KR20210080790A - Method of Brush Drawing Effect Data Generation related to Robot Art - Google Patents

Abstract

According to an embodiment disclosed in the present document, a brush drawing effect data generation device includes: a memory; and a processor. The processor acquires an image from the memory, converts the acquired image into an image to which a brush effect is applied, extracts line segments from the converted image, and connects adjacent line segments among the line segments to generate strokes and generates drawing data related to a drawing process in units of strokes based on the generated strokes. It is possible to generate a drawing process related to an image with a brush effect applied to an input image.

Description

{Method of Brush Drawing Effect Data Generation related to Robot Art}

Various embodiments disclosed in this document are related to robot art technology.

The electronic device may convert the image into another style based on information extracted from the image. Conventional image conversion converts an input image in units of pixels and provides a converted result image, so the application range may be limited.

With the rapid development of AR/VR device and robot technology, content development and distribution based on the technology is being carried out. AR/VR devices can apply various effects based on information extracted from the image (vertex coordinates, line segments composed of vertices, etc.) rather than simply displaying the image.

As the field of robot art develops, research on the drawing process by robots is being actively conducted. For example, the robot may automatically determine a position to draw a color or a brush based on an input image, and may complete a painting by performing a drawing operation according to the determined color or position. To this end, the motion copy system records information about the drawing process of a person using a haptic device, and the robot can complete the picture by reproducing the recorded drawing process information.

Conventional robot art requires detailed process information for drawing, but it requires a motion copy system, so it has been difficult to be widely used. Alternatively, necessary process information was extracted by analyzing the image and the resulting image was generated using this, but the effect was limited by drawing a simple solid line.

Various embodiments disclosed in this document may provide an apparatus for generating brush effect drawing data capable of generating a drawing process related to an image to which a brush effect is applied to an input image.

An electronic device according to an embodiment disclosed in this document includes: a memory; and a processor, wherein the processor acquires an image from the memory, converts the acquired image into an image to which a brush effect is applied, extracts line segments from the converted image, and adjacent line segments among the line segments. may be connected to generate strokes, and based on the generated strokes, drawing data related to a drawing process in a stroke unit may be generated.

According to various embodiments disclosed in this document, a drawing process related to an image to which an effect is applied to an input image may be generated. In addition, various effects directly or indirectly identified through this document may be provided.

1 illustrates a method of generating brush effect drawing data according to an exemplary embodiment.
2 is a block diagram of an apparatus for generating brush effect drawing data according to an exemplary embodiment.
3 illustrates an edge image, an outline image, and a brush effect image according to an exemplary embodiment.
4 illustrates a process of generating a brush effect image according to an exemplary embodiment.
5 illustrates a method of reconstructing a brush effect image according to an exemplary embodiment.
6 is a diagram illustrating an example of a thinning process according to an embodiment.
7 shows an exemplary diagram of a connection point analysis process according to an embodiment.
8 is a diagram illustrating an example of a line segment thickness calculation process according to an embodiment.
9 is a diagram illustrating an example of an invalid line segment deletion process according to an embodiment.
10 is an exemplary diagram illustrating a stroke generation process according to an embodiment.
11 illustrates a programming algorithm related to a stroke generation process according to an exemplary embodiment.
12 illustrates a method of implementing a brush thickness in a drawing process according to an exemplary embodiment.
13 is an exemplary diagram illustrating a drawing process based on the upper left corner according to an exemplary embodiment.
In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

1 illustrates a method of generating drawing data for robot art according to an exemplary embodiment.

Referring to FIG. 1 , in operation 110 , the apparatus for generating brush effect drawing data may convert an input image into a brush effect image to which a brush effect is applied. For example, the apparatus for generating brush drawing data may convert the input image into a brush effect image by applying a pen style filter and a threshold filter to the input image.

In operation 120, the brush drawing data generating apparatus may analyze the brush effect image and extract line segments from the brush effect image. For example, the apparatus for generating brush drawing data may perform thinning, analysis of connection points, and line segment extraction on the brush effect image, calculate thickness information of the extracted line segment, and then generate smooth line segments through flattening. The device for generating brush drawing data may delete invalid line segments (eg, a line segment having a specified length or less) among the generated line segments.

In operation 130, the apparatus for generating brush drawing data may generate a stroke by connecting the extracted line segments. For example, the apparatus for generating brush drawing data may generate strokes by connecting adjacent line segments among the extracted line segments.

In operation 140, the apparatus for generating brush drawing data may generate drawing data related to a drawing process by rearranging the generated strokes. For example, the apparatus for generating brush drawing data may generate a drawing process by rearranging the generated strokes based on a specified reference point, and may generate drawing data related to the generated drawing process. For example, the processor 240 may determine the reference point in response to a user input or may determine a predetermined (eg, central point) of an input image as the reference point. As another example, the processor 240 may generate drawing data by converting the generated drawing process into data in a format usable by the brush drawing data generating apparatus.

According to the above-described embodiment, the device for generating brush drawing data can express (or apply) various effects to the input image, and can draw an image to which the brush drawing effect is applied on the input image without a system such as motion copying. have.

Further, according to the above-described embodiment, the apparatus for generating brush drawing data extracts line segments from an input image, generates strokes by connecting adjacent line segments, and draws data related to a drawing process in units of strokes in which the strokes are rearranged in a predetermined order. A natural drawing process can be supported by creating

2 is a block diagram of an apparatus for generating brush drawing data according to an exemplary embodiment.

Referring to FIG. 2 , the apparatus 200 for generating brush drawing data according to an embodiment may include a memory 230 and a processor 240 . In an embodiment, the apparatus 200 for generating brush drawing data may omit some components or further include additional components. For example, the brush drawing data generating apparatus 200 may further include an input device 210 and an output device 220 . In this document, a case in which the brush drawing data generating apparatus 200 further includes the input device 210 and the output device 220 will be described as an example, but the present invention is not limited thereto. In addition, some of the components of the brush drawing data generating apparatus 200 are combined to form a single object, and functions of the components prior to the combination may be performed identically. The apparatus 200 for generating brush drawing data according to an embodiment may include at least one of a VR/AR device and a robot.

The input device 210 may sense or receive a user input. For example, the input device 210 may include at least one of a touch sensor and a physical button. As another example, the input device 210 may include a camera capable of capturing an input image.

The output device 220 may output an image according to a command of the processor 240 or perform an operation according to the command. For example, when the brush drawing data generating apparatus 200 is a VR/AR device, the output device 220 may include a display that reproduces a drawing process according to the drawing data. When the brush drawing data generating device 200 is a robot capable of performing a drawing process, the output device 220 may include a robot arm. In this document, a case in which the device for generating brush drawing data 200 is a robot and the output device 220 is a device for controlling a robot arm will be described as an example.

The memory 230 may store various data used by at least one component (eg, the processor 240 ) of the brush drawing data generating apparatus 200 . Data may include, for example, input data or output data for software and related instructions. For example, the memory 230 may store at least one instruction for generating drawing data. The memory 230 may include a volatile memory or a non-volatile memory.

The processor 240 may control at least one other component (eg, a hardware or software component) of the brush drawing data generating apparatus 200 by executing at least one instruction, and perform various data processing or operations. can do. The processor 240 may include, for example, a central processing unit (CPU), a graphic processing unit (GPU), a microprocessor, an application processor, an application specific integrated circuit (ASIC), or field programmable gate arrays (FPGA). )), and may have a plurality of cores. The processor 240 may include a brush effect application unit 241 , a line segment extraction unit 243 , a stroke generation unit 245 , and a drawing data generation unit 247 . The brush effect application unit 241 , the line segment extraction unit 243 , the stroke generation unit 245 , and the drawing data generation unit 247 may each be a separate hardware module or a software module implemented by at least one processor. . For example, functions performed by the brush effect application unit 241 , the line segment extraction unit 243 , the stroke generation unit 245 , and the drawing data generation unit 247 are performed by one processor or separate processors. may be performed by In the following document, for convenience of explanation, the configuration of the brush effect application unit 241 , the line segment extraction unit 243 , the stroke generation unit 245 , and the drawing data generation unit 247 is not divided, and the processor 240 . is described as the subject.

According to an embodiment, the processor 240 may obtain an image for generating drawing data from the memory 230 . The image may be, for example, captured by a camera (input device 210 ) and stored in the memory 230 . The image may be obtained from another device for generating brush drawing data, for example, through a communication channel. In this case, the brush drawing data generating apparatus 200 may further include a communication circuit.

According to an embodiment, the processor 240 (eg, the brush effect application unit 241 ) may convert the acquired image (or the input image) into a brush effect image. For example, the processor 240 may generate the brush effect image by applying a pen style filter and a threshold filter (or a Gaussian blur filter). For example, the processor 240 converts the acquired image into a gray image (or a monochrome image), collects recognition information after applying a Gaussian filter to the gray image, and applies a threshold to the recognition information You can create effect images. In this regard, the processor 240 may convert the acquired image into a brush effect image based on an illustration technique for generating a black-and-white image based on Brightness Perception according to a caricature production technique announced in 2004 by Bruce Gooch.

According to an embodiment, the processor 240 (eg, the line segment extractor 243 ) extracts a line segment from the brush effect image through thinning and connection point analysis of the brush effect image, and reconstructed based on the extracted line segment. You can create a brush effect image. For example, the processor 240 may generate a thin line along the center line of the brush touch area in the brush effect image. The processor 240 may extract points included in the generated thin line, and classify the extracted points into one type of an endpoint, a connection point, and a branch point according to a shape in which the extracted points are connected to neighboring points. The end point may be a point connected thereto with one point, the connection point may be a point having two points connected thereto, and the branch point may be a point with three or more points connected thereto. The processor 240 may extract line segments from the thin line based on the connectedness of the classified points. The processor 240 may generate a mask image by inverting the brush effect image, superimpose the extracted line segments on the mask image, and then generate an overlapping image. The processor 240 may calculate thickness (or diameter) information of all points constituting a line segment of a region to which each point belongs in the overlapping image. The processor 240 calculates, for example, a distance from each point constituting a line segment in the overlapping image to the nearest black pixel, and line segment thickness information (eg, twice the calculated distance) based on the calculated distance. can be calculated. The processor 240 may generate a smooth line segment by flattening the line segments based on the calculated thickness information (or reducing thickness information deviation between adjacent points). The processor 240 may reconstruct the brush effect image by deleting a line segment having a length less than a specified length among the generated line segments as noise. In this regard, the processor 240 may determine the number of points constituting the line segment as the length of the line segment.

According to an embodiment, the processor 240 (eg, the stroke generator 245 ) may generate strokes related to a drawing process by connecting adjacent line segments among line segments included in the reconstructed brush effect image. For example, the processor 240 may determine a line segment to be included in one stroke based on an angle between adjacent line segments. For example, when one line segment is adjacent to a plurality of other line segments, the processor 240 checks a bending degree (eg, an angle) of a point where one line segment and a plurality of other line segments meet, and a plurality of other line segments Strokes may be sequentially generated by connecting a line segment having a relatively large degree of bending identified among the line segments with one line segment. When there are no more line segments adjacent to the generated stroke or the maximum number of line segments to be included in one stroke is exceeded, the processor 240 may end the stroke generation process for the currently generating stroke. The processor 240 may generate strokes for all the line segments included in the reconstructed brush effect image by performing the above-described operation on other line segments not included in the stroke.

According to an embodiment, the processor 240 (eg, the drawing data generator 247 ) may generate a drawing process by rearranging the strokes generated based on the specified reference point. The reference point is called a pivot, and may be designated, for example, as an upper left point (upper left), an upper right point (upper right), or a center point. The reference point may be designated by a user through the input device 210 . When the input image includes a face, the processor 240 may determine the reference point, such as a center point of the face, through face detection. In an embodiment, the processor 240 may generate drawing data in a specified format related to the generated drawing process. The specified format may be various formats capable of reproducing or reproducing the drawing process.

According to an embodiment, since the input image follows the image coordinate system, the re-ordered strokes may have only (x, y) values. In order to generate a drawing process capable of reproducing or reproducing strokes of various thicknesses, the processor 240 may determine a z value associated with each point included in the strokes based on the calculated line segment thickness information. For example, the processor 240 determines the degree of brush pressure (eg, the force of pressing the brush) by the robot arm based on the line segment thickness information, and a drawing process in which the degree of brush pressure can be adjusted through the output device 220 . can create

According to the above-described embodiment, the brush drawing data generating apparatus 200 may express (or apply) various effects to the input image without drawing directly on the input image, and may apply various effects to the input image without a system such as motion copying. effects can be applied.

Further, according to the above-described embodiment, the brush drawing data generating apparatus 200 extracts a line segment from an input image, generates strokes by connecting adjacent line segments, and re-orders the strokes in a stroke unit drawing process. By generating related drawing data, a natural drawing process can be performed.

Also, according to the above-described embodiment, the brush drawing data generating apparatus 200 may adjust the thickness of the line segment of the drawing drawn as the drawing process is performed by adjusting the area in which the brush touches the ground according to the degree of the brush pressure.

3 illustrates an edge image, an outline image, and a brush effect image according to an exemplary embodiment.

Referring to FIG. 3 , an edge image 320 may be generated from an input image 310 by existing methods (known techniques) or a contour image 330 may be generated. However, since a lot of noise is extracted from the edge image 320 in addition to the feature line, it is necessary to classify the effective edge and the noise among the extracted edges. Also, although the contour image 330 has relatively little noise, it may be difficult to recognize the contour (eg, face) of the object from the contour image.

Contrary to this, the processor 240 according to an exemplary embodiment converts the input image into the brush effect image 340 and generates a drawing process based on the brush effect image 340, thereby changing the feature lines of the input image and the thickness of the feature lines. can be properly expressed.

4 illustrates a process of generating a brush effect image according to an exemplary embodiment.

Referring to FIG. 4 , the processor 240 according to an exemplary embodiment may generate a pen-style image 420 by converting an input image 410 into a monochrome image (or a gray image). After applying the Gaussian filter to the pen style image 420 , the processor 240 may collect recognition information and apply a threshold to the recognition information to generate the brush effect image 430 . The recognition information may be, for example, weight accumulation of a difference between pixel values before and after application of the Gaussian filter. In this regard, the processor 240 may convert the acquired image into a brush effect image based on an illustration technique for generating a black-and-white image based on Brightness Perception according to a caricature production technique announced in 2004 by Bruce Gooch.

5 is a diagram illustrating a method of reconstructing a brush effect image according to an embodiment, and FIGS. 6, 7, 8, and 9 are diagrams for explaining a line segment extraction process based on a brush effect image according to an embodiment.

5 and 6 , in operation 510 , the processor 240 may thin the brush effect image. For example, the processor 240 may generate a thin line (eg, a red solid line of FIG. 6 ) along a center line of the brush touch area (eg, a black region of FIG. 6 ) in the brush effect image.

5 and 7 , in operation 520 , the processor 240 extracts points from the generated thin line, and selects the extracted points as endpoints (eg, in FIG. 7 ) according to a shape in which the extracted points are connected to surrounding points. yellow dots), connection points (eg, white dots in FIG. 7 ), and branching points (eg, red dots in FIG. 7 ).

In operation 530, the processor 240 may extract points as connected line segments based on the classified points. For example, the processor 240 separates each line segment according to the connectivity of the points and the points located at both ends of the extracted line segment. A line segment type including a connection between an end point and an end point, a connection between an endpoint and a branch point, and a connection between a branch point can be classified (or defined) as

5 and 8 , in operation 540 , the processor 240 may calculate the extracted thickness information (or point diameter information) of the line segment. For example, the processor 240 generates a mask image 810 by inverting the brush effect image, and superimposes an image 820 including extracted line segments (solid brown lines in FIG. 8 ) on the mask image 810 . can do. The processor 240 may calculate a distance from each point constituting a line segment in the overlapped image 830 to the nearest black pixel, and may calculate line segment thickness information based on the calculated distance. The processor 240 may calculate, for example, twice the calculated distance as line segment thickness information. For another example, the processor 240 may calculate the distances from each of the points to two relatively close black pixels (pixels of the mask image), and calculate the line segment thickness information by summing the calculated distances. have. Thereafter, the processor 240 may generate smooth line segments by flattening the extracted line segments based on the calculated thickness information.

5 and 9 , in operation 550 , in operation 550 , the processor 240 considers a line segment having a length less than or equal to a specified length in the image 910 including the generated line segments as noise (or invalid line segment) and deletes it and reconstructs it. A brush effect image 920 may be generated. For example, the processor 240 may determine the number of points constituting the line segment as the length of the line segment.

10 shows an exemplary diagram for explaining a stroke generating process according to an embodiment, and FIG. 11 shows a programming algorithm related to a stroke generating process according to an embodiment. In the case of FIG. 10 , the image including the line segments of the right eye region in FIG. 8 ( 810 of FIG. 8 ) may be enlarged and then inverted. In FIG. 11 , some texts may be descriptions of a programming algorithm.

10 and 11 , the processor 240 may generate strokes related to a drawing process by connecting adjacent line segments among line segments included in the reconstructed brush effect image.

Referring to FIG. 10 , it can be seen that the right eye is composed of all seven line segments. In case of drawing in line segment units, line segments can be drawn with a total of 7 strokes. However, according to an embodiment, the processor 240 may support drawing the right eye with three brush strokes as the seven line segments are generated as three strokes to generate a drawing process in stroke units. To this end, the processor 240 generates one stroke including the line segment ①, the line segment ②, the line segment ③ and the line segment ④, generates two strokes including the line segment ⑤ and the line segment ⑥, and generates three strokes including the line segment ⑦. As it is generated, a total of 3 strokes can be generated for the right eye.

Referring to FIG. 11 , when connecting adjacent line segments, the processor 240 may determine a line segment to be included in one stroke based on an angle between the adjacent line segments. For example, when starting from the line segment ①, the processor 240 may select, as the next line segment, a line segment ② having a relatively less curved stroke among other line segments adjacent to the line segment ① and a line segment ② and a line segment ③. In this regard, since the angle at the point where the line segments ① and ② meet is greater than the angle at the point where the line segments ① and ⑤ meet, the degree of bending of the stroke may be small. Accordingly, the processor 240 may select the line segment ② having a small degree of bending as the next line segment. Similarly, the processor 240 may select the line segment ③ as the next line segment of the line segment ②, and select the line segment ④ as the next line segment of the line segment ③. Since there is no other line segment connected to the line segment ④, the processor 240 may generate one stroke including the line segment ①, the line segment ②, the line segment ③ and the line segment ④ without connecting the additional line segments. Subsequently, the processor 240 may continue the stroke generation process for the line segments ⑤ to ⑦ that are not generated as a stroke.

Thereafter, the processor 240 may generate a drawing process by reordering the generated strokes based on the designated reference point, and may generate drawing data in a designated format related to the drawing process. The reference point may be, for example, an upper left point, an upper right point, or a center point.

12 illustrates a method of implementing a brush thickness in a drawing process according to an exemplary embodiment.

Referring to FIG. 12 , the processor 240 may determine the degree of brush pressure related to the drawing process based on the thickness information of the line segments. Since the input image follows the image coordinate system, the generated strokes may have only (x, y) values. The processor 240 may determine z-values of points included in each stroke based on the line segment thickness information. For example, the processor 240 may determine the degree of brush pressure (eg, the force of pressing the brush) by the robot arm based on the line segment thickness information, and associate the determined degree of brush pressure with points included in each stroke. . Accordingly, the processor 240 may generate a drawing process in which the degree of brush pressure can be adjusted through the output device 220 . Accordingly, the processor 240 may generate a drawing process capable of drawing line segments of various thicknesses, unlike the prior art in which a drawing process is generated only with line segments of a certain thickness. According to the above-described embodiment, when performing a drawing process based on drawing data, the processor 240 may adjust the thickness of the line to be drawn by adjusting the area where the brush touches the ground according to the degree of brush pressure.

13 is an exemplary diagram illustrating a drawing process based on the upper left corner according to an exemplary embodiment.

Referring to FIG. 13 , the processor 240 may sequentially perform a drawing process on the re-ordered strokes based on the upper left corner through the output device 220 . For example, the processor 240 may sequentially draw the re-ordered strokes through the robot arm. As another example, the processor 240 may sequentially display the re-ordered strokes through the display.

According to an embodiment, the apparatus for generating brush drawing data (eg, the apparatus 200 for generating brush drawing data of FIG. 2 ) includes a memory (eg, the memory 230 of FIG. 2 ); and a processor (eg, the processor 240 of FIG. 2 ), wherein the processor obtains an image from the memory, extracts line segments from the obtained image, and connects adjacent line segments among the line segments to create a may be generated, and drawing data related to a drawing process in units of strokes may be generated based on the generated strokes.

The processor may convert the acquired image into a brush effect image and extract the line segments from the brush effect image.

The processor may generate the brush effect image by applying a pen style filter and a threshold filter to the acquired image.

The processor may thin the brush effect image to extract points, and extract line segments based on the connectivity of the extracted points.

The processor may perform thinning along a center line of the brush touch area in the brush effect image.

The processor may generate a thin line with respect to the brush effect image, classify a line segment type of the line segments based on a connection shape of the dots included in the thin line, and generate the strokes based on the line segment type. .

The processor may calculate thickness information of points constituting the extracted line segment, and generate a smooth line segment based on the line segment as the thickness information is flattened.

The processor may delete an invalid line segment having a length less than or equal to a specified length from among the extracted line segments.

The processor may determine a line segment to be included in one stroke based on an angle between the adjacent line segments.

The processor may generate the drawing process by rearranging the strokes based on a designated reference point, and may generate drawing data in a designated format related to the drawing process.

It should be understood that the various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, “A or B”, “at least one of A and B”, “at least one of A or B”, “A, B or C”, “at least one of A, B and C” and “A, Each of the phrases "at least one of B, or C" may include any one of, or all possible combinations of, items listed together in the corresponding one of the phrases. Terms such as “first”, “second”, or “first” or “second” may simply be used to distinguish the component from other components in question, and may refer components to other aspects (e.g., importance or order) is not limited. that one (eg first) component is "coupled" or "connected" to another (eg, second) component with or without the terms "functionally" or "communicatively" When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

As used herein, the terms “module,” “part,” and “means” may include units implemented in hardware, software, or firmware, and include terms such as, for example, logic, logical blocks, components, or circuits; They can be used interchangeably. A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document are stored in a storage medium (eg, internal memory or external memory) (memory 230) readable by a machine (eg, brush drawing data generating apparatus 200). It may be implemented as software (eg, a program) including one or more stored instructions. For example, a processor (eg, processor 240 ) of a device (eg, brush drawing data generating apparatus 200 ) may call at least one of one or more instructions stored from a storage medium and execute it. . This makes it possible for the device to be operated to perform at least one function according to the at least one command called. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not include a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided in a computer program product (computer program product). Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or via an application store (eg Play Store ^TM ) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a part of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. or one or more other operations may be added.

Claims (1)

A device for generating brush drawing data, comprising:
Memory; and
A processor comprising:
acquiring an image from the memory;
Converting the acquired image to a brush effect image,
Extracting line segments from the converted brush effect image,
generating strokes by connecting adjacent line segments among the line segments;
A brush drawing data generating apparatus for generating drawing data related to a stroke-by-stroke drawing process based on the generated strokes.

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