CN113946701B - Dynamic updating method and device for urban and rural planning data based on image processing - Google Patents
Dynamic updating method and device for urban and rural planning data based on image processing Download PDFInfo
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Abstract
The invention discloses a dynamic updating method and device of urban and rural planning data based on image processing, wherein the method comprises the following steps: when receiving a form image about urban and rural data input by a user, scanning the form image to obtain image data; respectively extracting update data about urban and rural changes from the image data; searching object images of objects of corresponding categories by utilizing the updated categories; and manufacturing and displaying an updated animation according to the object image and the updated numerical value, and replacing the previously stored urban and rural data by using the updated animation in the displaying process. The invention can rapidly extract the update data from the table by scanning the manually recorded data table, reduce the workload of manual operation, improve the processing efficiency of the data, reduce the error probability and improve the accuracy of data update, and can dynamically display based on the real object transition corresponding to the update data so as to realize the effect of dynamic update display and improve the use experience of users.
Description
Technical Field
The invention relates to the technical field of urban and rural data display processing, in particular to a dynamic updating method and device of urban and rural planning data based on image processing.
Background
Along with the rapid development of economy, in order to improve the living standard of vast people, each great province or city is connected with the city at present, and the inside and outside of the village are corrected, so that each village can carry out city construction.
In the reconstruction and construction process, the original urban and rural data and the existing urban and rural data are required to be collected, and when the data update is realized, the two types of urban and rural data can be utilized for carrying out various investigation, deduction, planning and display so as to record the sequential process of the whole urban and rural development. Because the current village and town equipment is relatively behind, technicians in villages and towns fill data in the form by hands and store the data after filling, and finally, the technicians re-add the recorded data into a background server and the server performs simple data replacement so as to realize data updating and displaying.
However, the current common data updating method has the following technical problems: the workload of the hand record is increased, the processing time is increased, the processing efficiency is also reduced, the error is easy to occur in the hand record, the accuracy of the updated data is reduced, the displayed data is only replaced by simple data after the updating process, the viewing desire of a user and an auditor is further reduced, and the use experience of the user is reduced.
Disclosure of Invention
The invention provides a dynamic updating method and device of urban and rural planning data based on image processing.
A first aspect of an embodiment of the present invention provides a method for dynamically updating urban and rural planning data based on image processing, where the method includes:
when receiving a form image about urban and rural data input by a user, scanning the form image to obtain image data;
respectively extracting update data about urban and rural changes from the image data, wherein the update data comprises update categories and update numerical values;
searching object images of objects of corresponding categories by utilizing the updated categories;
and manufacturing and displaying an updated animation according to the object image and the updated numerical value, and replacing the previously stored urban and rural data by using the updated animation in the displaying process.
In a possible implementation manner of the first aspect, the object image includes a plurality of object images, each of which corresponds to a category object of a time node;
the step of producing and displaying an update animation according to the object image and the update value comprises the following steps:
respectively intercepting contour data of each object image to obtain a plurality of contour data;
constructing an animation model according to the change time sequence of the plurality of profile data, wherein the change time sequence is obtained after the time nodes of the plurality of profile data are arranged;
and making and updating animation by utilizing the animation model and the updated numerical value.
In a possible implementation manner of the first aspect, the searching the object image of the object of the corresponding category by using the update category includes:
acquiring a category number of the update category;
searching a corresponding target category list in a preset database by using the category number, wherein the preset database comprises a plurality of category lists, and each category list records a plurality of category objects;
extracting a plurality of target class objects contained in the target class list;
and respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
In a possible implementation manner of the first aspect, after the step of intercepting contour data of each object image to obtain a plurality of contour data, the method further includes:
respectively acquiring first profile data and second profile data from the plurality of profile data, wherein the first profile data is the profile data of a starting time node, and the second profile data is the profile data of a stopping time node;
calculating a contour difference value based on the first contour data and the second contour data;
if the contour difference value is larger than a preset value, executing the step of constructing an animation model by the plurality of contour data according to the change time sequence of the plurality of contour data;
and if the contour difference value is smaller than a preset value, generating a contour icon by using each contour data and the corresponding updating value to obtain a plurality of contour icons, rendering and displaying the plurality of contour icons, and updating data by adopting the contour data and the updating data.
In a possible implementation manner of the first aspect, the extracting update data about urban and rural changes from the image data includes:
identifying the text of each form column in the image data to obtain a plurality of column information;
screening a plurality of target column information which is the same as the preset column information from the column information to obtain an update category;
and extracting the numerical value of each target column information to obtain updated data.
A second aspect of an embodiment of the present invention provides a dynamic updating apparatus for urban and rural planning data based on image processing, the apparatus including:
the scanning module is used for scanning the table image to obtain image data when receiving the table image about urban and rural data input by a user;
the extraction module is used for respectively extracting update data about urban and rural changes from the image data, wherein the update data comprises update categories and update numerical values;
the searching module is used for searching object images of objects of corresponding categories by utilizing the updated categories;
and the update display module is used for manufacturing and displaying an update animation according to the object image and the update numerical value, and replacing the previously stored urban and rural data by using the update animation in the display process.
In a possible implementation manner of the second aspect, the object image includes a plurality of object images, each of which corresponds to a category object of a time node;
the update presentation module is further configured to:
respectively intercepting contour data of each object image to obtain a plurality of contour data;
constructing an animation model according to the change time sequence of the plurality of profile data, wherein the change time sequence is obtained after the time nodes of the plurality of profile data are arranged;
and making and updating animation by utilizing the animation model and the updated numerical value.
In a possible implementation manner of the second aspect, the search module is further configured to:
acquiring a category number of the update category;
searching a corresponding target category list in a preset database by using the category number, wherein the preset database comprises a plurality of category lists, and each category list records a plurality of category objects;
extracting a plurality of target class objects contained in the target class list;
and respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
In a possible implementation manner of the second aspect, the apparatus further includes:
the acquisition module is used for respectively acquiring first profile data and second profile data from the plurality of profile data, wherein the first profile data is the profile data of a starting time node, and the second profile data is the profile data of a stopping time node;
a calculation module for calculating a contour difference value based on the first contour data and the second contour data;
the icon making module is used for respectively utilizing each profile data and the corresponding updating numerical value to generate a profile icon to obtain a plurality of profile icons if the profile difference value is smaller than a preset value, rendering and displaying the plurality of profile icons, and carrying out data updating by adopting the profile data and the updating data;
wherein,
and the updating display module is further configured to execute the step of constructing an animation model from the plurality of profile data according to the change time sequence of the plurality of profile data if the profile difference value is greater than a preset value.
In a possible implementation manner of the second aspect, the extracting module is further configured to:
identifying the text of each form column in the image data to obtain a plurality of column information;
screening a plurality of target column information which is the same as the preset column information from the column information to obtain an update category;
and extracting the numerical value of each target column information to obtain updated data.
A third aspect of an embodiment of the present invention provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the dynamic updating method of urban and rural planning data based on image processing when executing the program.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the dynamic updating method of urban and rural planning data based on image processing as described above.
Compared with the prior art, the method and the device for dynamically updating urban and rural planning data based on image processing provided by the embodiment of the invention have the beneficial effects that: the invention can rapidly extract the update data from the table by scanning the manually recorded data table, thereby not only reducing the workload of manual operation and improving the processing efficiency of the data, but also reducing the error probability and improving the accuracy of data update.
Drawings
Fig. 1 is a flow chart of a dynamic updating method of urban and rural planning data based on image processing according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a dynamic updating device for urban and rural planning data based on image processing according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The current common data updating mode has the following technical problems: the workload of the hand record is increased, the processing time is increased, the processing efficiency is also reduced, the error is easy to occur in the hand record, the accuracy of the updated data is reduced, the displayed data is only replaced by simple data after the updating process, the viewing desire of a user and an auditor is further reduced, and the use experience of the user is reduced.
In order to solve the above problems, a method for dynamically updating urban and rural planning data based on image processing provided in the embodiments of the present application will be described and illustrated in detail in the following specific embodiments.
Referring to fig. 1, a flow chart of a dynamic updating method of urban and rural planning data based on image processing according to an embodiment of the present invention is shown.
In this embodiment, the method is applicable to a background server, where the background server may be connected to a scanner or a terminal, and perform operations such as image scanning, information acquisition, update presentation, and the like through the scanner or the terminal.
As an example, the method for dynamically updating urban and rural planning data based on image processing may include:
s11, when receiving a table image about urban and rural data input by a user, scanning the table image to obtain image data.
In this embodiment, the user can upload the form image by himself, and the form image includes a form edited by the recording user, and various contents and data related to urban and rural areas are filled in the form.
After receiving the form image, an image scanning operation may be performed on the form image, thereby obtaining corresponding image data.
The image scanning may be performed in particular by a scanner or terminal.
And S12, respectively extracting update data about urban and rural changes from the image data, wherein the update data comprises update categories and update numerical values.
In an alternative operation mode, the image data may be read, and the text and the number thereof may be read, so as to obtain the corresponding update data.
Wherein the update category may be an updated object, such as a building, a river, a street, a green area, etc. The updated value may be a changed value corresponding to the updated object. For example, the hall door occupies 1500 square meters of land, the river extension area is 10 square meters, the number of streets is 89, the central commercial building has been built to a height of 72 meters, and so on.
Since the image data is a corresponding table, the table contains a plurality of contents, in order to accurately extract the required update data, the subsequent data processing amount is reduced to improve the data processing efficiency, in an embodiment, step S12 may include the following sub-steps:
in the substep S121, a text of each table column in the image data is identified to obtain a plurality of column information.
In actual operation, a recognition algorithm may be used to recognize the text content of each table column, and extract the text information of each column to obtain a plurality of column information.
And step S122, screening a plurality of target column information which is the same as the preset column information from the plurality of column information to obtain an update category.
Because a plurality of columns are available, useful information can be recorded, useless information conforming to or numbered or sequential can be recorded, and in order to reduce the redundancy of data, the plurality of column information can be matched with preset column information, so that a plurality of matched target column information can be screened from the plurality of column information.
Optionally, the preset column information may be adjusted according to the actual requirement of the user.
And step S123, extracting the numerical value of each target column information to obtain updated data.
After determining a plurality of target column information, the corresponding numerical value of each target column information can be extracted respectively, so that a plurality of numerical values are obtained, and the numerical values are taken as update data, wherein each numerical value corresponds to one target column information.
S13, searching object images of objects of corresponding categories by using the updated categories.
In this embodiment, each update category corresponds to an updated object, and an object image corresponding to the object may be found by the update category.
In an alternative embodiment, the object image of the object may be captured and uploaded by the user by sending a request to the user; the object image of the object may also be looked up in a database.
In actual operation, the user can collect data at intervals, can shoot an object image of the object during data collection, and meanwhile uploads the shot object image to a database through the terminal, and the server can store the object image in a classified mode according to the type of the object.
After the update category is determined, the corresponding object image is searched from the database based on the object corresponding to the update category.
In an alternative embodiment, the object image includes a plurality of object images, each of the object images corresponding to a category object of a time node. Since the user will take corresponding object images at intervals, each object image may correspond to a time node taken by the user. After a period of use, the object may correspond to a plurality of object images.
In the storing process, since more objects are contained in the update category and there are a plurality of object images corresponding to each object, in order to sort the plurality of images, a number can be added to each category of object, and the image classification storage can be performed based on the number.
And then, a plurality of objects can be manufactured into a category list, and the category list can be conveniently searched by a server and can be sent to a user for searching so as to be used for subsequent arrangement and watching by the user.
If the number of types of objects is large, a plurality of category lists may be created according to the types of objects.
In order to be able to extract object images corresponding to objects quickly from a plurality of classes of objects, step S13 may, as an example, comprise the following sub-steps:
and a substep S131, obtaining the class number of the updated class.
Specifically, the class number is a number added by the server when storing the object image corresponding to the object, the number format can be adjusted according to actual needs, each class number can correspond to one update class, and each update class is an object.
In actual operation, an object corresponding to the object image may be determined first, and based on the object, a corresponding number may be determined, and then the number may be added to the object image. When it is necessary to extract an image of its object, the number of the object may be acquired again.
And S132, searching a corresponding target class list in a preset database by using the class number, wherein the preset database comprises a plurality of class lists, and each class list records a plurality of class objects.
The target category list is a list constructed by the category of the object in the database, and the list can store one category of object.
And a substep S133, extracting a plurality of target class objects contained in the target class list.
Then, extracting a plurality of object classes from the object class list.
And step 134, respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
And finally, respectively acquiring a plurality of object images corresponding to each object, thereby obtaining a plurality of object images.
S14, manufacturing and displaying an updated animation according to the object image and the updated numerical value, and replacing the previously stored urban and rural data by using the updated animation in the displaying process.
In order to improve the updating effect of the data, the object image and the updating numerical value can be utilized for animation production, and when the updating and replacing of the data are carried out, the updating animation can be displayed, so that the dynamic updating effect is realized, and the watching desire and the using experience of a user are improved.
In one embodiment, the object image includes a plurality of object images, each of which corresponds to a category object of a time node.
To increase the presentation effect of the animation, the user may more intuitively watch the entire change process, wherein, as an example, step S14 may include the following sub-steps:
and step S141, respectively intercepting contour data of each object image to obtain a plurality of contour data.
Alternatively, the profile data may include the appearance profile, internal structure, morphological color and quantitative volume of the object, and so forth.
In actual operation, each object image may be identified and extracted, so as to obtain corresponding profile data.
And step S142, constructing an animation model according to the change time sequence of the plurality of contour data, wherein the change time sequence is obtained after the time nodes of the plurality of contour data are arranged.
Then, the acquisition time nodes of a plurality of object images corresponding to each object can be acquired, and the change time sequence of the acquisition time nodes can be determined based on the acquisition time nodes, and the change time sequence can be from ancient times to date or from ancient times to date.
An animation model may then be constructed with its contour data in its changing chronological order.
For example, there are three object images, resulting in three profile data corresponding to 2019, 2020, and 2021, respectively.
Then, according to the ancient sequence, firstly adopting contour data of 2019 to construct an animation model, then adopting contour data of 2020 to construct the animation model, and finally adopting contour data of 2021 to construct the animation model.
And S143, utilizing the animation model and the updated numerical value to manufacture updated animation.
Update data may be added to the animation model and then a plurality of animation models may be stitched, interleaved, or rendered to produce a corresponding updated animation.
In a specific implementation, the update data can be added to the corresponding animation model, and after the addition, a plurality of animation models are added with corresponding effects to obtain the updated animation.
In an alternative embodiment, the change of the object is negligible because of the small change of the object, so that the update value is small and the change of the appearance of the object is also small. The data volume is smaller, the animation changes are smaller, the user is difficult to subjectively watch the changes, and in order to enable the user to watch the changes of objects with smaller data volume more intuitively, the dynamic update of the small data volume is realized, and the use experience of the user is improved.
Wherein, as an example, after sub-step S141, the method may further comprise:
in sub-step S1401, first profile data and second profile data are respectively acquired from the plurality of profile data, where the first profile data is the profile data of the start time node and the second profile data is the profile data of the end time node.
Specifically, after a plurality of profile data are acquired, a time node of each profile data may be acquired, the time node being a time node photographed and uploaded by a user.
Contour data for the start time node and the end time node may then be extracted, where the end time node is the current time node.
Alternatively, two profile data of a preset time interval, respectively a first profile data and a second profile data, may also be used.
Step S1402, calculating a contour difference value based on the first contour data and the second contour data.
Specifically, the two profile data may be superimposed to extract non-overlapping portions of the two profile data, and the profile difference value thereof may be calculated based on the non-overlapping portions.
For example, the calculation conditions of the contour difference values thereof may include appearance, structure, color, and number, etc. The data of the non-overlapping part can be added to a pre-trained appearance neural network, a structure neural network, a color neural network and a quantity neural network, so that 4 numerical values are obtained through calculation, and then the 4 numerical values are added to obtain the contour difference value.
In the substep S1403, if the contour difference value is greater than a preset value, the step of constructing an animation model from the plurality of contour data according to the change time sequence of the plurality of contour data is performed.
If the contour difference value is greater than the preset value, the object is changed greatly, and sub-step S142 may be performed to make a corresponding animation model.
In the substep S1404, if the profile difference value is smaller than a preset value, generating profile icons by using each profile data and the corresponding update value to obtain a plurality of profile icons, rendering and displaying the plurality of profile icons, and performing data update by using the profile data and the update data.
If the profile difference value is smaller than the preset value, the object is indicated to have smaller change, and each profile data and the corresponding updated value can be manufactured into one profile icon, so that a plurality of profile icons are obtained. The icon may be made with outline data as a background and numerical value as a decoration.
And then, a plurality of outline icons can be displayed in an alternating or changing or rendering mode, so that a user can see the change, a dynamic effect is realized, and meanwhile, data updating operation can be performed.
In this embodiment, the embodiment of the present invention provides a dynamic updating method for urban and rural planning data based on image processing, which has the following beneficial effects: the invention can rapidly extract the update data from the table by scanning the manually recorded data table, thereby not only reducing the workload of manual operation and improving the processing efficiency of the data, but also reducing the error probability and improving the accuracy of data update.
The embodiment of the invention also provides a dynamic updating device of urban and rural planning data based on image processing, and referring to fig. 2, a schematic structural diagram of the dynamic updating device of urban and rural planning data based on image processing is shown.
As an example, the dynamic updating device of urban and rural planning data based on image processing may include:
a scanning module 201, configured to, when receiving a form image about urban and rural data input by a user, scan the form image to obtain image data;
an extracting module 202, configured to extract update data about urban and rural changes from the image data, where the update data includes an update category and an update value;
a searching module 203, configured to search an object image of an object of a corresponding category by using the updated category;
the update display module 204 is configured to make and display an update animation according to the object image and the update value, and replace the previously stored urban and rural data with the update animation during the display process.
Optionally, the object image includes a plurality of object images, each object image corresponds to a category object of a time node;
the update presentation module is further configured to:
respectively intercepting contour data of each object image to obtain a plurality of contour data;
constructing an animation model according to the change time sequence of the plurality of profile data, wherein the change time sequence is obtained after the time nodes of the plurality of profile data are arranged;
and making and updating animation by utilizing the animation model and the updated numerical value.
Optionally, the search module is further configured to:
acquiring a category number of the update category;
searching a corresponding target category list in a preset database by using the category number, wherein the preset database comprises a plurality of category lists, and each category list records a plurality of category objects;
extracting a plurality of target class objects contained in the target class list;
and respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
Optionally, the apparatus further comprises:
the acquisition module is used for respectively acquiring first profile data and second profile data from the plurality of profile data, wherein the first profile data is the profile data of a starting time node, and the second profile data is the profile data of a stopping time node;
a calculation module for calculating a contour difference value based on the first contour data and the second contour data;
the icon making module is used for respectively utilizing each profile data and the corresponding updating numerical value to generate a profile icon to obtain a plurality of profile icons if the profile difference value is smaller than a preset value, rendering and displaying the plurality of profile icons, and carrying out data updating by adopting the profile data and the updating data;
wherein,
and the updating display module is further configured to execute the step of constructing an animation model from the plurality of profile data according to the change time sequence of the plurality of profile data if the profile difference value is greater than a preset value.
Optionally, the extraction module is further configured to:
identifying the text of each form column in the image data to obtain a plurality of column information;
screening a plurality of target column information which is the same as the preset column information from the column information to obtain an update category;
and extracting the numerical value of each target column information to obtain updated data.
Further, an embodiment of the present application further provides an electronic device, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the dynamic updating method of urban and rural planning data based on image processing according to the embodiment when executing the program.
Further, the embodiment of the application also provides a computer readable storage medium, which stores computer executable instructions for causing a computer to execute the dynamic updating method of urban and rural planning data based on image processing according to the embodiment.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (8)
1. A dynamic updating method of urban and rural planning data based on image processing, the method comprising:
when receiving a form image about urban and rural data input by a user, scanning the form image to obtain image data;
respectively extracting update data about urban and rural changes from the image data, wherein the update data comprises update categories and update numerical values;
searching object images of objects of corresponding categories by utilizing the updated categories;
making and displaying an updated animation according to the object image and the updated value, and replacing the previously stored urban and rural data by using the updated animation in the displaying process;
the respectively extracting update data about urban and rural changes from the image data comprises the following steps:
identifying the text of each form column in the image data to obtain a plurality of column information;
screening a plurality of target column information which is the same as the preset column information from the column information to obtain an update category;
and extracting the numerical value of each target column information to obtain updated data.
2. The dynamic updating method of urban and rural planning data based on image processing according to claim 1, wherein the object image comprises a plurality of object images, each object image corresponds to a category object of a time node;
the step of producing and displaying an update animation according to the object image and the update value comprises the following steps:
respectively intercepting contour data of each object image to obtain a plurality of contour data;
constructing an animation model according to the change time sequence of the plurality of profile data, wherein the change time sequence is obtained after the time nodes of the plurality of profile data are arranged;
and making and updating animation by utilizing the animation model and the updated numerical value.
3. The method for dynamically updating urban and rural planning data based on image processing according to claim 2, wherein the searching for the object image of the object of the corresponding category using the update category comprises:
acquiring a category number of the update category;
searching a corresponding target category list in a preset database by using the category number, wherein the preset database comprises a plurality of category lists, and each category list records a plurality of category objects;
extracting a plurality of target class objects contained in the target class list;
and respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
4. The method for dynamically updating urban and rural planning data based on image processing according to claim 2, wherein after the step of intercepting the contour data of each object image to obtain a plurality of contour data, the method further comprises:
respectively acquiring first profile data and second profile data from the plurality of profile data, wherein the first profile data is the profile data of a starting time node, and the second profile data is the profile data of a stopping time node;
calculating a contour difference value based on the first contour data and the second contour data;
if the contour difference value is larger than a preset value, executing the step of constructing an animation model by the plurality of contour data according to the change time sequence of the plurality of contour data;
and if the contour difference value is smaller than a preset value, generating a contour icon by using each contour data and the corresponding updating value to obtain a plurality of contour icons, rendering and displaying the plurality of contour icons, and updating data by adopting the contour data and the updating data.
5. A dynamic updating device for urban and rural planning data based on image processing, the device comprising:
the scanning module is used for scanning the table image to obtain image data when receiving the table image about urban and rural data input by a user;
the extraction module is used for respectively extracting update data about urban and rural changes from the image data, wherein the update data comprises update categories and update numerical values;
the searching module is used for searching object images of objects of corresponding categories by utilizing the updated categories;
the updating display module is used for manufacturing and displaying an updating animation according to the object image and the updating numerical value, and replacing the previously stored urban and rural data by using the updating animation in the display process;
the extraction module is also used for:
identifying the text of each form column in the image data to obtain a plurality of column information;
screening a plurality of target column information which is the same as the preset column information from the column information to obtain an update category;
and extracting the numerical value of each target column information to obtain updated data.
6. The dynamic updating device for urban and rural planning data based on image processing according to claim 5, wherein the object images comprise a plurality of object images, each object image corresponds to a category object of a time node;
the update presentation module is further configured to:
respectively intercepting contour data of each object image to obtain a plurality of contour data;
constructing an animation model according to the change time sequence of the plurality of profile data, wherein the change time sequence is obtained after the time nodes of the plurality of profile data are arranged;
and making and updating animation by utilizing the animation model and the updated numerical value.
7. The dynamic updating apparatus for urban and rural planning data based on image processing according to claim 6, wherein the search module is further configured to:
acquiring a category number of the update category;
searching a corresponding target category list in a preset database by using the category number, wherein the preset database comprises a plurality of category lists, and each category list records a plurality of category objects;
extracting a plurality of target class objects contained in the target class list;
and respectively extracting a plurality of object images corresponding to each target class object to obtain a plurality of object images, wherein each object image corresponds to a class object of a time node.
8. The image processing-based dynamic updating apparatus for urban and rural planning data according to claim 6, further comprising:
the acquisition module is used for respectively acquiring first profile data and second profile data from the plurality of profile data, wherein the first profile data is the profile data of a starting time node, and the second profile data is the profile data of a stopping time node;
a calculation module for calculating a contour difference value based on the first contour data and the second contour data;
the icon making module is used for respectively utilizing each profile data and the corresponding updating numerical value to generate a profile icon to obtain a plurality of profile icons if the profile difference value is smaller than a preset value, rendering and displaying the plurality of profile icons, and carrying out data updating by adopting the profile data and the updating data;
wherein,
and the updating display module is further configured to execute the step of constructing an animation model from the plurality of profile data according to the change time sequence of the plurality of profile data if the profile difference value is greater than a preset value.
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