CN111145180A - Map tile processing method applied to large visual screen and related device - Google Patents
Map tile processing method applied to large visual screen and related device Download PDFInfo
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- CN111145180A CN111145180A CN201911359690.9A CN201911359690A CN111145180A CN 111145180 A CN111145180 A CN 111145180A CN 201911359690 A CN201911359690 A CN 201911359690A CN 111145180 A CN111145180 A CN 111145180A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
Abstract
The application discloses a processing method and a related device for map tiles applied to a large visual screen, wherein the method comprises the following steps: obtaining map pictures of a map to be analyzed under different scales; partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024; and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes. In the method, after the map pictures of the map to be analyzed under different scales are obtained, the map pictures of all the places are divided from the original 256 × 256 into 1024 × 1024, so that the number of tile http requests is greatly reduced when the map is displayed, the http request time is reduced, the map loading speed is increased, the technical problem that the loading speed is low when the map is displayed on a large screen by the conventional map display method is solved.
Description
Technical Field
The application relates to the technical field of visualization large screens, in particular to a map tile processing method and a related device applied to a visualization large screen.
Background
With the development of society, various map services are coming up endlessly. In the existing map service, tile technology is mainly used, that is, after an electronic map is cut into small pictures according to a certain rule, each small picture is called a tile.
In the tile technology, the map scales are arranged in the order from large to small, and the number of the corresponding tiles is pyramid. The more detailed the map information represented by the pyramid is toward the bottom layer, the larger the scale. At this time, the map picture with the largest scale is taken as the bottom layer of the pyramid, namely the 0 th layer, and is partitioned into map tiles with 256 × 256 pixels to form a 0 th layer tile matrix, on the basis of the 0 th layer map picture, the 1 st layer map picture is generated by a pixel synthesis method and is partitioned to form a 1 st layer tile matrix, the 2 nd layer tile matrix is generated by the same method, and the process is continued until the Nth 1 layer, so that the whole tile pyramid is formed.
And in the process of displaying the map, downloading the corresponding map tiles according to the received operation instruction and then displaying. The inventor finds that the method is suitable for mobile phones and computers in the process of implementing the prior art, but when the method is displayed on a large-resolution screen (called a large screen for short), the screen resolution is dozens of times of the resolution of a computer display, so that the loading speed is low.
Disclosure of Invention
The application provides a processing method and a related device for map tiles applied to a large visual screen, and solves the technical problem that the loading speed is low when the map tiles are displayed on the large screen in the existing map display method.
The application provides a processing method applied to a map tile of a visual large screen in a first aspect, and the processing method comprises the following steps:
obtaining map pictures of a map to be analyzed under different scales;
partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024;
and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
Optionally, the obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrices further includes:
compressing each tile in the pyramid of tiles to reduce a size of the tile.
Optionally, the compressing the tiles in the tile pyramid to reduce the size of the tiles specifically includes:
converting the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
Optionally, the obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrices further includes:
and when a map loading instruction is obtained, carrying out corresponding map loading according to the map loading instruction and the tile pyramid.
The second aspect of the present application provides a processing apparatus applied to map tiles of a large visual screen, including:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring map pictures of a map to be analyzed under different scales;
the segmentation unit is configured to segment each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, where the preset size is: 1024 x 1024;
and the computing unit is used for obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
Optionally, the method further comprises:
a compression unit to compress each tile in the tile pyramid to reduce a size of the tile.
Optionally, the compression unit is specifically configured to convert the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
Optionally, the method further comprises:
and the map loading unit is used for carrying out corresponding map loading according to the map loading instruction and the tile pyramid when the map loading instruction is obtained.
A third aspect of the application provides a processing apparatus for application to visualizing map tiles for large screens, comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the processing method applied to visualizing map tiles of a large screen according to the first aspect, according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program code for executing the processing method for visualizing large-screen map tiles of the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides a processing method applied to a map tile of a visual large screen, which comprises the following steps: obtaining map pictures of a map to be analyzed under different scales; partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024; and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes. In the method, after the map pictures of the map to be analyzed under different scales are obtained, the map pictures of all the places are divided from the original 256 × 256 into 1024 × 1024, so that the number of tile http requests is greatly reduced when the map is displayed, the http request time is reduced, the map loading speed is increased, the technical problem that the loading speed is low when the map is displayed on a large screen by the conventional map display method is solved.
Drawings
Fig. 1 is a schematic flowchart of a first embodiment of a processing method applied to a map tile of a large visual screen provided in the present application;
FIG. 2 is a schematic flow chart diagram illustrating a second embodiment of a processing method applied to a map tile for visualization of a large screen;
fig. 3 is a schematic structural diagram of an embodiment of a processing apparatus applied to a map tile for visualization of a large screen provided in the present application.
Detailed Description
The embodiment of the application provides a processing method and a related device for map tiles applied to a large visual screen, and solves the technical problem that the loading speed is low when the map tiles are displayed on the large screen in the conventional map display method.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1, a flowchart of a first embodiment of a processing method applied to a map tile of a large visual screen is provided.
The application provides a first embodiment of a processing method applied to a map tile of a large visual screen, which comprises the following steps:
In this embodiment, the number of tiles is reduced to reduce the number of tile http requests when a map is displayed, and to reduce the number of tiles in each level, it is necessary to re-partition pictures on each scale, so that map pictures on a map to be analyzed on different scales are obtained.
The acquisition of the map pictures at different scales in the map to be analyzed can be performed by various existing means, and is not particularly limited herein.
102, partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024*1024.
In the prior art, the partitioning of each layer of map picture is performed according to 256 × 256, so that the number of cut tiles is relatively large, and when the map display is performed, the number of tile http requests is large, which results in a slow loading speed. Therefore, in this embodiment, each layer of map picture is partitioned according to 1024 × 1024, the number of tiles of each layer obtained at this time is significantly reduced compared to that before, and when map display is performed and map loading is performed by using these tiles, the number of tile http requests is small, and the loading speed is high.
And 103, obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
It should be noted that after all the tile matrices are obtained, based on all the tile matrices, the tile pyramid corresponding to the map to be analyzed can be obtained.
In the processing method of the map tile applied to the large visual screen in the embodiment, map pictures of a map to be analyzed at different scales are obtained; partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024; and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes. In the method, after the map pictures of the map to be analyzed under different scales are obtained, the map pictures of all the places are divided from the original 256 × 256 into 1024 × 1024, so that the number of tile http requests is greatly reduced when the map is displayed, the http request time is reduced, the map loading speed is increased, the technical problem that the loading speed is low when the map is displayed on a large screen by the conventional map display method is solved.
The foregoing is a first embodiment of a processing method applied to a map tile of a large visual screen provided in the embodiments of the present application, and the following is a second embodiment of a processing method applied to a map tile of a large visual screen provided in the embodiments of the present application.
Referring to fig. 2, a flowchart of a second embodiment of a processing method applied to a map tile of a large visual screen is provided.
The application provides a second embodiment of a processing method applied to a map tile of a large visual screen, which comprises the following steps:
It should be noted that, the content of step 201 is the same as that of step 101 in the first embodiment of the present application, and specific description may refer to the content of step 101 in the first embodiment, which is not described herein again.
It should be noted that the content of step 202 is the same as that of step 102 in the first embodiment of the present application, and specific descriptions may refer to the content of step 202 in the first embodiment, which is not described herein again.
And 203, obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
It should be noted that, the content of step 203 is the same as that of step 103 in the first embodiment of the present application, and specific description may refer to the content of step 103 in the first embodiment, which is not described herein again.
And step 204, compressing each tile in the tile pyramid to reduce the size of the tile.
It should be noted that, in order to further increase the loading speed of the map picture, after the tile pyramid is obtained, the tiles in the tile pyramid are compressed to reduce the size of the tiles.
Specifically, compressing each tile in the tile pyramid to reduce the size of the tile specifically includes:
converting the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
WebP is based on block prediction, where each block is predicted from the values of its top three blocks and the value of its left block (block decoding is done in raster scan order: left to right, top to bottom). There are four basic modes for block prediction: horizontal, vertical, DC (monochrome) and TrueMotion. The data of the prediction error and the non-predicted block are compressed in 4 × 4 pixel sub-blocks using discrete cosine transform or walsh-hadamard transform. Both conversions are done using fixed point arithmetic to avoid rounding errors. With this prediction, his compression can be reduced by thirty percent to seventy percent from the original Png picture, where the quality of the picture is indistinguishable to the naked eye.
And step 205, when the map loading instruction is obtained, carrying out corresponding map loading according to the map loading instruction and the tile pyramid.
The map loading instruction may be input by a mouse, or may be input by double-clicking or zooming on a touch screen, and those skilled in the art may set the loading instruction as needed, which is not specifically limited herein.
In the processing method of the map tile applied to the large visual screen in the embodiment, map pictures of a map to be analyzed at different scales are obtained; partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024; and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes. In the method, after the map pictures of the map to be analyzed under different scales are obtained, the map pictures of all the places are divided from the original 256 × 256 into 1024 × 1024, so that the number of tile http requests is greatly reduced when the map is displayed, the http request time is reduced, the map loading speed is increased, the technical problem that the loading speed is low when the map is displayed on a large screen by the conventional map display method is solved.
The foregoing is a second embodiment of the processing method applied to a map tile with a large visual screen provided in the embodiments of the present application, and the following is an embodiment of the processing apparatus applied to a map tile with a large visual screen provided in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an embodiment of a processing apparatus for visualizing map tiles on a large screen is provided.
The application provides an embodiment of a processing device applied to map tiles of a large visual screen, comprising:
an obtaining unit 301, configured to obtain map pictures of a map to be analyzed at different scales;
a partitioning unit 302, configured to partition each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, where the preset size is: 1024 x 1024;
and the calculating unit 303 is configured to obtain a tile pyramid corresponding to the map to be analyzed based on all the tile matrices.
Further, still include:
and a compressing unit 304, configured to compress each tile in the tile pyramid to reduce the size of the tile.
Further, the compression unit 304 is specifically configured to convert the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
Further, still include:
the map loading unit 305 is configured to, when the map loading instruction is obtained, perform corresponding map loading according to the map loading instruction and the tile pyramid.
In the processing method of the map tile applied to the large visual screen in the embodiment, map pictures of a map to be analyzed at different scales are obtained; partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024; and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes. In the method, after the map pictures of the map to be analyzed under different scales are obtained, the map pictures of all the places are divided from the original 256 × 256 into 1024 × 1024, so that the number of tile http requests is greatly reduced when the map is displayed, the http request time is reduced, the map loading speed is increased, the technical problem that the loading speed is low when the map is displayed on a large screen by the conventional map display method is solved.
The embodiment of the application also provides a processing device applied to the map tile with the large visual screen.
A processing apparatus applied to visualize map tiles of a large screen in the present embodiment comprises a processor and a memory; the memory is used for storing the program codes and transmitting the program codes to the processor; the processor is configured to execute the processing method of the first embodiment or the second embodiment applied to visualizing map tiles of a large screen according to instructions in the program code.
Embodiments of the present application also provide a computer-readable storage medium.
The computer-readable storage medium in the present embodiment is configured to store program code for executing the processing method applied to visualize a map tile of a large screen of the first embodiment or the second embodiment.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A processing method applied to map tiles of a visual large screen is characterized by comprising the following steps:
obtaining map pictures of a map to be analyzed under different scales;
partitioning each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, wherein the preset size is as follows: 1024 x 1024;
and obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
2. The method for processing map tiles applied to a large visualization screen according to claim 1, wherein the obtaining a pyramid of tiles corresponding to the map to be analyzed based on all the tile matrices further comprises:
compressing each tile in the pyramid of tiles to reduce a size of the tile.
3. The processing method applied to map tiles for visualization of large screens according to claim 2, wherein said compressing each tile in the pyramid of tiles to reduce the size of the tile specifically comprises:
converting the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
4. The method for processing map tiles applied to a large visualization screen according to claim 1, wherein the obtaining a pyramid of tiles corresponding to the map to be analyzed based on all the tile matrices further comprises:
and when a map loading instruction is obtained, carrying out corresponding map loading according to the map loading instruction and the tile pyramid.
5. A processing apparatus for visualizing a large-screen map tile, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring map pictures of a map to be analyzed under different scales;
the segmentation unit is configured to segment each map picture according to a preset size to obtain a tile matrix corresponding to each map picture, where the preset size is: 1024 x 1024;
and the computing unit is used for obtaining a tile pyramid corresponding to the map to be analyzed based on all the tile matrixes.
6. The processing apparatus applied to visualize large-screen map tiles as claimed in claim 5, further comprising:
a compression unit to compress each tile in the tile pyramid to reduce a size of the tile.
7. The processing apparatus applied to map tiles for large visualization screens of claim 6, wherein the compression unit is specifically configured to convert the tiles in the tile pyramid from Png format to WebP format to reduce the size of the tiles.
8. The processing apparatus applied to visualize large-screen map tiles as claimed in claim 5, further comprising:
and the map loading unit is used for carrying out corresponding map loading according to the map loading instruction and the tile pyramid when the map loading instruction is obtained.
9. A processing apparatus for application to visualizing map tiles of a large screen, comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the processing method applied to visualizing a map tile of a large screen of any one of claims 1 to 4 according to instructions in the program code.
10. A computer-readable storage medium, characterized in that it is configured to store a program code for executing the processing method of any of claims 1 to 4 applied to visualizing a map tile of a large screen.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911359690.9A CN111145180A (en) | 2019-12-25 | 2019-12-25 | Map tile processing method applied to large visual screen and related device |
| PCT/CN2020/141500 WO2021129883A1 (en) | 2019-12-25 | 2020-12-30 | Map tile processing method and related apparatus applied to large visual screen |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911359690.9A CN111145180A (en) | 2019-12-25 | 2019-12-25 | Map tile processing method applied to large visual screen and related device |
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| CN111145180A true CN111145180A (en) | 2020-05-12 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2021129883A1 (en) * | 2019-12-25 | 2021-07-01 | 威创集团股份有限公司 | Map tile processing method and related apparatus applied to large visual screen |
| CN116541479A (en) * | 2023-07-06 | 2023-08-04 | 深圳依时货拉拉科技有限公司 | Tile data compiling method, device, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116980397B (en) * | 2023-09-25 | 2023-12-12 | 云粒智慧科技有限公司 | Tile downloading method, electronic equipment and storage medium |
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| WO2021129883A1 (en) | 2021-07-01 |
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