JP2007109177A - Image processing apparatus, its control method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processing apparatus capable of creating vector data capable of reproducing a clipart region in an original image as faithfully as possible, its control method, and a program. <P>SOLUTION: The original image is divided into region image by every attribute. A predetermined region image having a predetermined attribute of the divided region images is cut from the original image. Based on the appearance color of the cut predetermined region image, at least one representative color constituting the predetermined region image is determined. A color image having the determined representative color is extracted from the predetermined region image. A border line of the extracted color image is extracted. An edge image in the predetermined region image is extracted. Based on the extracted edge image, the extracted border line is corrected. Using corrected border line, vector data of the predetermined region image is created. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an image processing apparatus that executes image processing for converting an original image into vector data, a control method therefor, and a program.

  2. Description of the Related Art In recent years, systems for storing or transmitting electronic documents generated by digitizing documents instead of paper have become widespread due to the digitization of information. Documents to be digitized are expanding from black and white binary documents to full-color (multi-value) documents.

  The electronic document here is not limited to simply converting a document on paper into image data by an image reading device such as a scanner. The obtained document image is divided into regions for each attribute and post-processed according to each region. Includes image data. As this post-processing, for example, for a character area, there is a process of performing character recognition processing and converting it into a character code string. Also. For the line art area, there is a process of converting it into outline vector data.

  Conventionally, various attempts have been made to create such an electronic document. As a conventional example of document image area division, there is Patent Document 1.

  In Patent Document 1, a binarized image of an input color image is generated, and the binarized image is divided into areas such as a text area, a line art area, and a photograph area (picture area). It is disclosed. The area segmentation method here determines the size of the black pixel block while calculating the connectivity of the binary image, and compares each area with the characteristics of the character area, line art area, photo area, etc. It is a method of dividing.

Further, for example, Patent Literature 2 is a conventional example of outline vector conversion to be converted into outline vector data. In this patent document 2, the contour line of a binary image is traced, and the obtained contour vector is selected to vectorize the contour line. Further, by replacing the obtained vector data with a graphic command for drawing a polygon or the like, the CAD data can be used.
JP 2002-314806 A Japanese Patent No. 0288999

  Here, a sample of the document image will be described with reference to FIG.

  This document image is printed on recording paper by an output device such as a printer. In this document image, large characters such as titles and relatively small characters such as explanatory texts are configured. Further, the image is composed of a photographic image and an image (for example, an illustration image) having a relatively small number of appearance colors as compared to the photographic image (natural image). Here, an image with a relatively small number of appearance colors is called a clip art image.

  When the printed matter on which the document image is printed is read by an image reading apparatus such as an image scanner and the region division processing is executed on the read image, a text region 23, a photo region 21, and a clipart region 22 are obtained as illustrated.

  Further, with respect to the clipart area 22, another “area division process” is performed in which the same color portions are collected and combined into one area in the image constituting the area. Then, vectorization processing is executed on the obtained region of the same color. In this vectorization processing, it is conceivable to realize vectorization of each area divided for each same color in the clip art area by expressing each obtained area by its outline and internal color information. .

  However, the following problem occurs in the area dividing process in the clip art area.

  Here, this problem will be described with reference to FIG.

  FIG. 14 illustrates an example in which the clipart area is divided into areas for the same color.

  Reference numeral 30 denotes an example of an original image to be processed. Reference numeral 31 is an example of a region image (contour line image) divided by collecting the same color from the read image of the original image. Reference numeral 32 denotes an example of an edge image obtained by executing the edge extraction process of the read image.

  As illustrated, the contours of the images are different. The cause of such contour differences is the effect of level changes during reading (blurring, reading resolution, etc.) and image quality degradation due to image compression, and the color may become lighter due to density changes around the edges, This is because the contour extracted due to the influence such as the occurrence is shifted.

  Here, the contour shapes of the original image 30 and the edge image 32 are relatively close, but the contour shapes of the region image 31 and the edge image 32 (or the original image 30) are considerably different. . Therefore, even if the vectorization process is performed on the clip art area obtained in this way, the vectorization process for generating vector data capable of faithfully expressing the configuration of the original image cannot be performed.

  The present invention has been made in order to solve the above-described problem, and an image processing apparatus capable of generating vector data capable of reproducing a clip art region in an original image as faithfully as possible, and a control method thereof, The purpose is to provide a program.

In order to achieve the above object, an image processing apparatus according to the present invention comprises the following arrangement. That is,
An image processing apparatus that executes image processing for converting an original image into vector data,
Dividing means for dividing the original image into region images for each attribute;
Cutting out means for cutting out a predetermined area image having a predetermined attribute from the original image among the area images divided by the dividing means;
Determining means for determining at least one representative color constituting the predetermined area image based on the appearance color of the predetermined area image cut out by the cutting means;
Image extracting means for extracting a color image having the representative color determined by the determining means from the predetermined area image;
Contour extracting means for extracting the contour of the color image extracted by the image extracting means;
Edge image extraction means for extracting an edge image in the region image;
Correction means for correcting the contour line extracted by the contour line extraction means based on the edge image extracted by the edge image extraction means;
And generating means for generating vector data of the predetermined area image using the contour line corrected by the correcting means.

  Preferably, the generation unit obtains contour line information including a contour line corrected by the correction unit, a color and width thereof, and a drawing command for drawing a color in the contour line, as vector data of the predetermined region image. Generate as

  Preferably, the predetermined area image cut out by the cutout means is a clipart area whose number of appearing colors is equal to or less than the predetermined number of area images divided by the dividing means.

  Preferably, the correction unit generates a composite image in which the corresponding edge image is superimposed on the color image, and the contour line of the color image and the contour of the edge image are generated with respect to the composite image. A region in which both images surrounded by a line do not overlap is drawn with the color of the color image, and is corrected to the contour line of the edge image as the contour line of the composite image.

In order to achieve the above object, a method for controlling an image processing apparatus according to the present invention comprises the following arrangement. That is,
A control method for an image processing apparatus that executes image processing for converting an original image into vector data,
A division step of dividing the original image into region images for each attribute;
Of the region images divided in the dividing step, a cutting step of cutting out a predetermined region image having a predetermined attribute from the original image,
A determination step of determining at least one representative color constituting the predetermined region image based on the appearance color of the predetermined region image cut out in the cutting step;
An image extraction step of extracting a color image having the representative color determined in the determination step from the predetermined region image;
An outline extraction step of extracting an outline of the color image extracted in the image extraction step;
An edge image extraction step of extracting an edge image in the predetermined area image;
Based on the edge image extracted in the edge image extraction step, a correction step for correcting the contour line extracted in the contour line extraction step;
And a generation step of generating vector data of the predetermined area image using the contour line corrected in the correction step.

In order to achieve the above object, a program according to the present invention comprises the following arrangement. That is,
A program for controlling an image processing apparatus that executes image processing for converting an original image into vector data,
A division step of dividing the original image into region images for each attribute;
Of the region images divided in the dividing step, a cutting step of cutting out a predetermined region image having a predetermined attribute from the original image,
A determination step of determining at least one representative color constituting the predetermined region image based on the appearance color of the predetermined region image cut out in the cutting step;
An image extraction step of extracting a color image having the representative color determined in the determination step from the predetermined region image;
An outline extraction step of extracting an outline of the color image extracted in the image extraction step;
An edge image extraction step of extracting an edge image in the predetermined area image;
Based on the edge image extracted in the edge image extraction step, a correction step for correcting the contour line extracted in the contour line extraction step;
Using the contour line corrected in the correction step, the computer executes a generation step of generating vector data of the predetermined area image.

  ADVANTAGE OF THE INVENTION According to this invention, the image processing apparatus which can produce | generate the vector data which can reproduce the clip art area | region in an original image as faithfully as possible, its control method, and a program can be provided.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of an image processing apparatus according to an embodiment of the present invention.

  An image input unit 10 is an image reading apparatus such as a scanner. From here, the document image to be processed is input. An area dividing unit 11 divides an input document image into areas (for example, rectangular areas) such as a character area, a line drawing area, a table area, and a photograph area for each attribute. The remaining images other than these divided areas are set as background areas.

  Reference numeral 12 denotes a clip art area cutout unit, which further cuts out a clip art area (image) from the obtained photo area. Here, cutting out means cutting out an arbitrary area in the photographic area and cutting out the entire photographic area.

  It should be noted that the clip art area in the present invention means an image area in which the number of appearance colors is a predetermined number of colors (for example, 256 gradations) or less in the photo area. An example of such a clip art image is a computer graphic image (an image other than a natural image such as a photograph) artificially created on the image processing software by the user. That is, an image in which pixels of the same color constituting the image are not relatively discrete like a natural image corresponds to a clip art image.

  Reference numeral 13 denotes an area extraction unit that extracts a color area (color image) for each appearance color of an image constituting a clipart area. Reference numeral 14 denotes an outline extraction unit that extracts an outline for each extracted color area.

  Reference numeral 15 denotes an edge extraction unit that extracts an edge of a clip art region.

  Reference numeral 16 denotes a contour line correction unit. Based on the extraction result of the edge extraction unit 15 and the contour line extraction result of the contour line extraction unit 14, the contour line of the color region for each appearance color of the image constituting the clipart region is obtained. to correct.

  Reference numeral 17 denotes an outline information generation unit. Particularly, in this embodiment, when an outline is expressed by vector data (image description language), a description of a drawing command that defines the outline as outline information (for example, , SVG path command).

  This image processing apparatus can be realized by an information processing apparatus such as a personal computer. The information processing apparatus has standard components (for example, a CPU, a RAM, a ROM, a hard disk, an external storage device, a network interface, a display, a keyboard, and a mouse) mounted on a general-purpose computer.

  Next, vectorization processing of the clip art area will be described with reference to FIG.

  FIG. 2 is a flowchart showing vectorization processing of the clip art area according to the embodiment of the present invention.

  First, in step S100, the region extraction unit 13 selects a representative color in the clip art region. In step S101, the region extraction unit 13 executes region division using the selected representative color. In step S102, the contour extraction unit 14 performs contour extraction of the obtained region.

  In step S103, the contour correction unit 16 executes contour correction of the extracted contour line. In step S104, after executing the contour correction process, the contour information generation unit 17 vectorizes the obtained region using the selected representative color and the extracted contour line. This vectorization is realized, for example, by generating contour information in which a contour line is described with a Path command and an internal color is described with a Fill command in the description of SVG (Scalable Vector Graphics).

  The contour correcting unit 16 corrects the contour extracted by the contour extracting unit 14 based on the extraction result by the edge extracting unit 15, thereby faithfully reproducing the contour of the clipart area constituting the input image. Simple contour lines can be generated. Then, for the corrected contour line, by generating the contour line information and vectorizing it, when the obtained vector data is developed, a reproduced image that is faithful to the input image that is the original image is generated. Can do.

  Next, details of the processing in step S100 in FIG. 2 will be described with reference to FIG.

  FIG. 3 is a flowchart showing details of the processing in step S100 according to the embodiment of the present invention.

  In step S110, if the processing target image constituting the clipart area is an RGB image of 8 bits for each color, for example, the upper 4 bits are taken out of 8 bits of each color, and any of 16 × 16 × 16 color cubes is taken. Categorize. Here, this one is called a color cube.

  In step S111, the appearance frequency (histogram) of the pixels belonging to the color cube to be processed is calculated for each color cube to be classified.

  In step S112, the color cubes are rearranged in the order of appearance frequency of pixel values belonging to the color cubes.

  In step S113, a color cube from the color cube having the highest pixel appearance frequency to the Nth (for example, 100) color cubes or a color cube having an appearance frequency equal to or higher than a predetermined value is selected. In other words, a process of placing the colors constituting the processing target image into N colors or representative colors of N colors or less is performed, ignoring color cubes with low appearance frequency of pixels.

  In step S114, when the color near the boundary of the color cube appears most frequently, the frequency of the same color region is counted across multiple color cubes due to an error. Integrate the frequency of neighboring color cubes into the most frequent color cube.

  In step S115, a representative color for each finally obtained color cube is calculated. For example, the average color of the color values of the appearing pixels on the color cube may be calculated as the representative color, or the most frequently appearing color in the color cube may be calculated as the representative color.

  Next, details of the processing in step S101 in FIG. 2 will be described with reference to FIG.

  FIG. 4 is a flowchart showing details of the processing in step S101 according to the embodiment of the present invention.

  In step S120, each pixel of the image to be processed is mapped to the closest representative color group. When each group is represented by an index value, an index image is generated.

  Next, in step S121, pixel data noise removal processing is executed. This noise removal processing includes processing such as isolated point pixel removal, edge projection removal, and hole filling. Then, by this noise removal processing, the contour line of the processing target image is formed.

  Next, details of the processing in step S102 in FIG. 2 will be described with reference to FIG.

  FIG. 5 is a flowchart showing details of the processing in step S102 according to the embodiment of the present invention.

  In step S130, an image having the same index value of the index image is generated. Then, the generated image is regarded as a binary image, and the obtained binary image is labeled.

  In step S131, contour tracking is performed on the image for each independent label obtained by the labeling process. Here, in particular, extraction of (X, Y) coordinate values (coarse contour vectors) that define the boundary lines of the image is executed.

  In step S132, function approximation such as a Bezier function is executed based on the extracted rough contour vector data.

  In step S133, noise data is removed from the contour line data obtained by function approximation. This noise data includes noise data that creates a minute loop.

  Next, details of the processing in step S104 will be described with reference to FIG.

  FIG. 6 is a flowchart showing details of the processing in step S104 according to the embodiment of the present invention.

  In step S140, the SVG Path instruction that defines the contour is replaced with an independent Path instruction for each closed path.

  In step S141, outline information including an attribute designating a color (representative color) in the region, a boundary line thickness, and a color attribute is generated in the Path command.

  Next, a specific example of the vectorization process of the clip art area will be described with reference to FIG.

  FIG. 7 is a diagram for explaining a specific example of the vectorization processing of the clipart area according to the embodiment of the present invention.

  150 is an example of an input image, for example, a bitmap image.

  When the process of step S100 in FIG. 2 is performed on the input image 150, for example, seven representative colors (color 1 to color 7) are selected as the representative colors 151.

  Next, by executing the processing in step S101, the input image 150 is divided into region images for each representative color constituting the input image 150. Here, for example, the image 152 is a region image divided from the input image 150 of color 2. In particular, the image 152 is a binary image indicating the same color (color 2) portion extracted from the input image 150.

Next, by performing the process of step S104 on this binary image, that is, when the labeling process is performed with the black pixel block of this image 152 as a partial area one by one, as shown in FIG. A labeling image consisting of three partial areas 152a to 152c is obtained from 152. Then, contour extraction is performed on each of these three partial areas 152a to 152c. Further, when the same processing is executed for all the region images for the other representative colors, an outline image 153 for the input image 150 is obtained.

  As a result, it can be expressed by one partial area in the input image 150, for example, the partial area 154 (corresponding to the partial area 152a), the contour line 155, and the color 156 therein. As described above, each of the plurality of partial areas constituting the input image can be expressed by the outline corresponding to the partial area and the outline information indicating the internal color. That is, the input image can be expressed by the contour line information of the partial area constituting it.

  Next, a specific example of the contour line extraction unit 14 will be described with reference to FIG.

  FIG. 8 is a diagram for explaining a specific example of the contour line extraction unit according to the embodiment of the present invention.

  The contour line extraction unit 14 searches for the next boundary point counterclockwise from the previous boundary point around the target boundary point. That is, an operation of searching for a pixel that changes from 0 to 1 among 8 neighboring pixels of the target pixel is executed. This process is continued until it returns to the start point.

  Thereby, a contour line configured as a closed loop (closed curve) can be extracted. Also, the contour line is approximated by a straight line / curve using the end point of the contour. As a result, a contour line composed of smoother line segments can be extracted, and the vectorization process is executed on the contour line.

  Next, a detailed configuration example of the edge extraction unit 15 will be described with reference to FIG.

  FIG. 9 is a diagram illustrating a detailed configuration example of the edge extraction unit according to the embodiment of this invention.

  Data is input to the edge extraction unit 15 in units of pixels of the processing target image.

  Reference numeral 81 denotes a one-dimensional filter for detecting a lateral edge. The first absolute value calculation unit 83 calculates an absolute value for the filter result obtained from the one-dimensional filter 81.

  A one-dimensional filter 82 detects vertical edges. Then, with respect to the filter result obtained from the one-dimensional filter 82, the absolute value is calculated by the second absolute value calculator 84.

  Next, the addition unit 86 adds the absolute values obtained from the first absolute value calculation unit 83 and the second absolute value calculation unit 84. Next, the comparison unit 85 compares the addition result from the addition unit 86 with a threshold value 87.

  The comparison result from the comparison unit 85 becomes the edge strength of the target pixel. If the target pixel group having this edge strength is aggregated, the edge line of the edge image of the processing target image can be obtained.

  Here, when the edge strength is strong, a contour line composed of a closed loop (closed curve) is generated. However, when the edge strength is weak, a contour line composed of a closed loop is difficult to be generated. Therefore, in the edge extraction unit 15, the comparison unit 85 performs binarization so that the edge strength is easily emphasized.

  Next, a specific example of the contour correction unit 16 will be described with reference to FIG.

  FIG. 10 is a diagram for explaining a specific example of the contour correction unit according to the embodiment of the present invention.

  For example, as illustrated in FIG. 14, a region image (contour image) 31 and an edge image 32 are obtained as processing result images of the contour extraction unit 14 and the edge extraction unit 15 with respect to the original image 30.

  In these images, as described above, the contour line of the edge image 32 exists in the vicinity of the contour line of the original image 30, but the color near the contour line may be different from the color of the original image 30. Many. On the other hand, the contour of the region image (contour line image) 31 is the same as or similar to the color of the original image, but the shape is often broken.

  Therefore, the contour line correction unit 16 generates a composite image in which the edge image 32 is superimposed on the region image (contour line image) 31. Then, an area that is surrounded by the contour line of the region image 31 and the contour line of the edge image 32 and that does not overlap the image is drawn (corrected) with the color of the region image 31, and the composite image The contour line of the edge image 32 is corrected as the contour line.

  Thereby, it is possible to generate a region image that is as faithful as possible to the contour line of the original image and includes an appropriate color component.

  Next, an example of the contour line information generated by the contour line information generation unit 17 will be described with reference to FIG.

  FIG. 11 is a diagram showing an example of contour line information according to the embodiment of the present invention.

  As described above, the clip art image can be expressed by the contour lines of the partial areas constituting the clip art image and the colors inside thereof. Therefore, for example, SVG (Scalable Vector Graphics) can be expressed as the contour line information indicating the contour line and the color inside the contour line.

  In FIG. 11, a description 1100 surrounded by <˜> represents a command block, and this description 1100 shows a description example (Path (path) description) of a Path command (path instruction) in SVG.

  Here, the description 1101 is a description (fill command (fill command)) for designating the color inside the area surrounded by the outline. A description 1102 is a description (stroke command (stroke command)) for designating the color of the contour line. A description 1103 is a description (stroke command (stroke command)) for designating the width of the contour line.

  A description 1104 is a description for designating the drawing position (coordinate value) of the contour line. In particular, in this description 1104, M is a relative movement element, h and v are horizontal and vertical relative coordinate movement instructions, c and q are cubic and quadratic Bezier curve instructions, and z is a closepath (path Close) command.

  A description 1105 is a comment part regarding the description 1104.

  When the clipart area in the input image is expressed by the contour line information as shown in FIG. 11, for example, the contour line information as shown in FIG. 12 can be configured. In particular, FIG. 12 shows contour information consisting of a composite path and a partial path.

  Here, the partial path represents one closed curve (contour loop) with one path description.

  In addition, the compound path represents a plurality of closed curves (contour line loops) by one path description. In this compound path, when the outer contour line and the inner contour line are described by changing the rotation direction of the contour coordinates, the contour line can be painted with a designated color.

  As described above, according to the present embodiment, the clip art area in the read image is divided from the clip art area into partial areas of the same color, and the divided partial areas are respectively contour lines (closed curves). ) And its color. Thereby, when generating vector data of a clip art region, it is possible to generate vector data with contour line information (contour line and its internal color) of a partial region constituting the clip art region.

  In generating the contour line information, an edge image is separately extracted from the clip art region. Then, based on the edge image, the outline of the partial area divided from the clipart area for each same color is corrected.

  Here, the edge image is extracted in a shape relatively close to the contour line of the read image that is the original image. Therefore, correcting the contour lines of the partial areas divided for the same color from the clip art area with this edge image generates contour information of a shape more faithful to the contour lines of the images constituting the original image. Means you can.

  As described above, in this embodiment, it is possible to generate vector data of a clipart area that can reproduce the configuration of the original image more faithfully.

  Although the embodiment has been described in detail above, the present invention can take an embodiment as a system, apparatus, method, program, storage medium, or the like. Specifically, the present invention may be applied to a system composed of a plurality of devices, or may be applied to an apparatus composed of a single device.

  In the present invention, a software program (in the embodiment, a program corresponding to the flowchart shown in the figure) that realizes the functions of the above-described embodiment is directly or remotely supplied to the system or apparatus, and the computer of the system or apparatus Is also achieved by reading and executing the supplied program code.

  Accordingly, since the functions of the present invention are implemented by computer, the program code installed in the computer also implements the present invention. In other words, the present invention includes a computer program itself for realizing the functional processing of the present invention.

  In that case, as long as it has the function of a program, it may be in the form of object code, a program executed by an interpreter, script data supplied to the OS, or the like.

  Examples of the recording medium for supplying the program include a floppy (registered trademark) disk, a hard disk, an optical disk, a magneto-optical disk, a magnetic tape, and a nonvolatile memory card.

  As another program supply method, the program can be supplied by connecting to a home page on the Internet using a browser of a client computer and downloading. It can also be realized by dividing the program code constituting the program of the present invention into a plurality of files and downloading each file from a different homepage. That is, a WWW server that allows a plurality of users to download a program file for realizing the functional processing of the present invention on a computer is also included in the present invention.

  In addition, the program of the present invention is encrypted, stored in a storage medium such as a CD-ROM, distributed to users, and key information for decryption is downloaded from a homepage via the Internet to users who have cleared predetermined conditions. You may let them. By using the key information, the encrypted program can be decrypted and installed in a computer.

  Further, the function of the above-described embodiment can be realized by an OS or the like running on the computer performing part or all of the actual processing based on the instructions of the read program.

  Furthermore, the program read from the recording medium may be written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer. In this case, the CPU of the function expansion board or function expansion unit performs part or all of the actual processing based on the instructions of the program, and the functions of the above-described embodiments are realized by the processing.

It is a block diagram which shows the structure of the image processing apparatus of embodiment of this invention. It is a flowchart which shows the vectorization process of the clipart area | region of embodiment of this invention. It is a flowchart which shows the detail of a process of step S100 of embodiment of this invention. It is a flowchart which shows the detail of a process of step S101 of embodiment of this invention. It is a flowchart which shows the detail of the process of step S102 of embodiment of this invention. It is a flowchart which shows the detail of a process of step S104 of embodiment of this invention. It is a figure for demonstrating the specific example of the vectorization process of the clipart area | region of embodiment of this invention. It is a figure for demonstrating the specific example of the outline extraction part of embodiment of this invention. It is a figure which shows the detailed structural example of the edge extraction part of embodiment of this invention. It is a figure for demonstrating the specific example of the outline correction | amendment part of embodiment of this invention. It is a figure which shows an example of the outline information of embodiment of this invention. It is a figure which shows an example of the outline information of embodiment of this invention. It is a figure which shows the sample of a manuscript image. It is a figure which shows the area | region division example of a clip art area | region.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Image input part 11 Area division part 12 Clip art area extraction part 13 Area extraction part 14 Contour line extraction part 15 Edge extraction part 16 Contour line correction part 17 Contour line information generation part

Claims (6)

An image processing apparatus that executes image processing for converting an original image into vector data,
Dividing means for dividing the original image into region images for each attribute;
Cutting out means for cutting out a predetermined area image having a predetermined attribute from the original image among the area images divided by the dividing means;
Determining means for determining at least one representative color constituting the predetermined area image based on the appearance color of the predetermined area image cut out by the cutting means;
Image extracting means for extracting a color image having the representative color determined by the determining means from the predetermined area image;
Contour extracting means for extracting the contour of the color image extracted by the image extracting means;
Edge image extraction means for extracting an edge image in the predetermined area image;
Correction means for correcting the contour line extracted by the contour line extraction means based on the edge image extracted by the edge image extraction means;
An image processing apparatus comprising: generating means for generating vector data of the predetermined area image using the contour line corrected by the correcting means. The generating unit generates contour line information including a drawing command for drawing a contour line corrected by the correcting unit, a color and width thereof, and a color in the contour line as vector data of an area image having the predetermined attribute. The image processing apparatus according to claim 1, wherein: 2. The image according to claim 1, wherein the predetermined area image cut out by the cutout means is a clipart area whose number of appearing colors is equal to or less than a predetermined number of the area images divided by the dividing means. Processing equipment. The correction unit generates a composite image in which the corresponding edge image is superimposed on the color image, and the composite image is surrounded by the contour line of the color image and the contour line of the edge image. The image processing apparatus according to claim 1, wherein an area where the images do not overlap is drawn with the color of the color image, and is corrected to the contour line of the edge image as the contour line of the composite image. A control method for an image processing apparatus that executes image processing for converting an original image into vector data,
A division step of dividing the original image into region images for each attribute;
Of the region images divided in the dividing step, a cutting step of cutting out a predetermined region image having a predetermined attribute from the original image,
A determination step of determining at least one representative color constituting the predetermined region image based on the appearance color of the predetermined region image cut out in the cutting step;
An image extraction step of extracting a color image having the representative color determined in the determination step from the predetermined region image;
An outline extraction step of extracting an outline of the color image extracted in the image extraction step;
An edge image extraction step of extracting an edge image in the predetermined area image;
Based on the edge image extracted in the edge image extraction step, a correction step for correcting the contour line extracted in the contour line extraction step;
And a generating step of generating vector data of the predetermined area image using the contour line corrected in the correcting step. A program for controlling an image processing apparatus that executes image processing for converting an original image into vector data,
A division step of dividing the original image into region images for each attribute;
Of the region images divided in the dividing step, a cutting step of cutting out a predetermined region image having a predetermined attribute from the original image,
A determination step of determining at least one representative color constituting the predetermined region image based on the appearance color of the predetermined region image cut out in the cutting step;
An image extraction step of extracting a color image having the representative color determined in the determination step from the predetermined region image;
An outline extraction step of extracting an outline of the color image extracted in the image extraction step;
An edge image extraction step of extracting an edge image in the predetermined area image;
Based on the edge image extracted in the edge image extraction step, a correction step for correcting the contour line extracted in the contour line extraction step;
A program that causes a computer to execute a generation step of generating vector data of the predetermined region image using the contour line corrected in the correction step.

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