is added to the image synthesized by the image splicing module, the corresponding image with the disease and the corresponding position information can be displayed on the display module, and when a pointer of the operating system stays at the position of the image, the display system automatically prompts the coordinate position information of the pointer;
in one embodiment, the display module (14) can analyze the spliced image, analyze the disease position in the image, label the disease position and the disease size of the image, and display the image in a surrounding manner by a prominent color and a curve, so that the disease information can be highlighted; in addition, the display module also displays the disease position and the disease size in a document form, so that a user can quickly read the disease information; in addition, the display module (14) has a screen capture function, and can capture the information displayed by the display module in real time so as to output chart information and disease document information.
In one embodiment, the image analysis module 4 includes a calling module 41, where the calling module 41 is electrically connected to the sensitization analysis module 42, the vehicle identification module 43, the shadow analysis module 44, and the region identification module 45, calls a picture for detailed analysis, and adjusts shooting according to an analysis result;
in one embodiment, the retrieval module 41 is electrically connected to the temporary storage module 3, the light sensing analysis module 42 and the vehicle identification module 43 are electrically connected to the central processing unit 9, the shadow analysis module 44 is electrically connected to the position analysis module 7, and the shadow analysis module 44 is electrically connected to the central processing unit 9, so as to assist the central processing unit 9 in determining, adjusting the camera 1 and the light supplement lamp 13, and re-shooting at a specific place;
in one embodiment, the central processing unit 9 includes a light ray analysis module 91 and a position analysis module 92, both the light ray analysis module 91 and the position analysis module 92 are electrically connected to the control module 93, and the camera control module 10 and the light supplement lamp control module 11 are respectively controlled to operate through positioning and light ray analysis;
in one embodiment, the light analysis module 91 is electrically connected to the image analysis module 4 for analyzing information according to a picture, the position analysis module 92 is electrically connected to the positioning module 8, and the control module 93 is electrically connected to the camera control module 10 and the fill-in light control module 11 for controlling the camera 1 and the fill-in light 13 to shoot respectively;
in one embodiment, the camera 1 and the light supplement lamp 13 are arranged on two sides of the bridge floor at equal distance, and the camera 1 is a 360-degree adjustable camera, so that an image range can be conveniently covered on the whole bridge floor;
in one embodiment, the light supplement lamp 13 is a 360-degree adjustable light supplement lamp, the light supplement lamp control module 11 includes a light intensity control module and an irradiation angle control module, and the light intensity control module and the irradiation angle control module are electrically connected to the light supplement lamp 13, so that accurate light supplement is facilitated, and the influence of light on a picture is reduced.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through shooting a plurality of pictures, automatically identifying the positions and shadow areas of the pictures and matching the pictures with similar photosensitivity, the quality of the pictures is enhanced, a high-quality bridge deck image can be obtained in a short time, the bridge deck abnormality can be conveniently found in time, the maintenance effect is increased, and the occurrence probability of traffic accidents is reduced;
2. according to the invention, the position or shadow area of underexposure in the picture is analyzed by the image analysis module, and the central processing unit can control the light supplement lamp to perform light supplement irradiation through the light supplement lamp control module, so that the underexposure problem is alleviated to the maximum extent, the quality of the picture is increased, and the influence of weather and light on the picture quality is reduced to the maximum extent;
3. the method can perform gridding division on the shot pictures, so that a virtual road picture without moving vehicles is formed at the splicing position of a plurality of pictures, and the disease observation is clearer.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a highway bridge floor image acquisition method, includes the image acquisition system, and this image acquisition system includes camera (1), image screening module (2), temporary storage module (3), image analysis module (4), picture contrast module (5), image amalgamation module (6), position analysis module (7), orientation module (8), central processing unit (9), control module of making a video recording (10) and display module (14), its characterized in that:
the camera (1) is electrically connected with an image screening module (2), the image screening module (2) is electrically connected with a temporary storage module (3), the temporary storage module (3) is electrically connected with an image analysis module (4) and a picture comparison module (5), the picture comparison module (5) is electrically connected with an image splicing module (6), the image analysis module (4) is electrically connected with a position analysis module (7) in a two-way mode, the image analysis module (4) is electrically connected with the picture comparison module (5), the image analysis module (4) is electrically connected with a positioning module (8) in a two-way mode, the positioning module (8) is electrically connected with a central processing unit (9), the central processing unit (9) is electrically connected with a camera shooting control module (10), the camera shooting control module (10) is electrically connected with the camera (1), the image analysis module (4) is electrically connected with the central processing unit (9), the central processing unit (9) is electrically connected with a light supplement lamp control module (11), the light supplement lamp control module (11) is electrically connected with a light analysis module (12), and the light supplement lamp control module (11) is electrically connected with a light supplement lamp (13);
the image acquisition steps are as follows:
s1, a camera (1) simultaneously shoots a plurality of pictures in a specific time period, the discharged pictures are screened through an image screening module (2), the pictures which are good in exposure quality and free of vehicle shielding are transmitted to a temporary storage module (3) to be temporarily stored, an image analysis module (4) analyzes the sensitization and shadow of the pictures stored in the temporary storage module (3), identifies the areas which are not well exposed in the pictures, identifies the specific positions of the pictures according to the information of the pictures, and transmits exposure information and the position novelty to a central processing unit (9);
s2, a central processing unit (9) generates a command, the camera (1) is controlled to shoot again through a camera shooting control module (10), when a large-area shadow is detected by a shadow analysis module (44), the central processing unit (9) generates the control command, a light supplement lamp (13) is controlled to irradiate an area of the shadow through a light supplement lamp control module (11), a light ray analysis module (12) detects the light ray intensity, auxiliary light supplement reaches a balance state, and meanwhile the camera (1) is controlled to shoot again;
s3, the image analysis module (4) transmits the pictures to the picture comparison module (5) for comparison, the pictures with the closest light rays are selected for splicing, the shadow positions are replaced, and finally complete pictures are formed;
s4, the image splicing module (6) comprises a grid dividing module (61), a ROM (read only memory) memory (62), a grid replacing module (63) and a moving object identification module (64), the grid dividing module (61) divides the shot image into grids with proper sizes, the divided grid images are transmitted to the ROM memory (62) and the moving object identification module (64), the moving object identification module (64) judges the grids one by one and sends the grid images to the grid replacing module according to the judgment condition so as to determine whether the grid images need to be replaced, and finally the ROM memory (62) stores the images formed by the moving objects.
2. A road deck image acquisition method according to claim 1, characterized in that: the image analysis module (4) comprises a calling module (41), wherein the calling module (41) is electrically connected with a photosensitive analysis module (42), a vehicle identification module (43), a shadow analysis module (44) and an area identification module (45) in an output mode.
3. A road deck image acquisition method according to claim 2, characterized in that: the calling module (41) is electrically connected with the temporary storage module (3) in an input mode, the photosensitive analysis module (42) and the vehicle identification module (43) are electrically connected with the central processing unit (9) in an output mode, the shadow analysis module (44) is electrically connected with the position analysis module (7) in an output mode, and the shadow analysis module (44) is electrically connected with the central processing unit (9) in an output mode.
4. A road deck image acquisition method according to claim 1, characterized in that: the central processing unit (9) comprises a light ray analysis module (91) and a position analysis module (92), and the light ray analysis module (91) and the position analysis module (92) are both electrically output and connected with the control module (93).
5. A road deck image acquisition method according to claim 4, characterized in that: the light ray analysis module (91) is electrically connected with the image analysis module (4) in an input mode, the position analysis module (92) is electrically connected with the positioning module (8) in an input mode to acquire position information, and the control module (93) is electrically connected with the camera shooting control module (10) and the light supplement lamp control module (11) in an output mode.
6. A road deck image acquisition method according to claim 1, characterized in that: camera (1) and light filling lamp (13) are equant apart from setting up in the both sides of bridge floor, and camera (1) is 360 adjustable cameras.
7. A road deck image acquisition method according to claim 1, characterized in that: light filling lamp (13) are 360 adjustable light filling lamps, and light filling lamp control module (11) include light intensity control module and shine angle control module, and light intensity control module and shine the equal electrical output of angle control module and connect light filling lamp (13).
8. A road deck image acquisition method according to claim 1, characterized in that: the display module can manually identify, so that areas needing important attention can be identified, and disease conditions of the areas needing important attention can be known conveniently.
9. A road deck image acquisition method according to claim 1, characterized in that:
the display module (14) is electrically connected with the image splicing module (6) and the image analysis module (7) respectively, so that positioning information is added to the image synthesized by the image splicing module, the corresponding image with the disease and the corresponding position information can be displayed on the display module, and when a pointer of the control system stays at the position of the image, the display system automatically prompts the coordinate position information of the pointer.
10. A method for obtaining an image of a road deck according to claim 9, characterized in that: the display module (14) can analyze the spliced image, analyze the disease position in the image, label the disease position and the disease size of the image, and display the image in a surrounding manner by a prominent color and a curve, so that the disease information can be displayed; in addition, the display module also displays the disease position and the disease size in a document form, so that a user can quickly read the disease information; in addition, the display module (14) has a screen capture function, and can capture the information displayed by the display module in real time so as to output chart information and disease document information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910019253.6A CN109614959B (en) | 2019-01-09 | 2019-01-09 | Highway bridge deck image acquisition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910019253.6A CN109614959B (en) | 2019-01-09 | 2019-01-09 | Highway bridge deck image acquisition method |
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