WO2021164305A1

WO2021164305A1 - Method for device for pattern rasterization, and storage medium

Info

Publication number: WO2021164305A1
Application number: PCT/CN2020/124313
Authority: WO
Inventors: 朱鹏飞; 李福卫; 浦东林; 张瑾; 邵仁锦
Original assignee: 苏州苏大维格科技集团股份有限公司
Priority date: 2020-02-17
Filing date: 2020-10-28
Publication date: 2021-08-26
Also published as: CN113269842A

Abstract

The present application relates to a method and device for pattern rasterization, and a storage medium, related to the technical field of pattern processing. The method comprises: acquiring a target to be rasterized; determining a target pattern of which the number of repetitions is greater than or equal to a preset number in the target to be rasterized; rasterizing the target pattern to produce a rasterized pattern; cutting the rasterization target to produce multiple cut areas; and with respect to each cut area, reading the rasterized pattern corresponding to the target pattern when the cut area comprise the target pattern. This solves the problem of reduced pattern rasterization efficiency due to the wastage of resources of an electronic device as a result of rasterization being performed once for every repeating target pattern; and solves the problem of the consistency of a same pattern in a same file, thus ensuring line width consistency. Because only one rasterization process needs to be performed for repeating target patterns, only the rasterized pattern needs to be called subsequently, the efficiency of rasterization is increased, and the resources of the device are saved.

Description

Graphic rasterization method, device and storage medium

This application claims the priority of the Chinese patent application whose application date is February 17, 2020 and the application number is 202010096447.9, the entire content of which is incorporated into this application by reference.

Technical field

This application relates to a graphic rasterization method, device and storage medium, and belongs to the technical field of image processing.

Background technique

The lithography equipment is an equipment that adds a desired pattern on a target part of a substrate (for example, a workpiece, an object, a display, etc.). Lithographic equipment can be used, for example, in the manufacture of integrated circuits (ICs), flat panel displays, and other devices containing fine structures. The patterning device (also called mask or reticle) in traditional lithography equipment can be used to generate a circuit pattern corresponding to a single layer of an IC (or other device), which can be imaged on a layer of radiation Sensitive material on the target part of the substrate. The patterning device may include an array of individually controllable cells instead of a mask to generate circuit patterns. Lithography systems that use such arrays are often referred to as maskless systems.

Common laser maskless direct writing lithography methods include: Digital Micromirror Device (DMD) field-by-field splicing exposure method, Acousto Optical Deflectors (AOD) and Acousto-optical Modulators, AOM) high-speed scanning method, laser beam direct focus single spot filling method, etc. The input file data format of laser direct writing lithography usually includes GDSII, Gerber, DXF, etc. The above methods all need to convert the input file format into a data format suitable for the work of the device itself, among which rasterization of the input graphics is an important step (ie, rasterization schematic diagram).

Since the laser direct writing is to write and expose area by area, the traditional rasterization method includes: cutting and dividing the entire graphic according to the set rectangular frame size, and then rasterizing the divided area graphic.

However, when multiple identical graphics exist in different regions, they may be in different rectangular frames after being cut. At this time, the rasterization in each rectangular frame in the later period will cause the same graphics to appear inconsistent in pixel size in different rectangular frames due to the existence of calculation numerical errors; at the same time, multiple repeats of the same graphics call the rasterization process multiple times, reducing the overall raster化 efficiency.

Summary of the invention

The present application provides a graphic rasterization method, device, and storage medium, which can solve the problem that the rasterization of repeated target graphics once will waste the resources of the electronic device and reduce the efficiency of graphic rasterization. Solve the problem of consistency of the same graphics in the same file, so that the consistency of the line width is guaranteed. This application provides the following technical solutions:

In a first aspect, a graphic rasterization method is provided, and the method includes:

Obtain the target to be rasterized;

Determining that the number of repetitions in the target to be rasterized is greater than or equal to a preset number of target graphics;

Performing rasterization processing on the target graphic to obtain a rasterized graphic;

Cutting the rasterized target to obtain multiple cutting regions;

For each cropping area, when the cropping area includes the target graphic, the rasterized graphic corresponding to the target graphic is read.

Optionally, the determining the target graphics whose number of repetitions in the target to be rasterized is greater than or equal to a preset number includes:

Traverse each graphic in the target to be rasterized to obtain characteristic information corresponding to each graphic;

Count the number of graphics with the same characteristic information;

When the number is greater than or equal to a preset number, it is determined that a graphic with the same characteristic information is the target graphic.

Optionally, the counting the number of graphics with the same characteristic information includes:

For each graphic in the target to be rasterized, a feature identifier of the feature information is generated after the feature information corresponding to the graphic is acquired, and the length of the feature identifiers corresponding to different feature information is the same;

Determine whether the feature identifier has been stored;

When the characteristic identifier is not stored, establishing an association relationship between the characteristic identifier, signature count, and the characteristic information, and the signature count is initialized to 1;

When the feature identifier has been stored, add 1 to the value of the signature count in the association relationship to which the feature identifier belongs;

Wherein, the value of the signature count is the number of graphics with the same characteristic information.

Optionally, the feature information includes position description information, shape description information, and size description information, and the feature identifier for generating the feature information includes:

The shape description information and the size description information in the characteristic information are calculated based on a signature algorithm to obtain a characteristic identifier corresponding to the characteristic information.

Optionally, each graphic in the target to be rasterized includes a closed polygon, the position description information includes: the coordinate position of the target node; the shape description information includes: a graphic identifier, the number of nodes; the size description information includes : The distance of other nodes relative to the target node; and/or,

Each graphic in the target to be rasterized includes a circle, the position description information includes: the coordinate position of the center of the circle; the shape description information includes: a graphic identifier; the size description information includes the radius of the circle; and/or,

Each graphic in the target to be rasterized includes a rectangle, the position description information includes: the coordinate position of the target vertex; the shape description information includes: a graphic identifier; the size description information includes the width of the rectangle and the height of the rectangle.

Optionally, the method further includes:

For each crop area, rasterize the graphics in the crop area when the crop area does not include the target graphics.

In a second aspect, a graphic rasterization device is provided, and the device includes:

The target acquisition module is used to acquire the target to be rasterized;

A graphic determining module, configured to determine the target graphic whose number of repetitions in the target to be rasterized is greater than or equal to a preset number;

The rasterization module is used to perform rasterization processing on the target graphics to obtain rasterized graphics;

The target cutting module is used for cutting the rasterized target to obtain multiple cutting regions;

The data reading module is configured to read the rasterized graphics corresponding to the target graphics when the cropped regions include the target graphics for each cropped region.

Optionally, the graphic determination module is configured to:

Count the number of graphics with the same characteristic information;

In a third aspect, a graphics rasterization device is provided, the device includes a processor and a memory; a program is stored in the memory, and the program is loaded and executed by the processor to implement the graphics raster described in the first aspect化 method.

In a fourth aspect, a computer-readable storage medium is provided, and a program is stored in the storage medium, and the program is loaded and executed by the processor to implement the graphics rasterization method described in the first aspect.

The beneficial effects of the present application are: obtaining the target to be rasterized; determining the target graphics whose repeating number is greater than or equal to the preset number in the target to be rasterized; performing rasterization processing on the target graphics to obtain the rasterized graphics; Cut to obtain multiple cropped areas; for each cropped area, read the rasterized graphics corresponding to the target graphics when the cropped area includes the target graphics; it can solve that the repeated target graphics are rasterized once and will waste electronics The resource of the equipment reduces the problem of graphics rasterization efficiency; at the same time, the target graphics are not cropped, but the corresponding rasterized graphics are read, which solves the calculation value error that should be cropped and avoids the same graphics due to cropping. The pixel size is inconsistent due to different cutting positions, which solves the problem of inconsistent line widths of the same graphics. Since the rasterization process only needs to be performed once for the repeated target graphics, and the subsequent rasterization graphics only need to be called, the rasterization efficiency can be improved and equipment resources can be saved; the consistency problem of the same graphics is solved, and the consistency of the line width is obtained. guarantee.

The above description is only an overview of the technical solutions of the present application. In order to understand the technical means of the present application more clearly and implement them according to the content of the description, the following detailed descriptions are given below with the preferred embodiments of the present application in conjunction with the accompanying drawings.

Description of the drawings

FIG. 1 is a flowchart of a graphic rasterization method provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of a target to be rasterized according to an embodiment of the present application;

Fig. 3 is a flowchart of determining a target graph provided by an embodiment of the present application;

Fig. 4 is a schematic diagram of feature information of a closed polygon provided by an embodiment of the present application;

Fig. 5 is a schematic diagram of circular characteristic information provided by an embodiment of the present application;

Fig. 6 is a schematic diagram of the characteristic information of a rectangle provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a graph feature information recording table provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of acquiring a feature identifier according to an embodiment of the present application;

Figure 9 is a schematic diagram of a graphical feature information signature table provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of a rasterization process of a target graphic provided by an embodiment of the present application;

FIG. 11 is a schematic diagram of cutting a target to be rasterized according to an embodiment of the present application;

FIG. 12 is a schematic diagram of rasterizing a target to be rasterized according to an embodiment of the present application;

FIG. 13 is a block diagram of a graphic rasterization device provided by an embodiment of the present application;

Fig. 14 is a block diagram of a graphic rasterization device provided by an embodiment of the present application.

Detailed ways

The specific implementation of the present application will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the application, but are not used to limit the scope of the application.

First, some terms involved in this application are introduced.

Rasterization: refers to the process of transforming an image into an image composed of rasters.

Rasterization rules: used to define how vector data is mapped to raster data. The raster data will be snapped to integer positions that will be subsequently culled and clipped (in order to draw the lowest number of pixels), and the per-pixel attributes will be interpolated (from the per-vertex attributes) before being passed to the pixel shader. The existing rasterization rules include: triangle rasterization rules, line rasterization rules, point rasterization rules, multi-sampling anti-aliasing rasterization rules, and so on.

Optionally, this application is described by taking an electronic device as the execution subject of each embodiment as an example. The electronic device may be a terminal or a server, and the terminal may be a computer, a mobile phone, a tablet computer, etc., and this embodiment does not affect the type of electronic device. limited. Illustratively, the electronic device is used to control the lithography system to perform laser maskless direct writing lithography.

Fig. 1 is a flowchart of a graphic rasterization method provided by an embodiment of the present application. The method includes at least the following steps:

Step 101: Obtain a target to be rasterized.

The target to be rasterized includes a plurality of graphics to be rasterized, and the graphics to be rasterized include a circle, a triangle, a rectangle, a line shape, and/or a dot shape. The type of the rasterized graphics is not limited in this embodiment. Referring to the rasterized target 21 shown in FIG. 2, the rasterized target 21 includes 3 triangles, 2 circles, and 1 rectangle.

Step 102: Determine the target graphics whose number of repetitions in the target to be rasterized is greater than or equal to a preset number.

Since the target to be rasterized may include target graphics with the same size and the same shape but with different positions, if each target graphics is rasterized once, the resources of the electronic device will be wasted and the rasterization efficiency of the graphics will be reduced.

Optionally, referring to FIG. 3, determining the target graphics whose number of repetitions in the target to be rasterized is greater than or equal to a preset number includes at least steps 31-33:

Step 31: Traverse each graphic in the target to be rasterized to obtain characteristic information corresponding to each graphic.

The feature information of the graphics includes position description information, shape description information and size description information.

Referring to Fig. 4, each graphic in the target to be rasterized includes a closed polygon (for example: the triangle in Fig. 2), the position description information includes: the coordinate position 41 of the target node; the shape description information includes: the graphic identifier 42 and the number of nodes 43( The number of triangle nodes is 3); the size description information includes: the distance 44 of other nodes relative to the target node.

Wherein, the graphic identifier is used to identify graphics with the same characteristic information, and the graphic identifier may be a randomly generated character string; or a code generated in sequence. This embodiment does not limit the generation method of the graphic identifier.

The target node is any node (or inflection point, node, etc.) on the closed polygon. Other nodes refer to all nodes on the closed polygon except the target node.

The distance of other nodes relative to the target node is represented by the difference between the x-axis coordinates of other nodes and the x-axis coordinates of the target node, and the difference between the y-axis coordinates of other nodes and the y-axis coordinates of the target node. .

And/or, referring to FIG. 5, each graphic in the target to be rasterized includes a circle, and the position description information includes: the center coordinate position 51; the shape description information includes: the graphic identifier 52; and the size description information includes the radius 53 of the circle.

And/or, referring to FIG. 6, each graphic in the target to be rasterized includes a rectangle, the position description information includes: the coordinate position 61 of the target vertex; the shape description information includes: the graphic identifier 62; the size description information includes the width 63 of the rectangle and the rectangle The height of 64.

Among them, the target vertex of the rectangle is any vertex on the rectangle, such as the left vertex.

Step 32: Count the number of graphics with the same feature information.

For each graphic in the target to be rasterized, after obtaining the feature information corresponding to the graphic, generate the feature identification of the feature information; determine whether the feature identification has been stored; when the feature identification is not stored, establish the feature identification, signature count, and feature The relationship between the information; when the feature identifier has been stored, the value of the signature count is added to the associated relationship to which the feature identifier belongs.

Among them, the initial value of the signature count is 1, and the value of the signature count is the number of graphics with the same feature information; the length of the feature identifiers corresponding to different feature information is the same. Generating the feature identifier of the feature information includes: calculating the shape description information and the size description information in the feature information based on the signature algorithm to obtain the feature identifier corresponding to the feature information.

The signature algorithm is used to convert different characteristic information into a string with the same character length. The signature algorithm includes, but is not limited to, the MD5 message digest algorithm, the SHA algorithm, etc., and this embodiment does not limit the type of the signature algorithm.

Because the signature algorithm calculates the same information for the same character string, the character string obtained for different information is different, and the shape description information and size description information of the repeated graphics in the target to be rasterized are the same, and the position description information is different. Therefore, In this embodiment, by calculating only the shape description information and the size description information, the same character string can be obtained, thereby ensuring that the repeated graphics have the same feature identifier.

Optionally, the electronic device stores the feature information in a preset graph feature information record table after acquiring the feature information corresponding to the graph. For example, referring to FIG. 7, the feature information shown in FIG. 4 is stored in the graph feature information record. The position 71 in the table obtains the characteristic information of figure 3; the characteristic information shown in Fig. 5 is stored in position 72 in the figure characteristic information record table to obtain the characteristic information of figure 2; the characteristic information shown in Fig. 6 is stored in At position 73 in the graph feature information record table, feature information of graph 1 is obtained. At this time, the feature information of the graph also includes the storage location of the corresponding feature identifier in the graph feature information record table, refer to 46 in FIG. 4; 54 in FIG. 5 and 65 in FIG. 6.

For the characteristic information of each graphic, the electronic device detects whether there is a characteristic identifier corresponding to the characteristic information; if it does not exist, it calculates the characteristic identifier corresponding to the characteristic information. Refer to the process of calculating the feature identifier corresponding to the feature information shown in FIG. 8. Figure 8 takes the characteristic information of a triangle as an example. The electronic device connects each characteristic information of the triangle end to end to obtain a character string 81, and uses the MD5 algorithm to calculate the shape description information and size description information in the character string 81, that is, except for the target in the triangle Other information other than the coordinates (96, 254) of the node is calculated to obtain the feature identifier 82. At this time, the signature count corresponding to the feature information is 1. If there is a feature identifier corresponding to the feature information, the electronic device adds 1 to the signature count in the association relationship to which the feature information belongs.

Optionally, after acquiring the feature identification and signature count, the electronic device stores the storage location of the feature identification, signature count, and feature information in a preset graphic feature information signature table to obtain one of the feature identification, signature count, and feature information. The relationship between them. For example, referring to FIG. 9, the feature identifier 82, the signature count 83 and the storage location 84 of feature information shown in FIG. 8 are stored in the location 91 of the graphic feature information signature table. The location 91 also includes a rasterized graphic storage address, and the rasterized graphic storage address is used to indicate the storage location of the corresponding graphic after rasterization. The rasterized graphics storage location is initialized to empty.

Assuming that the target to be rasterized shown in Figure 2 is traversed based on the above steps, the resulting graphic feature information record table and graphic feature information signature table are shown in Figure 10, the signature count corresponding to the triangle is 3, and the signature count to the circle is 2. The signature count of the rectangle is 1.

Step 33: When the number is greater than or equal to the preset number, determine the graphics with the same feature information as the target graphics.

The preset number is an integer such as 2, 3, etc., and this embodiment does not limit the value of the preset number.

Taking the preset number of 2 as an example, according to the signature count shown in Figure 10, it can be seen that both triangles and circles are target graphics.

Step 103: Perform rasterization processing on the target graphic to obtain a rasterized graphic.

Optionally, due to the large number of repetitions of target graphics, when rasterizing the target graphics, the electronic device may randomly select a target graphics for rasterization; or, select a target graphics at a specified position for rasterization.

Refer to 101 and 102 in FIG. 10 for the rasterized graphics obtained by rasterizing the triangles and circles shown in FIG. 10.

Step 104, cutting the rasterized target to obtain multiple cutting regions.

Assume that multiple cropped regions obtained by cropping the rasterized target shown in FIG. 2 are shown in FIG. 11.

The cutting area may be a regular pattern such as a rectangle or a polygon; or it may be an irregular pattern; different cutting areas have the same or different sizes, and this embodiment does not limit the cutting method of the electronic device.

Step 105: For each cut area, when the cut area includes the target graph, read the rasterized graph corresponding to the target graph.

Optionally, for each crop area, rasterize the graphics in the crop area when the crop area does not include the target graphics.

For example, the rectangular frame 1 shown in Figure 11 contains the graphic 3-1. It can be found from the signature table that the graphic 3-1 has been pre-rasterized, so there is no need to perform the rasterization process on the graphic 3-1, and the copy belongs to the rectangular frame directly. The internal memory data is rasterized, as shown in Figure 12. For the 1-1 graphics, since they are not pre-rasterized, the rasterization process needs to be called to complete the rasterization of the graphics.

In summary, the graphics rasterization method provided in this embodiment obtains the target to be rasterized; determines the target graphics whose number of repetitions is greater than or equal to a preset number in the target to be rasterized; and performs rasterization processing on the target graphics to obtain Rasterized graphics; cut the rasterized target to obtain multiple cropped areas; for each cropped area, read the rasterized graphics corresponding to the target graphics when the cropped area includes the target graphics; it can solve the repeated target graphics Performing rasterization once will waste the resources of electronic equipment and reduce the efficiency of graphics rasterization. At the same time, the target graphics are not cropped, but the corresponding rasterized graphics are read, which solves the calculation numerical error that should be cropped. , To avoid the inconsistent pixel size of the same graphics due to different cutting positions, and solve the problem of inconsistent line widths of the same graphics. Since the rasterization process only needs to be performed once for the repeated target graphics, and the subsequent rasterization graphics only need to be called, the rasterization efficiency can be improved and equipment resources can be saved; the consistency problem of the same graphics is solved, and the consistency of the line width is obtained. guarantee.

FIG. 13 is a block diagram of a graphic rasterization device provided by an embodiment of the present application. The device includes at least the following modules: a target acquisition module 1301, a graphics determination module 1302, a rasterization module 1303, a target cropping module 1304, and a data reading module 1305.

The target acquisition module 1301 is used to acquire the target to be rasterized;

The graphics determining module 1302 is configured to determine the target graphics whose number of repetitions in the target to be rasterized is greater than or equal to a preset number;

The rasterization module 1303 is configured to perform rasterization processing on the target graphics to obtain rasterized graphics;

The target cutting module 1304 is configured to cut the rasterized target to obtain multiple cutting regions;

The data reading module 1305 is configured to read the rasterized graphics corresponding to the target graphics for each cropped area when the cropped area includes the target graphics.

Optionally, the graph determining module 1302 is configured to:

Count the number of graphics with the same characteristic information;

For related details, refer to the above method embodiment.

It should be noted that when the graphics rasterization device provided in the above embodiment performs graphics rasterization, only the division of the above-mentioned functional modules is used for illustration. In practical applications, the above-mentioned functions can be assigned to different functions according to needs. Module completion, that is, the internal structure of the graphics rasterization device is divided into different functional modules to complete all or part of the functions described above. In addition, the graphic rasterization device provided in the above embodiment and the graphic rasterization method embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

Fig. 14 is a block diagram of a graphic rasterization device provided by an embodiment of the present application. The device includes at least a processor 1401 and a memory 1402.

The processor 1401 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 1401 may adopt at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array, Programmable Logic Array). accomplish. The processor 1401 may also include a main processor and a coprocessor. The main processor is a processor used to process data in the awake state, also called a CPU (Central Processing Unit, central processing unit); the coprocessor is A low-power processor used to process data in the standby state.

The memory 1402 may include one or more computer-readable storage media, which may be non-transitory. The memory 1402 may also include high-speed random access memory and non-volatile memory, such as one or more magnetic disk storage devices and flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 1402 is used to store at least one instruction, and the at least one instruction is used to be executed by the processor 1401 to implement the graphic raster provided in the method embodiment of the present application.化 method.

In some embodiments, the graphics rasterization apparatus may optionally further include: a peripheral device interface and at least one peripheral device. The processor 1401, the memory 1402, and the peripheral device interface may be connected by a bus or a signal line. Each peripheral device can be connected to the peripheral device interface through a bus, a signal line or a circuit board. Illustratively, peripheral devices include but are not limited to: radio frequency circuits, touch screens, audio circuits, and power supplies.

Of course, the graphics rasterization device may also include fewer or more components, which is not limited in this embodiment.

Optionally, the present application also provides a computer-readable storage medium in which a program is stored, and the program is loaded and executed by a processor to implement the graphics rasterization method of the foregoing method embodiment.

Optionally, this application also provides a computer product, the computer product including a computer-readable storage medium in which a program is stored, and the program is loaded and executed by a processor to implement the above-mentioned method embodiments Graphics rasterization method.

The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, All should be considered as the scope of this specification.

The above-mentioned embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can be made, and these all fall within the protection scope of this application. Therefore, the scope of protection of the patent of this application shall be subject to the appended claims.

Claims

A graphic rasterization method, characterized in that the method includes:

Obtain the target to be rasterized;

Determining that the number of repetitions in the target to be rasterized is greater than or equal to a preset number of target graphics;

Performing rasterization processing on the target graphic to obtain a rasterized graphic;

Cutting the rasterized target to obtain multiple cutting regions;

For each cropping area, when the cropping area includes the target graphic, the rasterized graphic corresponding to the target graphic is read.
The method according to claim 1, wherein the determining the target graphics whose number of repetitions in the target to be rasterized is greater than or equal to a preset number comprises:

Traverse each graphic in the target to be rasterized to obtain characteristic information corresponding to each graphic;

Count the number of graphics with the same characteristic information;

When the number is greater than or equal to a preset number, it is determined that a graphic with the same characteristic information is the target graphic.
The method according to claim 2, wherein the counting the number of graphics with the same characteristic information comprises:

For each graphic in the target to be rasterized, a feature identifier of the feature information is generated after the feature information corresponding to the graphic is acquired, and the length of the feature identifiers corresponding to different feature information is the same;

Determine whether the feature identifier has been stored;

When the characteristic identifier is not stored, establishing an association relationship between the characteristic identifier, signature count, and the characteristic information, and the signature count is initialized to 1;

When the feature identifier has been stored, add 1 to the value of the signature count in the association relationship to which the feature identifier belongs;

Wherein, the value of the signature count is the number of graphics with the same characteristic information.
The method according to claim 3, wherein the characteristic information includes position description information, shape description information, and size description information, and the generating of the characteristic identifier of the characteristic information includes:

The shape description information and the size description information in the characteristic information are calculated based on a signature algorithm to obtain a characteristic identifier corresponding to the characteristic information.
The method of claim 4, wherein:

Each graphic in the target to be rasterized includes a closed polygon, the position description information includes: the coordinate position of the target node; the shape description information includes: the graphic identification, the number of nodes; the size description information includes: other nodes are relative The distance to the target node; and/or,

Each graphic in the target to be rasterized includes a circle, the position description information includes: the coordinate position of the center of the circle; the shape description information includes: a graphic identifier; the size description information includes the radius of the circle; and/or,

Each graphic in the target to be rasterized includes a rectangle, the position description information includes: the coordinate position of the target vertex; the shape description information includes: a graphic identifier; the size description information includes the width of the rectangle and the height of the rectangle.
The method according to any one of claims 1 to 5, wherein the method further comprises:

For each crop area, rasterize the graphics in the crop area when the crop area does not include the target graphics.
A graphic rasterization device, characterized in that the device comprises:

The target acquisition module is used to acquire the target to be rasterized;

A graphic determining module, configured to determine the target graphic whose number of repetitions in the target to be rasterized is greater than or equal to a preset number;

The rasterization module is used to perform rasterization processing on the target graphics to obtain rasterized graphics;

The target cutting module is used for cutting the rasterized target to obtain multiple cutting regions;

The data reading module is configured to read the rasterized graphics corresponding to the target graphics when the cropped regions include the target graphics for each cropped region.
The device according to claim 7, wherein the graphic determination module is configured to:

Traverse each graphic in the target to be rasterized to obtain characteristic information corresponding to each graphic;

Count the number of graphics with the same characteristic information;

When the number is greater than or equal to a preset number, it is determined that a graphic with the same characteristic information is the target graphic.
A graphic rasterization device, characterized in that the device includes a processor and a memory; the memory is stored with a program, and the program is loaded and executed by the processor to implement any one of claims 1 to 6 The described graphics rasterization method.
A computer-readable storage medium, wherein a program is stored in the storage medium, and the program is used to implement the graphics rasterization method according to any one of claims 1 to 6 when the program is executed by a processor.