CN109472840B - Color replacement method and system - Google Patents
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Abstract
The invention discloses a color replacement method and a system, wherein the method comprises the following steps: the method comprises the following steps of S1, obtaining a color image to be replaced, performing color statistical analysis on the color image to be replaced, and sequencing the color image to be replaced; s2, extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted color of the color image to be replaced; s3, combining the colors extracted from the color image to be replaced and the colors of the color set with the highest coincidence degree in pairs to obtain target colors with minimum color difference extracted from the color image to be replaced; and S4, replacing the color extracted from the color image to be replaced with the target color and outputting the target color.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a color replacement method and system.
Background
Painting is a visual art, and forms an abnormal, precise and specific and personalized picture through certain colors, lines and shapes so as to convey aesthetic experience for people to feel.
With the development of times, people gradually enter the personalized times, and the painting also presents various personalized products. Color is an indispensable factor and the most powerful expression for painting, and even if the same object is matched with different colors, the visual effect is different, and the likes and dislikes generated by the viewer are different. According to research and research, the following defects are commonly found in the realization of color replacement of the commercial painting products: 1) The steps are complicated, a user needs to identify the area to be replaced by the color first and then selects the replacement color for replacement; 2) The efficiency is low, if the drawing is replaced by various colors, the operations of area identification and color selection need to be repeated for multiple times; 3) Since the user does not necessarily have the basic knowledge of art, the local color replacement may not match the overall color style of the drawing.
Disclosure of Invention
In order to overcome the defects of the prior art, the present invention provides a color replacement method and system, so as to automatically find out a similar replacement color according to a main color of an image of a user, thereby achieving the purpose of automatic color replacement without requiring the user to treat a color replacement area identifier in advance, manually select a replacement color, and even without requiring the user to have artistic basic knowledge.
To achieve the above and other objects, the present invention provides a color replacement method, comprising the steps of:
the method comprises the following steps of S1, obtaining a color image to be replaced, performing color statistical analysis on the color image to be replaced, and sequencing the color image to be replaced;
s2, extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted color of the color image to be replaced;
s3, combining the colors extracted from the color image to be replaced and the colors of the color set with the highest coincidence degree in pairs to obtain target colors with minimum color difference extracted from the color image to be replaced;
and S4, replacing the color extracted from the color image to be replaced with the target color and outputting the target color.
Preferably, before step S1, the method further includes the following steps:
and S0, establishing the color set database according to the obtained painting images by obtaining a large number of painting images.
Preferably, in step S0, a color set of an RGB mode of each image is obtained from the acquired drawing image based on a color clustering method, and the color set database is established.
Preferably, in the color set database, one image corresponds to one color set, and the number of color types in each color set is different.
Preferably, in step S0, a fuzzy C-means clustering method is used to obtain a color set of RGB patterns of each image.
Preferably, the fuzzy C-means clustering method comprises the following steps:
setting C pixel values for color clustering division, and clustering the pixel values in a pixel color space by combining a minimum distance principle to generate new color clustering division;
respectively calculating the central value of each color category according to the new clustering division;
and clustering the pixel values in the pixel color space again according to the new central value, and repeating the steps until the central value of the color category is unchanged, so that the image segmentation is realized, and the color clustering is finished.
Preferably, in step S1, the colors of all the pixels of the color image to be replaced are statistically analyzed by using pixels of 1 × 1pixel size as a unit, the color type and the distribution number of the color image to be replaced are obtained based on the RGB values of the pixels of the image, and the colors are sorted according to the distribution number.
Preferably, in step S2, the top N colors in the color sequence of the color image to be replaced are extracted, and the RGB values of the N colors are respectively compared with the RGB values of each color set in the color set database established in advance, so as to obtain the color set with the highest color coincidence with the extracted color of the color image to be replaced.
Preferably, in step S3, the color extracted from the color image to be replaced and the color set with the highest coincidence degree in the color set database are combined pairwise, and the RGB difference value of each combination of the two color sets is calculated through an RGB difference value formula, so as to obtain the corresponding color with the smallest difference between the colors extracted from the color image to be replaced, and the corresponding color is regarded as the corresponding target color.
To achieve the above object, the present invention further provides a color replacement system, comprising:
the color statistical analysis unit is used for acquiring color images to be replaced, performing color statistical analysis on the color images to be replaced and sequencing the color images;
the matching unit is used for extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree extracted by the color image to be replaced;
the target color obtaining unit is used for combining the colors extracted from the color images to be replaced and the colors of the color set with the highest coincidence degree in a pairwise manner to obtain target colors with the minimum difference of the colors extracted from the color images to be replaced;
and the color replacing unit is used for replacing the color extracted by the color image to be replaced with the target color and outputting the target color.
Compared with the prior art, the color replacement method and the color replacement system have the advantages that the color statistical analysis and the sequencing are carried out on the color images to be replaced, the N colors at the front in the extracted color sequencing are matched with the color set database established in advance to obtain the color set with the highest coincidence degree with the extracted color, the colors extracted from the color images to be replaced are combined with the colors of the color set with the highest coincidence degree in pairs to obtain the target colors with the minimum difference with the extracted colors, and finally the colors extracted from the color images to be replaced are replaced with the target colors, so that the purpose of automatic color replacement is achieved.
Drawings
FIG. 1 is a flowchart illustrating a color replacement method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a color replacement method according to another embodiment of the present invention;
FIG. 3 is a system architecture diagram of a color replacement system according to an embodiment of the present invention;
fig. 4 is a system architecture diagram of a color replacement system according to another embodiment of the present invention.
Detailed Description
Other advantages and capabilities of the present invention will be readily apparent to those skilled in the art from the present disclosure by describing the embodiments of the present invention with specific embodiments thereof in conjunction with the accompanying drawings. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention.
FIG. 1 is a flowchart illustrating a color replacement method according to an embodiment of the present invention. As shown in fig. 1, the color replacement method of the present invention includes the following steps:
s1, acquiring a color image to be replaced, performing color statistical analysis on the color image to be replaced, and sequencing the color image to be replaced.
In the embodiment of the invention, the colors of all pixel points of the image are statistically analyzed by taking the pixel points with the size of 1 × 1pixel as a unit, the color type and the distribution quantity of the color image to be replaced are obtained based on the RGB value of each pixel point of the image, and the colors are sorted according to the distribution quantity. Specifically, when a user wants to perform color replacement on an image, the user can upload the image through a terminal, such as a mobile phone, a computer, a touch screen, a notebook and other hardware devices, in the embodiment of the present invention, the uploaded image is an RGB mode color image and is composed of M × N pixel points, after the image is acquired, the colors of all the pixel points of the image are statistically analyzed by taking pixel points (i.e., one pixel point) with the size of 1 × 1pixel as a unit, and the RGB values of the pixel points of the image are integrated to obtain the color type and the distribution number of the image (i.e., the number of the pixel points included in each color type), and the colors are sorted according to the distribution number from large to small.
And S2, extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted colors of the color image to be replaced. That is, the present invention will obtain the color set of the RGB mode of each image by drawing a large number of images in advance, establish the color set database, and in step S2, compare the top N colors (i.e., RGB) in the color sequence of the color image to be replaced with the RGB values of each color set of the color set database established in advance, so as to obtain the color set with the highest coincidence degree with the extracted color of the color image to be replaced.
And S3, combining the colors extracted from the color image to be replaced and the colors of the color set with the highest coincidence degree pairwise to obtain the target colors with the minimum color difference extracted from the color image to be replaced.
Specifically, in step S3, combining the colors extracted from the color image to be replaced with the colors of the color set with the highest coincidence degree in the color set database by a combination method; and calculating the RGB difference value of each combination of the two color sets through an RGB difference value formula to obtain the corresponding color with the minimum color difference extracted from the user image, and taking the corresponding color as the target color.
For example, assume that the extracted colors of the color image to be replaced are: a. b, c, the colors of the color sets with the highest contact ratio in the color set database are respectively as follows: A. b, C and D, wherein the two color sets are respectively as follows: [ a, A ], [ a, B ], [ a, C ], [ a, D ], [ B, A ], [ B, B ], [ B, C ], [ B, D ], [ C, A ], [ C, B ], [ C, C ], [ C, D ].
Wherein, calculate the RGB difference value formula of each combination of both color sets, specifically as follows:
r1-r＜50
g1-g＜50
b1-b＜50
wherein, r1, g1, b1 represent the color set color RGB value with the highest degree of coincidence in the color set database, and r, g, b represent the RGB value of the extracted color of the user image.
And S4, replacing the color extracted from the color image to be replaced with the target color and outputting and displaying the target color. That is, the extracted color in the color image to be replaced is replaced with the target color obtained in step S3 and displayed on the terminal, thereby achieving the effect of color replacement.
Preferably, as shown in fig. 2, before step S1, a color replacement method of the present invention further includes:
and S0, establishing the color set database according to the obtained painting images by obtaining a large number of painting images.
In the embodiment of the invention, a large number of static paintings can be obtained through an art website, and color sets of RGB modes of all images are obtained based on a color clustering method, wherein one image corresponds to one color set, and the color types of each color set are different in number, so that a color set database is established.
The RGB color scheme is a color standard in the industry, and various colors are obtained by changing three color channels of red, green and blue and superimposing the three color channels on each other, wherein RGB is a color representing three channels of red, green and blue. Each color channel is divided into 256-step brightness, and when R = G = B =0, the color channel is the darkest black tone; when R = G = B =255, the white tone is brightest.
The color clustering method used in this step may specifically be a fuzzy C-means clustering method. The method comprises the following steps:
firstly, manually setting C pixel values for color clustering division, and clustering the pixel values in a pixel color space (namely, dividing the pixel color value of a current image into C categories) by combining a minimum distance principle to generate new color clustering division;
respectively calculating the central value of each color category according to the new cluster division;
and clustering the pixel values in the pixel color space again according to the new central value, and repeating the steps until the central value of the color category is unchanged, so that the image segmentation is realized, and the color clustering is finished.
For example: an image, through color clustering, the obtained RGB mode colors are respectively: [255, 250, 250], [102, 139, 139], [255, 228, 255], [192, 255, 62] \8230, the corresponding color set is: { [255, 250, 250], [102, 139, 139], [255, 228, 255], [192, 255, 62] \ 8230 }.
FIG. 3 is a system architecture diagram of a color replacement system according to an embodiment of the present invention. As shown in fig. 3, a color replacement system of the present invention comprises:
the color statistical analysis unit 301 is configured to obtain a color image to be replaced, perform color statistical analysis on the color image to be replaced, and sort the color image.
In the embodiment of the present invention, for the color image to be replaced, the color statistical analysis unit 301 performs statistical analysis on the colors of all the pixels of the image in units of pixels with the size of 1 × 1pixel, obtains the color type and the distribution number of the color image to be replaced based on the RGB values of the pixels of the image, and sorts the colors according to the distribution number. Specifically, when a user wants to perform color replacement on an image, the user may upload the image through a terminal, such as a mobile phone, a computer, a touch screen, a notebook, or other hardware devices, in a specific embodiment of the present invention, the uploaded image is an RGB mode color image and is composed of M × N pixels, after the image is obtained, the color statistical analysis unit 301 performs statistical analysis on the colors of all pixels of the image with pixels (i.e., one pixel) having a size of 1 × 1pixel as a unit, and synthesizes RGB values of the pixels of the image to obtain the color type and the distribution number of the image (i.e., the number of pixels included in each color type), and sorts the colors according to the distribution number from large to small.
The matching unit 302 is configured to extract the top N colors in the color sequence of the color image to be replaced, and match the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted color of the color image to be replaced. That is, the present invention will obtain the color set of the RGB mode of each image by drawing a large number of images in advance, and create a color set database, and the matching unit 302 will compare the top N colors (RGB) in the color sequence of the color image to be replaced with the RGB values of each color set in the created color set database, so as to obtain the color set with the highest color coincidence degree with the extracted color of the color image to be replaced.
And the target color obtaining unit 303 is configured to combine the color extracted from the color image to be replaced and the color set color with the highest coincidence degree in pairs to obtain a target color with the smallest color difference extracted from the color image to be replaced.
In the embodiment of the present invention, the target color obtaining unit 303 combines the extracted color of the color image to be replaced and the color of the color set with the highest coincidence degree in the color set database in pairs by a combination method, and then calculates the RGB difference value of each combination of the two color sets by using the RGB difference value formula, so as to obtain the corresponding color with the minimum color difference extracted from the user image, and regards the color as the target color.
For example, assume that the extracted colors of the color image to be replaced are: a. b and c, the colors of the color sets with the highest contact ratio in the color set database are respectively as follows: A. b, C and D, wherein the two color sets are respectively as follows: [ a, A ], [ a, B ], [ a, C ], [ a, D ], [ B, A ], [ B, B ], [ B, C ], [ B, D ], [ C, A ], [ C, B ], [ C, C ], [ C, D ].
Wherein, calculate the RGB difference value formula of each combination of both color sets, specifically as follows:
r1-r＜50
g1-9＜50
b1-b＜50
wherein, r1, g1, b1 represent the color set color RGB value with the highest degree of coincidence in the color set database, and r, g, b represent the RGB value of the extracted color of the user image.
And a color replacing unit 304, configured to replace the extracted color of the color image to be replaced with a target color and output and display the target color. That is, the color extracted in the color image to be replaced is replaced with the target color obtained by the target color obtaining unit 303 and displayed on the terminal, thereby achieving the effect of color replacement.
Preferably, as shown in fig. 4, a color replacement system of the present invention further comprises:
a color set database creating unit 300 configured to create the color set database based on the obtained drawing images by obtaining a large number of drawing images.
In the embodiment of the present invention, the color set database creating unit 300 may obtain a large number of static pictorial works through an art website, and create a color set of RGB modes of each image based on a color clustering method, where one image corresponds to one color set and the number of color types of each color set is different, thereby creating a color set database.
The color clustering method adopted by the color set database establishing unit 300 may specifically adopt a fuzzy C-means clustering method. The color clustering process is as follows:
firstly, setting C pixel values for color clustering division, and clustering the pixel values in a pixel color space (namely, dividing the pixel color value of a current image into C categories) by combining a minimum distance principle to generate new color clustering division;
respectively calculating the central value of each color category according to the new clustering division;
and clustering the pixel values in the pixel color space again according to the new central value, and repeating the operation until the central value of the color category is unchanged, so that the image segmentation is realized, and the color clustering is finished.
In summary, the color replacement method and system provided by the invention perform color statistical analysis and sorting on the color images to be replaced, match the top N colors in the extracted color sorting with the pre-established color set database to obtain the color set with the highest coincidence degree with the extracted colors, combine the colors of the extracted colors of the color images to be replaced and the colors of the color set with the highest coincidence degree two by two to obtain the target colors with the minimum difference with the extracted colors, and finally replace the colors of the color images to be replaced with the target colors, thereby achieving the purpose of automatic color replacement.
According to the invention, the user does not need to treat the color replacement area identification in advance, or manually select the replacement color, or the user does not need to have the artistic basic knowledge, the system can automatically find out the replacement color similar to the main color of the color image to be replaced according to the main color of the color image to be replaced by uploading the color image to be replaced through the terminal, the whole process of color replacement is automatically intelligent, manual intervention is not needed, the principle is simple, the calculated amount is small, the method is flexible and changeable, the method is suitable for color replacement of any image, the condition that the color of the traditional drawing image is unchanged is broken, and the drawing is rich and diversified.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Modifications and variations can be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be as set forth in the claims.
Claims (10)
1. A color replacement method comprising the steps of:
s1, acquiring a color image to be replaced, performing color statistical analysis on the color image to be replaced, and sequencing the color image to be replaced;
s2, extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted color of the color image to be replaced;
s3, combining the colors extracted from the color image to be replaced and the colors of the color set with the highest coincidence degree in a pairwise manner to obtain target colors with the minimum color difference extracted from the color image to be replaced;
and S4, replacing the color extracted from the color image to be replaced with the target color and outputting the target color.
2. A color replacement method according to claim 1, further comprising, before step S1, the steps of:
and S0, establishing the color set database according to the obtained painting images by acquiring a large number of painting images.
3. A color replacement method as claimed in claim 2, characterized in that: in step S0, a color set of RGB modes of each image is obtained for the acquired drawing image based on a color clustering method, and the color set database is established.
4. A color replacement method as claimed in claim 3, characterized in that: in the color set database, one image corresponds to one color set, and the color types of each color set are different in quantity.
5. A color replacement method as claimed in claim 3, characterized in that: in step S0, a fuzzy C-means clustering method is adopted to obtain a color set of the RGB modes of each image.
6. A color replacement method according to claim 5, characterized in that the fuzzy C-means clustering method comprises the following steps:
setting C pixel values for color clustering division, and clustering the pixel values in a pixel color space by combining a minimum distance principle to generate new color clustering division;
respectively calculating the central value of each color category according to the new cluster division;
and clustering the pixel values in the pixel color space again according to the new central value, and repeating the steps until the central value of the color category is unchanged, so that the image segmentation is realized, and the color clustering is finished.
7. A color replacement method as claimed in claim 1, characterized in that: in step S1, the statistical analysis is performed on the colors of all the pixels of the color image to be replaced by using pixels of 1 × 1pixel size as a unit, the color type and the distribution number of the color image to be replaced are obtained based on the RGB values of the pixels of the image, and the colors are sorted according to the distribution number.
8. A color replacement method as claimed in claim 1, characterized in that: in step S2, the first N colors in the color sequence of the color image to be replaced are extracted, and the RGB values of the N colors are respectively compared with the RGB values of each color set in the color set database established in advance, so as to obtain the color set with the highest coincidence degree with the extracted colors of the color image to be replaced.
9. A color replacement method as claimed in claim 1, characterized in that: in step S3, the colors extracted from the color image to be replaced and the colors of the color sets with the highest coincidence degree in the color set database are combined pairwise, and the RGB difference values of the combinations of the two color sets are calculated through an RGB difference value formula, so as to obtain the corresponding color with the minimum difference between the colors extracted from the color image to be replaced, and the corresponding color is regarded as the corresponding target color.
10. A color replacement system comprising:
the color statistical analysis unit is used for acquiring color images to be replaced, performing color statistical analysis on the color images to be replaced and sequencing the color images to be replaced;
the matching unit is used for extracting the top N colors in the color sequence of the color image to be replaced, and matching the top N colors with a pre-established color set database to obtain a color set with the highest color coincidence degree with the extracted color of the color image to be replaced;
the target color obtaining unit is used for combining the colors extracted from the color images to be replaced and the colors of the color set with the highest coincidence degree in a pairwise manner to obtain target colors with the minimum difference of the colors extracted from the color images to be replaced;
and the color replacing unit is used for replacing the color extracted by the color image to be replaced with the target color and outputting the target color.
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| JP2006203595A (en) * | 2005-01-21 | 2006-08-03 | Institute Of National Colleges Of Technology Japan | Device for partially replacing color in image color space and color partially replacing system |
| JP2009268000A (en) * | 2008-04-30 | 2009-11-12 | Nippon Telegr & Teleph Corp <Ntt> | Similar coloration producing device, method and program |
| CN105761202A (en) * | 2016-02-03 | 2016-07-13 | 武汉大学 | Color migration method of color images |
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| JP2006203595A (en) * | 2005-01-21 | 2006-08-03 | Institute Of National Colleges Of Technology Japan | Device for partially replacing color in image color space and color partially replacing system |
| JP2009268000A (en) * | 2008-04-30 | 2009-11-12 | Nippon Telegr & Teleph Corp <Ntt> | Similar coloration producing device, method and program |
| CN105761202A (en) * | 2016-02-03 | 2016-07-13 | 武汉大学 | Color migration method of color images |
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| 基于颜色重构的图像处理算法研究与应用;林贤煊;《中国优秀硕士学位论文全文数据库信息科技辑》;20180615(第06期);全文 * |
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