CN114998454B - Dynamic multi-color code generation and analysis method - Google Patents
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Abstract
The invention discloses a method for generating and analyzing a dynamic multi-color code, which belongs to the technical field of bar codes and comprises the steps of determining a color set system of a data graph, a color of a directional graph and a color of a positioning graph; constructing a functional graph consisting of a positioning graph, a data graph and a directional graph; constructing a color correction image and an information image; the analysis method comprises the steps of obtaining the color discrimination standard under the environment through the color correction image, and then analyzing the color in the information image according to the color discrimination standard.
Description
Technical Field
The invention relates to the technical field of bar codes in computer technology, also relates to the technical field of image recognition, in particular to a color recognition technology in an image, and particularly relates to a method for generating and analyzing a dynamic multi-color code.
Background
Along with rapid development of information intelligent technology and Internet of things, data volume demands are increasing, and the capability of two-dimensional code representation data needs to be expanded urgently, so that recognition of multiple colors is supported. The multi-color code is an image comprising multiple colors, which is proposed on the basis of the two-dimensional code, takes the colors as coding information, and can further increase the data representation capability and the expansion information capacity. However, the difficulty of identification is significantly increased due to the increase of colors, especially for dynamic display of multicolor images, and the colors are difficult to be distinguished accurately in the prior art, so that a rapid and accurate color analysis method needs to be developed for the generated dynamic multicolor images.
Disclosure of Invention
In order to solve the problems, the invention provides a method for generating and analyzing dynamic multi-color codes, which has the following technical scheme.
A method for generating dynamic multi-color codes comprises the following steps:
101. determining a color set system of the data graph, a color of the oriented graph and a color of the oriented graph, wherein the oriented graph is black, and the color in the color set system is different from the color of the oriented graph.
In this step, the color types of the data patterns may be 3, 4,5, 8, etc., the more the color types, the more the data information can be expressed, in order to improve the accuracy of the later analysis, the data pattern color sets are combined by using a color system with large differentiation, for example, when the color sets are seven colors, white, red, yellow, green, cyan, blue, magenta, red, yellow, dark green, light blue, dark blue, and purple may be selected; when the color sleeve is eight colors, white, red, yellow, dark green, light blue, dark blue and purple can be selected.
102. Constructing a functional graph, wherein the functional graph consists of a positioning graph, a data graph and a directional graph; the positioning graph is a rectangular frame, a plurality of matrix units are arranged in the rectangular frame of the positioning graph in an array mode, one of the matrix units is a directional graph, the other matrix units are data graphs, the directional graph cannot be located in the center of the rectangular frame, and otherwise, the initial position of the data graph during coding cannot be judged by combining the positioning graph; the number of the data patterns is not lower than the type of the colors in the color set, otherwise, the color correction image covering all the colors in the color set cannot be formulated at a later stage.
In this step, the number of matrix units may be selected according to the need, for example, 4×4,5×5,4×7, the larger the matrix order is, the more the data pattern is, the more the information content can be expressed, but the later recognition difficulty will be increased correspondingly. As a preferred embodiment, the number of the matrix units is determined according to the color set type of the data patterns, so that the number of the data patterns is in a multiple relationship with the color type in the color set, the occurrence frequency of the data patterns of each color in the later color correction image is the same, and the verification accuracy is improved.
103. Constructing a color correction image: each color in the color sleeve system is recycled to sequentially color each data graph until all the data graphs are colored, and the colors of adjacent data graphs are different; the positioning pattern is respectively colored with two or more different colors to generate a multi-frame color correction image.
104. Constructing an information image: according to the information to be encoded, the color in the color set is used as a basic encoding unit to color-encode the data graph in the functional graph; the positioning pattern is respectively colored with two or more different colors to generate multi-frame information images.
105. And sequentially and dynamically displaying the multi-frame color correction images and the multi-frame information images to form a dynamic multi-color code.
A method for analyzing dynamic multi-color codes comprises the following steps:
201. and acquiring color correction images and information images with different colors of the positioning graphics in the dynamic multi-color codes.
202. And respectively preprocessing the multi-frame color correction image and the multi-frame information image to obtain a primary regular color correction image and an information image of the uniform-size and positioning-removed graph.
As a specific implementation mode, the preprocessing process comprises the steps of determining positioning graph data by adopting a dynamic frame positioning method, cutting an image according to four vertex data of the positioning graph to obtain graphs (oriented graph and data graph) in a frame of the positioning graph, and then performing conventional operations such as rotation, parallel projection and the like on the graphs in the frame to obtain a primary regular color correction image and an information image with fixed sizes.
203. And obtaining the determination standard of each color in the color set by correcting the image through the primary regular color.
2031. And respectively performing multipoint sampling on the data graph and the directional graph in the primary regular color correction image to obtain RGB values of each matrix unit, and then converting the RGB values into HSV values.
2032. Since the brightness (V) of black is the smallest among the HSV values of all the colors, the smallest one of the brightness (V) of all the data patterns and the orientation patterns in the primary regular color correction image is determined as the orientation pattern.
2033. And rotating the primary regular color correction image to enable the orientation pattern to be positioned at a set position in the color correction image coding rule, thereby obtaining a secondary regular color correction image.
2034. And acquiring the color of each data graph in the primary regular color correction image according to a color correction image coding rule, calculating the HSV average value of the data graph with the same color and taking the HSV average value as the HSV measured value of the color in the color set.
2035. And calculating a saturation (S) score and a brightness (V) score according to the saturation (S) average value and the brightness (V) average value of each color in the color set system, and determining that the brightness (V) measured value is larger than the brightness (V) score and the saturation (S) measured value is smaller than the saturation (S) score as white.
The brightness (V) score is calculated as follows:
the saturation (S) score is calculated as follows:
wherein N is the type of color in the color set;
is the brightness of the ith color in the color set; />
Is the saturation of the ith color in the color set.
2036. The colors except white in the color set are sequenced according to the measured value of the hue (H value), the corrected hue (H value) range of the colors except white in the color set is determined, and the calculation formula is as follows:
in the method, in the process of the invention,
is the hue range of the ith color in the color set; />
Is the first one in the color setHue measurement values of i colors; />
Is the hue range of the Nth color in the color set; />
Is the measured value of the hue of the Nth color in the color set.
2037. Formulating a color discrimination standard: determining the color with the lowest brightness (V value) as black; determining that a color having a brightness (V) greater than a brightness (V) score and a saturation (S) less than a saturation (S) score is white; other colors are determined based on the determined correction tone (H value) range.
204. The method comprises the steps of obtaining information of an information image through the first regular information image and determining the color of a data graph in the information image by taking the color discrimination standard determined in the step 203 as a basis, and specifically comprises the following steps:
2041. respectively performing multipoint sampling on the data graph and the directional graph of the primary regular information image to obtain the RGB value of each matrix unit; the color space of the primary regular information image is converted from RGB to HSV.
2042. An orientation image is determined according to the color discriminant criteria of step 203.
2043. And rotating the primary regular information image to enable the orientation pattern to be positioned at a set position in the information image coding rule, thereby obtaining the secondary regular information image.
2044. According to the color discrimination criteria of step 203, a white data pattern in the primary regular information image is determined, and then a color data pattern thereof is determined.
205. And decoding each color of the secondary regular information image according to the decoding rule to obtain information.
Compared with the prior art, the invention sets the color correction image, corrects various colors of the color sleeve system under different environments, determines new color discrimination criteria related to the environments, and improves the recognition accuracy; in addition, the data graph and the positioning graph can be quickly acquired by using a dynamic frame positioning method after multi-frame dynamic images are adopted, so that the recognition rate can be improved.
Drawings
FIG. 1 is HSV values for eight colors in a color set of an embodiment of the present invention;
FIG. 2 is a functional diagram of an embodiment of the present invention;
FIG. 3 is a color corrected image of a positioning image of black according to an embodiment of the present invention;
FIG. 4 is a flow chart of a dynamic frame positioning method according to an embodiment of the present invention;
in the figure, 1, positioning graphics; 2. orientation graphics; 3. and (5) data graph.
Detailed Description
The technical solution of the present invention will be described in detail below for a clearer understanding of technical features, objects and advantageous effects of the present invention, but should not be construed as limiting the scope of the present invention. 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.
The invention will be further described with reference to the drawings and examples.
The method increases data representation capacity and expands information capacity through eight colors, and the embodiment comprises a method for generating dynamic eight-color codes, a method for analyzing eight-color images and a device for generating and analyzing eight-color images. Of course, those skilled in the art can also add or subtract color categories as desired based on this patent.
A method for generating dynamic eight-color codes comprises the following steps:
101. determining a color set system of the data graph, a color of the directional graph and a color of the positioning graph, wherein the directional graph adopts black, and the colors of the directional graph are white, black and blue; the color set has eight colors, which are respectively white, red, yellow, dark green, light blue, dark blue and purple. The HSV values for each color in the color set are shown in FIG. 1, which has good differentiation.
102. And constructing a functional graph, wherein the functional graph comprises a positioning graph, the positioning graph is a rectangular frame, 5X5 matrix units are arranged in the rectangular frame of the positioning graph in an array manner, one of 25 matrix units is an orientation graph, the rest is a data graph, and the orientation graph is positioned at the tail position of the matrix unit, as shown in fig. 2.
103. Constructing a color correction image: each color in the cyclic use color set is sequentially colored on each data graph until all the data graphs are colored, and the colors of adjacent data graphs are different, and as 24 data units exist, each color appears 3 times; the positioning pattern is colored white, black and blue, respectively, to generate three frames of color correction images, as shown in fig. 3, and fig. 3 shows the color correction image in which the positioning image is black.
104. Constructing an information image: according to the information to be encoded, the data graph in the functional graph is colored and encoded by taking eight colors in the color set as basic encoding units, namely, the data graph is encoded by adopting an octal encoding mode, and the codes of the colors are as follows: white 0, red 1, yellow 2, dark green 3, light green 4, light blue 5, dark blue 6, purple 7; the positioning pattern is respectively colored white, black and blue to generate three frames of information images.
105. And sequentially and dynamically displaying the three-frame color correction image and the three-frame information image to form a dynamic multi-color code.
A method for analyzing dynamic eight-color codes comprises the following steps:
201. and acquiring three frames of color correction images and information images of which the frame colors in the dynamic eight-color code are white, black and blue respectively.
202. And respectively preprocessing the three-frame color correction image and the three-frame information image to obtain a primary regular color correction image and an information image with uniform sizes and positioning removed graphics (trimming frames). The preprocessing method comprises the steps of determining positioning graph data by adopting a dynamic frame positioning method, wherein the specific process is shown in fig. 4, in addition, the preprocessing process also comprises the steps of cutting the image according to four vertex data of the positioning graph to obtain graphs (a directional graph and a data graph) in a frame of the positioning graph, and then carrying out conventional operations such as rotation, parallel projection and the like on the graphs in the frame to obtain a color correction image and an information image with fixed sizes.
203. The method comprises the following steps of obtaining the determination standard of each color in the data color set through the primary regular color correction image:
2031. and respectively carrying out 5-point sampling on the data graph and the orientation graph in the primary regular color correction image to obtain the RGB value of each matrix unit, and then converting the color space of the primary regular color correction image from the RGB value to the HSV value.
2032. Since the brightness value (V value) of black among the HSV values of all the colors is smallest, it is determined that the smallest one of all the data patterns and the orientation patterns in the primary regular color correction image is the orientation pattern.
2033. And rotating the primary regular color correction image to enable the directional pattern to be positioned at a set position in the color correction image coding rule, namely positioned at the lower right corner of the rectangular array, so as to obtain a secondary regular color correction image.
2034. Acquiring the color of each data graph in the primary regular color correction image according to a color correction image coding rule, calculating the HSV average value of the data graph with the same color and taking the HSV average value as the HSV measured value of the color in the color set;
2035. and calculating a saturation (S) score and a brightness (V) score according to the saturation (S) average value and the brightness (V) average value of each color in the color set system, and determining that the brightness (V) measured value is larger than the brightness (V) score and the saturation (S) measured value is smaller than the saturation (S) score as white.
The brightness (V) score is calculated as follows:
the saturation (S) score is calculated as follows:
wherein N is the type of color in the color set;
is the brightness of the ith color in the color set; />
Is the saturation of the ith color in the color set.
2036. The colors except white in the color set are sequenced according to the measured value of the hue (H value), the corrected hue (H value) range of the colors except white in the color set is determined, and the calculation formula is as follows:
in the method, in the process of the invention,
is the hue range of the ith color in the color set; />
A hue measurement value for the i-th color in the color set; />
Is the hue range of the Nth color in the color set; />
Is the measured value of the hue of the Nth color in the color set.
2037. Formulating a color discrimination standard: determining the color with the lowest brightness (V value) as black; determining that a color having a brightness (V) greater than a brightness (V) score and a saturation (S) less than a saturation (S) score is white; other colors are determined based on the determined correction tone (H value) range.
204. The method comprises the steps of obtaining data graph information in a primary regular information image and determining the color of the data graph according to the color discrimination standard obtained in the step 203, and specifically comprises the following steps:
2041. and respectively carrying out 9-point sampling on the data graph and the orientation graph of the primary regular information image to obtain the RGB value of each matrix unit, and then converting the color space of the primary regular information image from RGB to HSV.
2042. An orientation image is determined according to the color discriminant criteria of step 203.
2043. And rotating the primary regular information image to enable the orientation pattern to be positioned at a set position in the information image coding rule, thereby obtaining the secondary regular information image.
2044. According to the color discrimination criteria of step 203, the white data pattern in the primary regular information image is determined, and then the colors of other data patterns are determined.
205. And decoding each color of the secondary regular information image according to the decoding rule to obtain information.
There are many specific implementations of the 5-point and 9-point sampling, and this embodiment provides one implementation of the following: the four vertexes in the frame of the positioning graph, namely the four vertex coordinates (x i ,y i ) Since the size of the combined image is fixed, and the length a and the width b of a single matrix are set, the central coordinates of each unit matrix can be obtained, and for a single matrix unit, a plurality of points around the center can be obtained as sampling points, and the sampling points can also comprise the central point.
The present invention has been disclosed in the foregoing description of preferred embodiments, but it will be understood by those skilled in the art that these embodiments are merely for the purpose of describing the present invention and should not be construed as limiting the scope of the present invention. Further modifications of the invention without departing from the principles of the invention are also considered to be within the scope of the invention.
Claims (6)
1. The method for analyzing the dynamic multi-color code is characterized in that the dynamic multi-color code is generated by adopting the method comprising the following steps:
101. determining a color sleeve system of the data graph, a color of the oriented graph and a color of the oriented graph, wherein the oriented graph is black, and the color in the color sleeve system is not overlapped with the color of the oriented graph;
102. constructing a functional graph, wherein the functional graph comprises a positioning graph, the positioning graph is a rectangular frame, a plurality of matrix units are arranged in the rectangular frame of the positioning graph in an array manner, one of the matrix units is a directional graph, the other matrix units are data graphs, the directional graph is not positioned in the center of the rectangular frame, and the number of the data graphs is not lower than the type of the colors in the color set system;
103. constructing a color correction image: each color in the color sleeve system is recycled to sequentially color each data graph until all the data graphs are colored, and the colors of adjacent data graphs are different; respectively coloring the positioning graph with two or more different colors to generate multi-frame color correction images;
104. constructing an information image: according to the information to be encoded, the color in the color set is used as a basic encoding unit to color-encode the data graph in the functional graph; respectively coloring the positioning graph with two or more different colors to generate multi-frame information images;
105. sequentially and dynamically displaying the multi-frame color correction images and the multi-frame information images to form a dynamic multi-color code;
the analysis method of the dynamic multi-color code comprises the following steps:
201. acquiring color correction images and information images with different colors of the positioning graphics in the dynamic multi-color codes;
202. respectively preprocessing the multi-frame color correction image and the multi-frame information image to obtain a primary regular color correction image and an information image of a uniform-size and positioning-removed image;
203. the discrimination criteria of each color in the color set system are obtained through the primary regular color correction image, and the method specifically comprises the following steps:
2031. respectively performing multipoint sampling on the data graph and the directional graph in the primary regular color correction image to obtain RGB values of each matrix unit, and then converting the RGB values into HSV values;
2032. determining that the least brightness of all data graphs and oriented graphs in the primary regular color correction image is the oriented graph;
2033. rotating the primary regular color correction image to enable the orientation graphic to be positioned at a set position in a color correction image coding rule, so as to obtain a secondary regular color correction image;
2034. acquiring the color of each data graph in the primary regular color correction image according to a color correction image coding rule, calculating the HSV average value of the data graph with the same color and taking the HSV average value as the HSV measured value of the color in the color set;
2035. calculating a saturation secondary value and a brightness secondary value according to the saturation average value and the brightness average value of each color in the color set, and determining that the brightness measured value is larger than the brightness secondary value and the saturation measured value is smaller than the saturation secondary value and is white;
the brightness score is calculated as follows:
the saturation binary value is calculated as follows:
wherein N is the type of color in the color set; v (V) i A brightness measurement value for the ith color in the color family; s is S i A saturation measurement for the i-th color in the color set;
2036. the colors except white in the color set are sequenced according to the size of the tone measurement value, and the correction tone range of the colors except white in the color set is determined, wherein the calculation formula is as follows:
in Range i Is the hue range of the ith color in the color set; h i A hue measurement value for the i-th color in the color set; range N Is the hue range of the Nth color in the color set; h N A hue measurement value for the nth color in the color set;
2037. formulating a color discrimination standard: determining the color with the lowest brightness as black; determining that the color with brightness greater than the brightness score and saturation less than the saturation score is white; judging other colors according to the corrected tone range;
204. the method comprises the steps of obtaining data graph information in a primary regular information image and determining the color of the data graph according to the color discrimination standard obtained in the step 203, and specifically comprises the following steps:
2041. respectively performing multipoint sampling on the data graph and the directional graph of the primary regular information image to obtain the RGB value of each matrix unit; then converting the color space of the primary regular information image from RGB values to HSV values;
2042. determining an orientation image according to the color discrimination criteria of step 203;
2043. rotating the primary regular information image to enable the orientation graph to be located at a set position in an information image coding rule, so that a secondary regular information image is obtained;
2044. according to the color discrimination standard in step 203, firstly determining white data patterns in the secondary regular information image, and then determining the colors of other data patterns;
205. and decoding the data graph in the secondary regular information image according to the decoding rule to obtain information.
2. The method according to claim 1, wherein in step 101, the color sets have 8 colors, which are white, red, yellow, dark green, light blue, dark blue, and purple.
3. The method according to claim 2, wherein the matrix unit in step 102 is a 5×5 matrix.
4. A method of resolving a dynamic multi-color code according to claim 3, wherein the directional pattern is located at the first or last position of the matrix unit in step 102.
5. A method of resolving a dynamic multi-color code according to claim 3, wherein the positioning patterns are white, black and blue, respectively.
6. A method of resolving a dynamic multi-color code as defined in claim 1, wherein the preprocessing in step 202 includes determining the location graphic data using a dynamic frame location method.
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