CN116228924A - Color coating method based on AI image processing algorithm - Google Patents
Color coating method based on AI image processing algorithm Download PDFInfo
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- CN116228924A CN116228924A CN202310343591.1A CN202310343591A CN116228924A CN 116228924 A CN116228924 A CN 116228924A CN 202310343591 A CN202310343591 A CN 202310343591A CN 116228924 A CN116228924 A CN 116228924A
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000009500 colour coating Methods 0.000 title description 2
- 238000004040 coloring Methods 0.000 claims abstract description 8
- 239000003973 paint Substances 0.000 claims abstract description 8
- 238000010422 painting Methods 0.000 claims description 17
- 239000003086 colorant Substances 0.000 claims description 7
- 239000011248 coating agent Substances 0.000 claims description 3
- 238000000576 coating method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000003993 interaction Effects 0.000 abstract description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 210000005069 ears Anatomy 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Engineering & Computer Science (AREA)
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- Physics & Mathematics (AREA)
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- General Engineering & Computer Science (AREA)
- Processing Or Creating Images (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a coloring method based on an AI image processing algorithm. The invention has the following beneficial effects: (1) AI image processing is carried out on the portrait photos uploaded by the user so as to automatically generate a portrait sketch map, a large number of designers do not need to be invested to sketch portrait patterns by hand, and the investment of labor cost is greatly reduced; (2) The color-coated pattern selection is not limited by the portrait pattern which is manufactured in advance by a manufacturer, and a user can select to upload portrait photos by himself, so that the interesting experience of the user is improved; (3) In addition, the hyperlink is further shared on line to other users by generating the hyperlink containing the portrait sketch, so that the other users can paint the portrait sketch contained in the hyperlink, and the interaction fun among the users is increased.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a coloring method based on an AI image processing algorithm.
Background
Overseas mobile application markets have a leisure mini-game of the "painted" type which is popular in the market and has a large scale, and the main playing method of the painted game is to display a portrait pattern of a sketched line, wherein the portrait pattern comprises a plurality of areas to be painted which are formed by a plurality of adjacent sketched lines, and a user player fills in colors for each blank area to be painted.
The color-coated game has the following technical problems: (1) A large number of designers need to be invested to manually draw portrait patterns outlining lines, and the labor cost is high; (2) The user can only play the painting of the portrait pattern which is prefabricated by the manufacturer, so that the interesting experience of the user is affected; (3) lack of interactive enjoyment between users.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a coloring method based on an AI image processing algorithm, which can solve the technical problems.
(II) technical scheme
In order to solve the technical problems, the invention provides the following technical scheme: a coloring method based on an AI image processing algorithm comprises the following steps:
s1: uploading a portrait photo by a user;
s2: AI image processing is carried out on the portrait photo so as to automatically generate a portrait sketch, wherein the portrait sketch comprises a plurality of sketch lines and a plurality of areas to be painted, and a plurality of adjacent sketch lines form an area to be painted;
s3: generating a hyperlink containing a portrait sketch map;
s4: sharing hyperlinks on line to other users;
s5: other users click on the hyperlink to paint each region to be painted of the portrait sketch.
Preferably, the AI image processing of step S2 specifically includes the sub-steps of:
s21: automatically extracting image content of a portrait area from a portrait photo;
s22: and automatically extracting a sketch line from the image content of the portrait area to automatically generate a portrait sketch map.
Preferably, after step S2, the method further comprises:
s2a: extracting all color values of each corresponding position area from the portrait photo corresponding to each area to be painted;
s2b: and calculating the color average value of the corresponding position area according to all the color values.
Preferably, the step S3 specifically includes: the portrait sketch and the average value of each color are stored into a data file to generate a hyperlink.
Preferably, the hyperlink also contains a manner of rewards.
Preferably, the mode of the customs rewards is as follows: judging whether the ranking of the color scores of the users is within the preset ranking, if so, giving the users the downloading permission of the preset files.
Preferably, the mode of the customs rewards is as follows: judging whether the color marking score of the user is higher than a preset score, and if so, giving the user the downloading authority of the preset file.
Preferably, the preset file is text, picture or audio.
Preferably, after step S5, the method further comprises:
s6: calculating the deviation value between the average value of the colors coated by the user in each region to be coated and the average value of the colors in the step S2b, wherein the smaller the deviation value is, the higher the coating score is.
Preferably, after step S6, the method further comprises:
s7: judging whether the color grading meets the rewarding condition of the customs rewarding mode, and if so, triggering rewarding content of the customs rewarding mode correspondingly.
(III) beneficial effects
Compared with the prior art, the invention provides a coloring method based on an AI image processing algorithm, which has the following beneficial effects: (1) AI image processing is carried out on the portrait photos uploaded by the user so as to automatically generate a portrait sketch map, a large number of designers do not need to be invested to sketch portrait patterns by hand, and the investment of labor cost is greatly reduced; (2) The color-coated pattern selection is not limited by the portrait pattern which is manufactured in advance by a manufacturer, and a user can select to upload portrait photos by himself, so that the interesting experience of the user is improved; (3) In addition, the hyperlink is further shared on line to other users by generating the hyperlink containing the portrait sketch, so that the other users can paint the portrait sketch contained in the hyperlink, and the interaction fun among the users is increased.
Drawings
FIG. 1 is a flowchart showing steps of a first embodiment of a painting method based on an AI image processing algorithm;
fig. 2 is a flowchart showing the steps of a second embodiment of a painting method based on an AI image processing algorithm according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a first embodiment of a painting method based on an AI image processing algorithm of the present invention includes the following steps:
s1: the user uploads the portrait photo. The user can freely choose to upload portrait photos including himself or others.
S2: and carrying out AI image processing on the portrait photo to automatically generate a portrait sketch, wherein the portrait sketch comprises a plurality of sketch lines and a plurality of areas to be painted, and a plurality of adjacent sketch lines form an area to be painted. It should be appreciated that the area to be painted is blank; the region to be painted may be specifically a region of eyes, ears, etc. of a person, where there is no excessive limitation.
Preferably, the AI image processing of this step S2 specifically includes the following sub-steps:
s21: image content of the portrait area is automatically extracted from the portrait photos.
S22: and automatically extracting a sketch line from the image content of the portrait area to automatically generate a portrait sketch map.
S3: a hyperlink is generated that includes a portrait sketch.
S4: hyperlinks are shared online to other users. The hyperlink can be shared to other users by various social platforms or communication software and the like, and the hyperlink is not limited in any way.
S5: other users click on the hyperlink to paint each region to be painted of the portrait sketch.
Compared with the prior art, the invention provides a coloring method based on an AI image processing algorithm, which has the following beneficial effects: (1) AI image processing is carried out on the portrait photos uploaded by the user so as to automatically generate a portrait sketch map, a large number of designers do not need to be invested to sketch portrait patterns by hand, and the investment of labor cost is greatly reduced; (2) The color-coated pattern selection is not limited by the portrait pattern which is manufactured in advance by a manufacturer, and a user can select to upload portrait photos by himself, so that the interesting experience of the user is improved; (3) In addition, the hyperlink is further shared on line to other users by generating the hyperlink containing the portrait sketch, so that the other users can paint the portrait sketch contained in the hyperlink, and the interaction fun among the users is increased.
Referring to fig. 2, a second embodiment of a painting method based on an AI image processing algorithm of the present invention includes the following steps:
s1: the user uploads the portrait photo.
S2: and carrying out AI image processing on the portrait photo to automatically generate a portrait sketch, wherein the portrait sketch comprises a plurality of sketch lines and a plurality of areas to be painted, and a plurality of adjacent sketch lines form an area to be painted.
S2a: and extracting all color values of each corresponding position area from the portrait photo corresponding to each area to be painted.
S2b: the color average value of the corresponding position area is calculated according to all the color values to be used as a standard color value of the area to be painted for comparison with the color filled by the user. For example, the region a to be painted of the portrait sketch corresponds to the corresponding position region a of the portrait photo in position (for example, both are left eyes), the corresponding position region a is divided into a plurality of sub-regions, and the step S2a is to extract RGB color values of all sub-regions in the corresponding position region a; further, the step S2b is, for example, calculating an RGB color average value according to the RGB color values of all the sub-areas in the a.
S3: a hyperlink is generated that includes a portrait sketch. The step S3 specifically includes: and (3) saving the portrait sketch and the average value of each color calculated in the step (S2 b) into a data file to generate a hyperlink, namely forming a painted game stage.
In addition, the hyperlinks may also contain information about the manner in which the rewards are awarded. The mode of the customs rewarding is as follows: judging whether the ranking of the color scores of the users is within the preset ranking, if so, giving the users the downloading permission of the preset files. The mode of the customs rewards can also be as follows: judging whether the color marking score of the user is higher than a preset score, and if so, giving the user the downloading authority of the preset file. Of course, other means of bonus points may be used without undue limitation.
The preset file may be text, picture, audio, etc. The text can specifically contain a coupon redemption code of an online commodity so as to meet the popularization requirement of an electronic commerce; the pictures can be, for example, star limit version wallpaper so as to meet the popularization and propaganda requirements of the star; the audio may be, for example, a song recently released by a singer, so as to meet the requirement of promotion and propaganda of the song. Of course, other forms of content of the default file may be used as the customs clearance, without limitation.
S4: hyperlinks are shared online to other users.
S5: other users click on the hyperlink to paint each region to be painted of the portrait sketch.
S6: calculating the deviation value between the average value of the colors coated by the user in each region to be coated and the average value of the colors in the step S2b, wherein the smaller the deviation value is, the higher the coating score is.
S7: judging whether the color grading meets the rewarding condition of the customs rewarding mode, if so, triggering rewarding content of the customs rewarding mode correspondingly; in addition, when the reward condition is met, the bonus window may be popped up specifically to display the reward content. For example, the painting score of the user B is ranked as the fifth name among all users painted with the portrait sketch and is in a preset ranking (the first six names), so that the reward condition is met, and the user B is correspondingly given the downloading authority of a certain picture.
In addition, after the painting of a portrait sketch is completed, the painting scores of all users who paint the portrait sketch and the respective painting score ranks may be displayed.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The coloring method based on the AI image processing algorithm is characterized by comprising the following steps:
s1: uploading a portrait photo by a user;
s2: performing AI image processing on the portrait photo to automatically generate a portrait sketch, wherein the portrait sketch comprises a plurality of sketch lines and a plurality of areas to be painted, and a plurality of adjacent sketch lines form one area to be painted;
s3: generating a hyperlink containing the portrait sketch map;
s4: sharing the hyperlinks on line to other users;
s5: and clicking the hyperlink by other users to paint each region to be painted of the portrait sketch.
2. The AI image processing algorithm-based painting method according to claim 1, characterized in that the AI image processing of step S2 comprises in particular the sub-steps of:
s21: automatically extracting image content of a portrait area from the portrait photo;
s22: and automatically extracting the sketching lines from the image content of the portrait area so as to automatically generate the portrait sketching map.
3. The AI image processing algorithm-based painting method according to claim 1, characterized by further comprising, after said step S2:
s2a: extracting all color values of each corresponding position area from the portrait photo corresponding to each area to be painted;
s2b: and calculating the color average value of the corresponding position area according to the color values.
4. The AI image processing algorithm-based painting method according to claim 3, wherein the step S3 is specifically: and storing the portrait sketch and each color average value into a data file to generate the hyperlink.
5. The AI image processing algorithm-based painting method according to claim 4, wherein: the hyperlink also contains a bonus manner.
6. The AI image processing algorithm-based painting method according to claim 5, wherein: the mode of the customs clearance rewarding is as follows: judging whether the ranking of the color scores of the users is within the preset ranking, if so, giving the users the downloading permission of the preset files.
7. The AI image processing algorithm-based painting method according to claim 5, wherein: the mode of the customs clearance rewarding is as follows: judging whether the color marking score of the user is higher than a preset score, and if so, giving the user the downloading authority of the preset file.
8. The AI image processing algorithm-based coloring method according to claim 6 or 7, characterized in that: the preset file is text, picture or audio.
9. The AI image processing algorithm-based painting method according to claim 8, further comprising, after the step S5:
s6: calculating a deviation value between the average value of the colors coated by the user in each region to be coated and the average value of the colors in the step S2b, wherein the smaller the deviation value is, the higher the coating score is.
10. The AI image processing algorithm-based painting method according to claim 9, characterized by further comprising, after the step S6:
s7: judging whether the color grading meets the rewarding condition of the customs rewarding mode, and if so, triggering rewarding content of the customs rewarding mode correspondingly.
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| CN202310343591.1A CN116228924B (en) | 2023-03-31 | 2023-03-31 | Color coating method based on AI image processing algorithm |
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| CN202310343591.1A CN116228924B (en) | 2023-03-31 | 2023-03-31 | Color coating method based on AI image processing algorithm |
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