JP5071853B2 - Image processing apparatus, image processing method, program, and recording medium - Google Patents

Description

  The present invention relates to an image processing apparatus, an image processing method, a program, and a recording medium, and more particularly, to a technique suitable for use in generating a two-dimensional barcode including an image such as an illustration.

  In recent years, services that provide information through the Internet have become widespread, and two-dimensional barcodes are often used as one of means for providing information. A two-dimensional barcode can encode more information than a one-dimensional barcode and can be read by a mobile phone or the like.

  On the other hand, since it is impossible to determine what kind of information is included from a two-dimensional barcode alone, a two-dimensional barcode in which a designated logo or illustration is inserted at a designated position in a two-dimensional barcode Services that generate barcodes are also becoming popular. According to this service, since a logo or illustration is inserted at a predetermined position, such as the center of a two-dimensional barcode, there is a possibility that the two-dimensional barcode cannot be read sufficiently in some cases. Readability is insufficient.

  Therefore, in order to improve the readability of barcodes, instead of synthesizing images with 2D barcodes and logos and designs, illustrations are designed to be recognized as 2D barcode signals. There are also services that generate two-dimensional barcodes. In addition, by adding display characters or display marks that can be recognized as barcodes to a part of the two-dimensional barcode, the user's willingness to actually read the two-dimensional barcode by the terminal device is improved. A technique is also disclosed (see, for example, Patent Document 1).

Japanese Patent Laid-Open No. 2006-31681

  However, in the service that generates the 2D barcode with illustrations designed to recognize the illustration part as a 2D barcode signal, the position, size, color, angle, etc. of the illustration are determined on a trial and error basis. It must be adjusted and recognized as a two-dimensional barcode signal. Therefore, in particular, when a two-dimensional bar code in which a plurality of images such as illustrations are inserted is generated, the processing becomes complicated, and there is a problem that costs and labor for adjustment increase.

  An object of the present invention is to make it possible to easily insert an image into a two-dimensional barcode and to ensure sufficient readability in view of the above-described problems.

An image processing apparatus according to the present invention includes an image input unit that inputs an image independent of the shape of a two-dimensional barcode , and a setting that sets conditions including the size, color, angle, and position of the image input by the image input unit. Determining means for determining the readability of the two-dimensional barcode using an error correction code when the image is embedded in the two-dimensional barcode according to the display mode of the condition set by the setting means, As a result of determination by the determination unit, when the readability of the two-dimensional barcode satisfies a predetermined condition, a determination unit that determines a display mode of the condition set by the setting unit as a synthesis target is determined by the determination unit. and a combining means for combining said two-dimensional bar code and the image possess in the display mode, the result of determination by the determination means, the two-dimensional barcode When the readability of the document does not satisfy the predetermined condition, the setting means changes and resets the set condition .

The image processing method of the present invention is an image processing method executed by an image processing apparatus that inputs an image independent of the shape of a two-dimensional barcode and synthesizes the image with the two-dimensional barcode. A setting step for setting conditions including the size, color, angle, and position of the image, and when the image is embedded in the two-dimensional barcode by the display mode of the conditions set in the setting step, A determination step for determining the readability of the two-dimensional barcode using an error correction code, and the determination means includes the setting when the readability of the two-dimensional barcode satisfies a predetermined condition as a result of the determination in the determination step. A determination step for determining the display mode of the condition set in the step as a synthesis target; and the image and the two-dimensional display in the display mode determined by the synthesis unit in the determination step Possess a combining step for combining the bar code, the determining step the result of determination in the case where the readability of the two-dimensional bar code does not satisfy the predetermined condition, in the setting step, the setting means is the It is characterized by changing and resetting the set conditions .

  A program according to the present invention causes a computer to execute each step of the image processing method.

  The recording medium of the present invention is characterized in that the program is recorded.

  According to the present invention, since the display mode of the image to be inserted into the two-dimensional barcode is determined based on the readability by the decoder, the image can be easily inserted into the two-dimensional barcode and sufficient readability is ensured. be able to.

(First embodiment)
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram illustrating a functional configuration example of the image processing apparatus 100 according to the present embodiment.
In FIG. 1, an image input unit 101 is for inputting an image to be embedded in a two-dimensional barcode. Specific examples of the embedded image include a logo, an illustration, a photograph, and a moving image. The image to be embedded may be an image sent from an external device (not shown) or an image stored in advance in the memory 102.

  The barcode generation unit 103 is for generating a two-dimensional barcode such as a QR code (registered trademark), for example. For example, when data such as an email address or a telephone number is input to the barcode generation unit 103, the input data is encoded into a two-dimensional barcode. In the present embodiment, the image processing apparatus 100 is configured to generate a two-dimensional barcode (before embedding an image), but is configured to input a two-dimensional barcode generated by another apparatus. Also good.

  The readable determination unit 104 is for determining whether or not an error occurs in the decoder 105 when the position of the image to be embedded in the two-dimensional barcode is set at random and the image is embedded at the set position. Then, the position of the image where no error occurs is determined.

  In the present embodiment, one decoder 105 is used, but a plurality of decoders may be used in order to improve robustness. When a plurality of decoders are used, for example, an average value of each of the plurality of decoders is used as the error totaling result.

  The image composition unit 106 is for embedding an image in which the position or the like to be embedded based on the determination result by the readable determination unit 104 is determined in a two-dimensional barcode.

  The barcode output unit 107 is for embedding and outputting a two-dimensional barcode embedded with an image such as an illustration in a predetermined image. Note that the configuration may be such that only the two-dimensional barcode in which the image is embedded is output, and the processing for embedding the two-dimensional barcode in a predetermined image is performed by another device.

  Next, a processing procedure for embedding an image such as an illustration in a two-dimensional barcode will be described. FIG. 3 is a flowchart illustrating an example of a processing procedure for embedding an image in a two-dimensional barcode according to the present embodiment.

  First, in step S <b> 11, the image input unit 101 reads an image to be embedded from the memory 102 and sends it to the readable determination unit 104. Further, the barcode generation unit 103 encodes the input data into a two-dimensional barcode and sends it to the readable determination unit 104. Specifically, in response to an operation for selecting a desired image by the user, an input signal is input to the image input unit 101 from an operation unit (not shown), and an image to be embedded is read from the memory 102 based on the input signal.

  Next, in step S <b> 12, the readable determination unit 104 performs initial setting of a display mode such as a position where an image is embedded in a two-dimensional barcode. Here, a detailed configuration of the readable determination unit 104 will be described.

FIG. 2 is a block diagram illustrating a detailed configuration example of the readable determination unit 104 in the present embodiment.
When initializing the position or the like to embed an image, as shown in FIG. 2, the parameter setting unit 208 calculates the initial setting value, and the size setting unit 201, color setting unit 202, angle setting unit 23, and position setting unit. 204 sets initial setting values of the size, color, angle, and position calculated by the parameter setting unit 208, and sends them to the image processing unit 205. At this time, if there are a plurality of images to be embedded, initial setting values of the size, color, angle, and position of all the images are set.

  When the embedded image is a moving image whose display mode changes (for example, GIF animation), initial setting values of the size, color, angle, and position of all the images in all the frames are set. In the present embodiment, one or more still images and moving images can be embedded, and one or more still images and one or more moving images can be embedded in combination.

  The parameter setting unit 208 calculates not only the color of the image but also the initial setting values of the color of the two-dimensional barcode and the background color (single color, gradation, etc.), and the color setting unit 202 displays the two-dimensional barcode. The initial setting values of the color and background color are also set.

  Next, in step S <b> 13, the image processing unit 205 deforms the image to be embedded based on the setting values set by the size setting unit 201, the color setting unit 202, the angle setting unit 23, and the position setting unit 204, and The confirmed image is embedded in the input two-dimensional barcode to generate a confirmation two-dimensional barcode. Then, in order to confirm the readability, the generated confirmation two-dimensional barcode is sent to the decoder 105. At this time, if the set two-dimensional barcode color and background color are different from the two-dimensional barcode generated by the barcode generation unit 103, the set two-dimensional barcode is directly used as the original two-dimensional barcode. Embed in a barcode.

  Next, in step S14, the decoder 105 decodes the confirmation two-dimensional barcode, and the error totaling unit 206 counts the number of errors that can be decoded and the number of errors. Here, the decoder 105 performs decoding using an error correction code of a two-dimensional barcode. As a result, it is determined whether decoding is possible and the number of errors is zero. If there are a plurality of images to be embedded, it is also determined whether or not the images overlap.

  If the result of this determination is that decoding is not possible or there is an error, the process proceeds to step S15. In step S15, the error totaling unit 206 sends the error totaling result to the setting instruction unit 207, and the reset instruction unit 207 instructs the parameter setting unit 208 to change the setting value. Then, the size setting unit 201, the color setting unit 202, the angle setting unit 23, and the position setting unit 204 are changed to the setting values calculated by the parameter setting unit 208, and sent to the image processing unit 205 again, and step S13. Return to.

  Here, how the parameter setting unit 208 changes each set value is calculated using a combinational optimization algorithm. Specifically, iterated hill climbing (Iterated Hill-Climbing), which is a kind of combinatorial optimization algorithm, is used. Further, when there are a plurality of images to be embedded or when a moving image is embedded, a steepest descent method, a simulated annealing method, a genetic algorithm, or the like may be used.

  In addition, when the combination optimization algorithm is used, there is a possibility that the calculation result is in a display mode greatly different from the user's intention. Therefore, in this embodiment, the user can set a threshold value for each set value. Specifically, threshold value information of each set value is input to the parameter setting unit 208 from an operation unit (not shown) by a user operation, and calculation is performed using a combination optimization algorithm within the range of the threshold value.

  Thereby, the parameter setting unit 208 calculates each setting value to be changed by the combination algorithm, and the calculated setting value information is sent to the size setting unit 201, the color setting unit 202, the angle setting unit 23, and the position setting unit 204. send. In this way, the processing of steps S13 to S15 is repeatedly performed by the combination optimization algorithm, and this processing is repeated until an optimum set value is reached. When an algorithm that generates a plurality of solution candidates (combinations of setting values) at a time, such as a genetic algorithm, is used, a plurality of solution candidates are generated at a time, and step S13 is performed for all patterns of the solution candidates. The process of S15 is repeated. In some cases, new solution candidates are generated based on a plurality of solution candidates from which good results are obtained, and this process is repeated until an optimum set value is reached.

  On the other hand, if the result of determination in step S14 is that decoding is possible and the number of errors is 0 (when images do not overlap), the process proceeds to step S16. In step S16, the image of the set value and the two-dimensional barcode at that time are sent to the image composition unit 106, and the image composition unit 106 embeds the image in the two-dimensional barcode and outputs it to the barcode output unit 107. The process ends.

  FIG. 4 is a diagram illustrating an example of a two-dimensional barcode with illustrations synthesized by the image synthesis unit 106 according to the present embodiment. As shown in FIG. 4, the size and position of the image to be embedded are determined from the result calculated using the combinational optimization algorithm, and the image is embedded at a position where no error occurs during decoding.

Further, when creating a two-dimensional barcode with a moving image, it can be created with the following three patterns.
(1) In the case of a moving image in which the input moving image is fixed at a fixed position and the image changes for each frame, one or more moving images are input, and the calculated fixed position in the two-dimensional barcode Embed in.
(2) One or more still images are input, moved within the two-dimensional barcode using the same still image, and output as a two-dimensional barcode with a moving image.
(3) One or more moving images are input, and each frame is moved within the two-dimensional barcode using the same moving image.

Accordingly, the output two-dimensional barcode is output in the following forms (a) to (c).
(A) One or more still images, moving images, or a two-dimensional barcode embedded with a combination of still images and moving images (b) Still images that include only still images and do not change the position of the still images in time series Image two-dimensional barcode (c) A moving image two-dimensional barcode including one or more moving images and changing the position of a still image or a moving image in time series

  FIG. 5 is a diagram showing an example of the error count statistics by embedding one image in a two-dimensional barcode in the present embodiment. The x-axis and the y-axis indicate positions in the two-dimensional barcode, and the z-axis indicates the number of errors.

  As described above, the decoder 105 performs decoding using an error correction code of a two-dimensional bar code. If an error can be corrected by the error correction code as a result of the decoding, an image is embedded. Even so, the error is zero. In the example shown in FIG. 5, the readability of the two-dimensional barcode can be ensured by inserting an image in the upper left part of the two-dimensional barcode.

  As described above, in the present embodiment, as a result of decoding using the error correction code of the two-dimensional barcode in the decoder 105, the size of the image to be embedded using the combinational optimization algorithm so that the error becomes 0, The color (including 2D barcode color and background color), angle and position are determined. As a result, an image can be easily inserted into the two-dimensional barcode, and sufficient readability can be ensured. Even when a plurality of images are embedded in a two-dimensional barcode or when a moving image is embedded, the display mode of an image can be easily determined by a combinational optimization algorithm.

(Second Embodiment)
In the first embodiment, the display mode of the embedded image is determined when decoding is possible and the number of errors is 0. For example, when the number of errors is 0 but the embedded image is small, the number of errors is In some cases, it is preferable for the user to have a large number of embedded images. Therefore, in the present embodiment, an example will be described in which a user is selected from a plurality of display mode candidates by using the interactive evolutionary calculation method, and a two-dimensional barcode of the selected display mode is generated. Note that the functional configuration example of the image processing apparatus according to the present embodiment is the same as that of the first embodiment, and a description thereof will be omitted.

FIG. 6 is a flowchart illustrating an example of a processing procedure for embedding an image in a two-dimensional barcode in a display mode desired by the user in the present embodiment.
First, in step S <b> 61, the image input unit 101 reads an image to be embedded from the memory 102 and sends it to the readable determination unit 104. Further, the barcode generation unit 103 encodes the input data into a two-dimensional barcode and sends it to the readable determination unit 104. Specifically, in response to an operation for selecting a desired image by the user, an input signal is input to the image input unit 101 from an operation unit (not shown), and an image to be embedded is read from the memory 102 based on the input signal.

  Next, in step S <b> 62, the readable determination unit 104 generates n display mode candidates for the embedded image. A procedure for generating display mode candidates will be described later with reference to FIG. Next, in step S63, the n display mode candidates generated in step S62 are displayed on a display panel (not shown) and presented to the user. At this time, the user is allowed to select either “determine display mode” or “select the most preferable display mode”.

  Next, in step S64, it is determined whether or not “determine display mode” has been selected by the user. If “determine display mode” is selected as a result of this determination, the process proceeds to step S67, and the image composition unit 106 generates a two-dimensional barcode in which the image is embedded in the selected display mode, and the barcode It outputs to the output part 107 and complete | finishes a process.

  On the other hand, if “select the most preferable display mode among these” is selected as a result of the determination in step S64, the process proceeds to step S65, and the display mode candidate selected as the most preferable by the user is extracted. In step S66, n display mode candidates are newly generated based on the selected preferable candidate, and the process returns to step S63. A detailed procedure for generating a new display mode candidate in step S66 will be described later with reference to FIG.

  FIG. 7 is a flowchart showing an example of a procedure for generating display mode candidates in step S62 of FIG. Note that the processing contents of steps S71 to S74 in FIG. 7 are the same as the processing contents of steps S12 to S15 in FIG.

  If the result of determination in step S73 is that decoding is possible and the number of errors is 0, the process proceeds to step S75, and the image processing unit 205 lists up as display mode candidates to be presented to the user. Next, in step S76, it is determined whether n display mode candidates have been extracted. If n is not extracted as a result of this determination, the process returns to step S71 to extract the next candidate. On the other hand, if n is extracted as a result of the determination in step S76, the process is terminated.

  In the present embodiment, in order to determine the display mode so as to meet the user's request, the n display mode candidates are combined in such a manner that the size, the color, the angle, and the position are as different as possible. Therefore, when performing the initial setting in step S71, the display mode candidates are set to be greatly different from those already listed.

FIG. 8 is a flowchart showing an example of a procedure for generating display mode candidates in step S66 of FIG.
First, in step S81, a candidate to be presented next is set based on the most preferable display mode candidate selected by the user in step S65 of FIG. Specifically, by selecting a candidate by the user, it is possible to know which parameter (size, color, angle, position) the user places importance on. Therefore, in the present embodiment, candidates are extracted using the expression shown in the following Equation 1 so that the objective function f (x) becomes large.

  Here, x indicates a candidate in which an image has been inserted, and P (x) indicates a function indicating the degree of decoding success. Further, Q (x) indicates the degree of satisfying the user's request and the appropriateness of image arrangement. P (x) is expressed by the following equation (2).

Here, p _k (x) is a function indicating whether or not decoding is successful by the k-th decoder when there are a plurality of decoders 105. When the k-th decoder returns only success or failure of decoding, p _k (x) = 1 when decoding is successful, and p _k (x) = 0 when decoding fails. When the k-th decoder returns the degree when decoding fails, p _k (x) is a real value from 0 to 1. Further, w _k ^(p) represents a weight for adjusting the importance of each decoder.

  On the other hand, Q (x) is expressed by the following equation (3).

Here, q _l (x) is a function representing the goodness of the image arrangement and the satisfaction degree of the condition by the user. In the present embodiment, q ₁ (x) to q ₄ (x) are set. q ₁ (x) indicates the degree of overlapping of images when a plurality of images are inserted, and q ₂ (x) indicates the degree of arrangement of the images inside the two-dimensional barcode. Further, q ₃ (x) indicates the appropriateness of the enlargement ratio of the image, and q ₄ (x) indicates a function representing the uniformity of the enlargement ratio of each image. Further, w _l ^(q) represents a weight for adjusting the importance of each element.

Furthermore, q ₁ (x) is expressed by the following equation (4).

Here, N _i indicates the total number of images to be inserted, and S _i indicates the area of the image i. Further, S _i ^O indicates the area of the region where the image i is covered by another image.

Further, q ₂ (x) is expressed by the following equation (5).

Here, S _i ^B indicates the area of the region that protrudes from the two-dimensional barcode region in the image i.

Further, q ₃ (x) is expressed by the following equation (6).

Here, α is a constant set to around 0.3, and S _QR indicates the area of the two-dimensional barcode.

Q ₄ (x) is expressed by the following equation (7).

Scale _min and scale _max indicate the smallest magnification and the largest magnification, respectively. In this embodiment, the calculation is performed by setting q ₁ (x) to q ₄ (x), but other than this, the position of the image is similar to q ₁ (x) to q ₄ (x). It is possible to set the user's demands such as relationships and appropriateness of arrangement as a function.

  As described above, with regard to Q (x), the specific gravity of the parameter emphasized by the user is set high, and the process of steps S63 to S66 in FIG. 6 is repeated, so that the specific gravity of each parameter meets the user's request. Thus, Q (x) has a large value. Further, Q (x) can be reduced in a display mode that is generally not preferable, such as when images overlap. In this way, those whose objective function f (x) is equal to or greater than the reference value are finally extracted as candidates.

  That is, in step S81, the parameter setting unit 208 assigns and sets each parameter value so that Q (x) increases, and determines x.

  Next, in step S82, the confirmation two-dimensional barcode is sent to the decoder 105 in the same manner as in step S13 of FIG. In step S84, the decoder 105 decodes the confirmation two-dimensional barcode, and the error totaling unit 206 counts the number of errors that can be decoded. Here, the decoder 105 decodes using a two-dimensional barcode error correction code. As a result, it is determined whether or not the objective function f (x) is greater than or equal to the reference value. Regarding the setting of the reference value, the reference value is changed each time the processes of steps S63 to S66 in FIG. 6 are repeated.

  As a result of this determination, if the objective function f (x) is less than the reference value, the process proceeds to step S84, and the parameter setting value is changed as in the procedure of step S15 in FIG. In the present embodiment, calculation is performed using an optimization algorithm so that f (x) becomes large.

  On the other hand, as a result of the determination in step S73, if the objective function f (x) is equal to or greater than the reference value, the process proceeds to step S75, and the image processing unit 205 lists up as display mode candidates to be presented to the user. Next, in step S86, it is determined whether n display mode candidates have been extracted. If n is not extracted as a result of this determination, the process returns to step S71 to extract the next candidate. On the other hand, if n is extracted as a result of the determination in step S86, the process is terminated.

  As described above, in this embodiment, by maximizing the objective function f (x) using the interactive evolutionary calculation method, it is possible to embed an image in a two-dimensional barcode in a display mode preferable for the user.

(Other embodiments according to the present invention)
Each means constituting the image processing apparatus and each step of the image processing method in the embodiment of the present invention described above can be realized by operating a program stored in a RAM or ROM of a computer. This program and a computer-readable recording medium recording the program are included in the present invention.

  Further, the present invention can be implemented as, for example, a system, apparatus, method, program, or recording medium. Specifically, the present invention may be applied to a system including a plurality of devices. The present invention may be applied to an apparatus composed of a single device.

  In the present invention, a software program that realizes the functions of the above-described embodiments (in the embodiment, a program corresponding to the flowcharts shown in FIGS. 3 and 6 to 8) is directly or remotely supplied to a system or apparatus. Including. This includes the case where the system or the computer of the 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, and the like.

  Examples of the recording medium for supplying the program include a flexible disk, a hard disk, an optical disk, and a magneto-optical disk. Further, there are MO, CD-ROM, CD-R, CD-RW, magnetic tape, nonvolatile memory card, ROM, DVD (DVD-ROM, DVD-R) and the like.

  As another program supply method, there is a method of connecting to a homepage on the Internet using a browser of a client computer. The computer program itself of the present invention or a compressed file including an automatic installation function can be downloaded from the homepage by downloading it to a recording medium such as a hard disk.

  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.

  As another method, the program of the present invention is encrypted, stored in a recording medium such as a CD-ROM, distributed to users, and encrypted from a homepage via the Internet to users who have cleared predetermined conditions. Download the key information to be solved. It is also possible to execute the encrypted program by using the key information and install the program on a computer.

  Further, the functions of the above-described embodiments are realized by the computer executing the read program. Furthermore, based on the instructions of the program, an OS or the like running on the computer performs part or all of the actual processing, and the functions of the above-described embodiments can be realized by the processing.

  As another method, the program read from the recording medium is first written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer. Then, based on the instructions of the program, the CPU or the like provided in the function expansion board or function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are also realized by the processing.

It is a block diagram which shows the function structural example of the image processing apparatus in the 1st Embodiment of this invention. It is a block diagram which shows the detailed functional structural example of the readable determination part in the 1st Embodiment of this invention. It is a flowchart which shows an example of the process sequence which embeds an image in the two-dimensional barcode in the 1st Embodiment of this invention. It is a figure which shows an example of the two-dimensional barcode with an illustration synthesize | combined in the image synthetic | combination part of the 1st Embodiment of this invention. It is a figure which shows an example of the statistics of the number of errors by embedding an image in a two-dimensional barcode in the 1st Embodiment of this invention. It is a flowchart which shows an example of the process sequence which embeds an image in a two-dimensional barcode with the display mode which a user desires in the 2nd Embodiment of this invention. It is a flowchart which shows an example of the procedure which produces | generates the display mode candidate in step S62 of FIG. It is a flowchart which shows an example of the procedure which produces | generates the display mode candidate in step S66 of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Image processing apparatus 101 Image input part 102 Memory 103 Barcode production | generation part 104 Readability determination part 105 Decoder 106 Image composition part 107 Barcode output part 201 Size setting part 202 Color setting part 203 Angle setting part 204 Position setting part 205 Image processing part 206 Error totaling unit 207 Resetting instruction unit 208 Parameter setting unit

Claims (10)

Image input means for inputting an image independent of the shape of the two-dimensional barcode ;
Setting means for setting conditions including the size, color, angle and position of the image input by the image input means;
A determination unit that determines the readability of the two-dimensional barcode using an error correction code when the image is embedded in the two-dimensional barcode according to the display mode of the condition set by the setting unit;
As a result of determination by the determination unit, when the readability of the two-dimensional barcode satisfies a predetermined condition, a determination unit that determines a display mode of the condition set by the setting unit as a synthesis target ;
Have a synthesizing means for synthesizing said two-dimensional bar code and the image in the display mode determined by said determining means,
As a result of determination by the determination unit, when the readability of the two-dimensional barcode does not satisfy the predetermined condition, the setting unit changes and resets the set condition. . As a result of the determination by the determination unit, when the readability of the two-dimensional barcode does not satisfy the predetermined condition, the setting unit refers to the past determination result by the determination unit, the size, color, The image processing apparatus according to claim 1, wherein the condition including the angle and the position is changed and reset . The setting means sets conditions including the size, color, angle and position of the image until the predetermined number of display modes are determined by the determining means,
The said combining means synthesize | combines the image of the display mode selected by the user from the predetermined number of display modes determined by the said determination means, and the said two-dimensional barcode. Image processing device. The determination means further determines the appropriateness of the arrangement of the image based on a condition designated by the user,
  The determining unit determines a display mode of the condition set by the setting unit as a synthesis target when the readability of the two-dimensional barcode and the appropriateness of the image arrangement satisfy predetermined conditions. The image processing apparatus according to claim 3. An image processing method executed by an image processing apparatus that inputs an image independent of the shape of a two-dimensional barcode and combines it with the two-dimensional barcode,
A setting step in which the setting means sets conditions including the size, color, angle, and position of the input image;
A determination step of determining the readability of the two-dimensional barcode using an error correction code when the image is embedded in the two-dimensional barcode according to the display mode of the condition set in the setting step;
As a result of the determination in the determination step, when the readability of the two-dimensional barcode satisfies a predetermined condition, the determination unit determines a display mode of the condition set in the setting step as a synthesis target ;
Combining means, possess a combining step for combining the said two-dimensional bar code and the image in the display mode determined in the determination step,
As a result of the determination in the determination step, when the readability of the two-dimensional barcode does not satisfy the predetermined condition, the setting unit changes and resets the set condition in the setting step. An image processing method. As a result of the determination in the determination step, when the readability of the two-dimensional barcode does not satisfy the predetermined condition, in the setting step, the setting unit refers to the past determination result in the determination step. The image processing method according to claim 5, wherein conditions including size, color, angle, and position are changed and reset. In the setting step, the condition including the size, color, angle and position of the image is set until the setting means determines a predetermined number of display modes in the determining step,
In the synthesis step, the synthesis unit synthesizes the image of the display mode selected by the user from the predetermined number of display modes determined in the determination step and the two-dimensional barcode. Item 6. The image processing method according to Item 5. In the determination step, the determination means further determines the appropriateness of the arrangement of the image based on a condition designated by the user,
  In the determination step, when the determination unit determines whether the readability of the two-dimensional barcode and the appropriateness of the image arrangement satisfy predetermined conditions, the display mode of the condition set in the setting step is set as a synthesis target. The image processing method according to claim 7, wherein the determination is performed.   A program for causing a computer to execute each step of the image processing method according to any one of claims 5 to 8.   A computer-readable recording medium on which the program according to claim 9 is recorded.

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