Intelligent display system and method for art design teaching

Through an intelligent display system, the light color temperature is detected on teachers and students, and the image of art design works is corrected and offset, the problem that traditional systems cannot present actual colors is solved, and the accuracy of copying and teaching efficiency are improved.

CN119316727AInactive Publication Date: 2025-01-14南昌理工学院

Patent Information

Application Number
CN202411866171.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-01-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional art design teaching and display system cannot present the actual color of the teacher's works under the light conditions in which the students are in, resulting in the wrong selection and color adjustment of the pigment when copying, resulting in the color deviation of the works.

Method used

Design an intelligent display system to generate correction and offset work images through light color temperature detection on the teacher and student sides to ensure that the color display of the image in the student environment matches the color of the teacher environment.

Benefits of technology

It improves the accuracy of pigment modulation when copying, enhances the understanding of artistic design, and improves teaching efficiency.

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Abstract

The invention discloses an intelligent display system and method for art design teaching, and belongs to the technical field of art teaching, and the method specifically comprises the steps: shooting a canvas image in the drawing process of a teacher, synthesizing the canvas image into a work image, and recording a white balance parameter in the shooting parameters of the canvas image; detecting light color temperature values of environments where teachers and students are located by using a sensor, and respectively marking the light color temperature values as a source color temperature value and a target color temperature value; correcting a white balance parameter of the work image according to the source color temperature value to generate a corrected work image; setting a standard interval based on the source color temperature value, and when the target color temperature value is in the standard interval, directly displaying a corrected work image at a student terminal; when the target color temperature value is not in the standard interval, respectively calculating tristimulus values corresponding to the two color temperature values, constructing a color matrix, shifting image pixels by using the color matrix, and outputting a shifted image; according to the invention, the teaching efficiency in art design education is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of art teaching, and in particular to an intelligent display system and method for art design teaching. Background Art

[0002] Art design is an independent art discipline that has practical applications in many aspects of modern life: such as interior and exterior design, product packaging design, clothing design, and environmental landscape design. Art design can improve the functionality and aesthetics of people’s daily lives, enhance our visual enjoyment, and subtly influence cultural communication.

[0003] Due to the particularity of the subject, art design teaching often involves physical display, and teachers need to display actual painting design works for students to refer to and copy. Today's intelligent display system can support online display of works, allowing students to watch and learn online, solving the problem that traditional teaching models are limited by time and place.

[0004] However, the current traditional display system usually chooses to restore the color of the teacher's work, but cannot present the actual color of the teacher's work under the light conditions of the students. Since the environment in which the teacher creates the painting is usually a standard environment, and the students' creation environment is mostly not a standard creation environment, the color temperature change of the environment will affect the actual display effect of the color of the pigment, causing the human eye to misjudge the color used to reproduce the teacher's painting. This may cause students to make incorrect pigment selection or color adjustment when copying, resulting in a large color deviation between the final copy and the teacher's work, deviating from the original design concept of the work. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent display system and method for art design teaching to solve the following technical problems: Traditional display systems usually choose to restore the colors of teachers' works, but cannot present the actual colors of teachers' works under the lighting conditions of students. Since the environment in which teachers create paintings is usually a standard environment, while the environment in which students create paintings is mostly not a standard environment, the color temperature change of the environment will affect the actual display effect of the color of the pigment, causing the human eye to misjudge the color used to reproduce the teacher's painting. This may cause students to make incorrect pigment selections or color adjustments when copying, resulting in a large color deviation between the final copy and the teacher's work, deviating from the original design concept of the work.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent display system for art design teaching, comprising: The teacher-side acquisition module is used to capture canvas images at different time points during the teacher's painting process and synthesize them into work images. Based on the sensor, the color temperature value K1 of the ambient light at the corresponding node and the white balance parameter in the canvas image shooting parameters are recorded, and the color temperature value K1 is marked as the source color temperature value K1; In the teacher-side acquisition module, the specific steps of synthesizing the work image are as follows: Step 1: Mark the time nodes t1, t2, ..., t for the captured canvas image m , m is a positive integer; Step 2: Set the time node t k The canvas image is marked as P k , k=2,3,...,m, and the time node t k-1 The canvas image is marked as P k-1 ; Step 3: Set the repetition threshold b and compare the canvas image P k With canvas image P k-1 The repetition of all pixel RGB values ​​in the image is calculated, and the pixel area with repetition lower than the threshold value b is screened to generate a difference image, and the time node t is marked for the difference image. k ; Step 4: Convert the canvas image at time node t1 and all difference images into layers, and overlay the layers in the order of time nodes to synthesize the work image; The student-side light detection module is used to detect the light color temperature value K2 of the student's painting environment using a sensor and mark it as the target color temperature value K2; An image correction module, used to correct the white balance parameters of the work image according to the source color temperature value K1, and generate a corrected work image; The student-side direct display module is used to set a standard interval [K1-a, K1+a] based on the source color temperature value K1, where a is a preset error, and to determine whether the target color temperature value is within the standard interval. If it is within the standard interval, the corrected work image is directly displayed on the student side; The student-side offset display module is used to obtain the spectral tristimulus values ​​X1, Y1, Z1 corresponding to the source color temperature value and the spectral tristimulus values ​​X2, Y2, Z2 corresponding to the target color temperature value when the target color temperature value is not within the standard range. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue color system. A 3×3 color matrix G is constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​R1, G1, B1 of all pixels of the corrected work image are input into the color matrix G. The offset pixel RGB values ​​R2, G2, B2 are output through the color matrix G calculation. The offset work image is generated based on the offset pixel RGB values, and the corrected work image and the offset work image are displayed to students on the same interface.

[0007] As a further solution of the present invention: in the teacher-side acquisition module and the student-side light detection module, the sensor is used to measure the color temperature value of the light above the canvas used for painting.

[0008] As a further solution of the present invention: In the student-side offset display module, the specific process of obtaining the spectral tristimulus values ​​corresponding to different ambient color temperatures is as follows: Step 1: Divide the visible light wavelength λ[380nm,780nm] into n intervals, n≥80, and calculate the contribution value A of the interval to the tristimulus value of the continuous wavelength at the wavelength of the center point of all the divided intervals j λ i , B j λ i , C j λ i , i=1,2,...,n,j=1,2, the calculation formula is: A j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^(-1); B j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*y(λ i )); C j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*z(λ i )); y(λi ) = y'(λ i ); z(λ i ) = z'(λ i ) / y'(λ i ); where λ i Indicates the wavelength of the center point of the divided interval, K j is the ambient color temperature, C1 and C2 are constants, C1=3.7418×108W·m -2 μm 4 , C2 = 14388 μm·K, where y'(λ i ) and z'(λ i ) is the wavelength λ in the CIE 1931 color matching function table i The corresponding function value; Step 2: By accumulating the contribution values ​​of the three stimulus values ​​in n intervals, the approximate calculation of numerical integration is performed to obtain the unnormalized three stimulus values ​​X under continuous wavelengths. j ', Y j ', Z j ', the calculation formula is: ; ; ; Where Δλ is the length of the divided wavelength interval; Step 3: Normalize the three stimulus values, the normalization coefficient p=1 / Y j ', then the normalized calculation formula is: X j =p*X j '; Y j =p*Y j '; Z j =p*Z j '; X j , Y j , Z j That is, the true tristimulus value of any color temperature at continuous wavelengths.

[0009] As a further solution of the present invention: In the student-side offset display module, the specific process of obtaining the color matrix is ​​as follows: Substitute the tristimulus values ​​corresponding to the source color temperature and the target color temperature into the matrix formula: ; Using Gaussian elimination, we can solve a 3×3 matrix: ; The matrix G is the color matrix, where G q1 +G q2 +G q3 =1,q=1,2,3.

[0010] As a further solution of the present invention: in the student-side offset display module, the specific process of generating the offset image is as follows: The pixel RGB values ​​R1, G1, and B1 of the canvas image are input into the matrix G for operation to obtain the offset pixel RGB values ​​R2, G2, and B2. The calculation formula is: R2=R1*G11+R1*G12+R1*G13; G2=G1*G21+G1*G22+G1*G23; B2=B1*G31+B1*G32+B1*G33; Generate an offset image based on the offset pixel RGB values.

[0011] As a further solution of the present invention: in the image correction module, the white balance parameters of each time node layer are corrected according to the source color temperature value, a node correction image is generated, and it is synthesized into a corrected work image.

[0012] As a further solution of the present invention: the student-side direct-output display module and the student-side offset display module are also used to display the layer corresponding to any time node of the corrected work image and / or the offset work image according to the student's selection.

[0013] The present invention also includes an intelligent display method for art design teaching, which is applied to the above-mentioned intelligent display system for art design teaching, including: The canvas images at different time points during the teacher's painting process are photographed and synthesized into the work image, and the color temperature value K1 of the ambient light at the corresponding node and the white balance parameter in the canvas image shooting parameters are recorded based on the sensor, and the color temperature value K1 is marked as the source color temperature value K1; Use the sensor to detect the light color temperature value K2 of the student's painting environment and mark it as the target color temperature value K2; Correcting the white balance parameters of the work image according to the source color temperature value K1 to generate a corrected work image; A standard interval [K1-a, K1+a] is set based on the source color temperature value K1, where a is a preset error, and it is determined whether the target color temperature value is within the standard interval. If it is within the standard interval, the corrected work image is directly displayed on the student terminal; When the target color temperature value is not within the standard range, the corresponding spectral tristimulus values ​​X1, Y1, Z1 under the source color temperature value and the corresponding spectral tristimulus values ​​X2, Y2, Z2 under the target color temperature value are obtained. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue color system. A 3×3 color matrix G is constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​R1, G1, B1 of all pixels of the corrected work image are input into the color matrix G. The offset pixel RGB values ​​R2, G2, B2 are output through the color matrix G calculation. The offset work image is generated based on the offset pixel RGB values, and the corrected work image and the offset work image are displayed to students on the same interface.

[0014] Beneficial effects of the present invention: The present invention performs pixel shifting on the captured image of the teacher's painting work by collecting the light color temperature values ​​of the painting environment at the teacher end and the student end respectively. Since the change of light color temperature may cause the same painting work to produce different color display effects, and the students need to prepare the pigment of the same color as the teacher when copying the teacher's work, but the traditional display system usually chooses to restore the color of the teacher's work, but cannot present the actual color displayed by the teacher's work under the light conditions of the students, which may cause the students to make wrong judgments on the pigment selection and color adjustment. Therefore, the present invention performs correction and shifting on the image of the teacher's painting work according to the light color temperature value of the student's environment, generates an offset image, ensures that the image of the teacher's work finally presents the actual color in the student's environment, enables the students to perform actual color adjustment according to the offset work image, and simulates the influence of the light color temperature of the student's environment on the color of the teacher's work; thereby improving the accuracy of the students in preparing the pigment color when copying the teacher's work, deepening the students' understanding of art design, and further improving the teaching efficiency in art design education. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 The present invention is a module schematic diagram of an intelligent display system for art design teaching. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1As shown, the present invention is an intelligent display system for art design teaching, comprising: The teacher-side acquisition module uses a camera to capture images of the teacher's paintings on the canvas at different time points when the teacher is teaching the painting, and synthesizes the images of the works captured at different time points into one image. During the shooting process, the white balance parameters in the camera shooting parameters are also recorded synchronously, and the color temperature value of the ambient light K1=6500K at the corresponding node is measured and recorded synchronously using a color temperature meter, and K1 is marked as the source color temperature value K1; The light detection module on the student side uses a color temperature meter to measure and record the light color temperature value K2=5536K of the student's painting environment, and marks it as the target color temperature value K2; The image correction module corrects the white balance parameters of the synthesized image according to the source color temperature value, so that the image is restored to the real color effect presented under the light color temperature of the teacher's environment; The student-side direct display module, since the creative environment of the teacher is generally a standard creative environment, a standard range [6000K, 6400K] can be directly set according to the source color temperature value K1. When the light color temperature value of the student's creative environment is within the standard range, this module will directly display the synthesized image after parameter white balance correction; The student-side offset display module is used when the light color temperature value of the student's creative environment is not within the standard range. The corresponding spectral tristimulus values ​​X1, Y1, Z1 under the source color temperature value and the corresponding spectral tristimulus values ​​X2, Y2, Z2 under the target color temperature value are obtained by calculation. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue tricolor system. A 3×3 color matrix G can be constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​of all pixels of the corrected work image are calculated through the color matrix G to obtain the offset pixel RGB values, and a new offset work image is generated according to the offset pixel RGB values. Finally, the corrected work image and the offset work image are displayed to students on the same interface.

[0019] In a preferred embodiment of the present invention, in the teacher-side acquisition module and the student-side light detection module, when the color temperature measuring instrument measures the color temperature value of the environment in which the teacher and the student are located, the specific location of the measurement is the area above the canvas used for painting creation.

[0020] In another preferred embodiment of the present invention, in the student-side offset display module, the specific process of obtaining the spectral tristimulus values ​​corresponding to the color temperature values ​​of the light in the environment where the teacher and the student are painting is as follows: Step 1: Divide the visible light wavelength λ[380nm,780nm] into 80 intervals. In the actual division process, the more intervals are divided, the higher the calculation accuracy is. The appropriate number of intervals can be divided according to the actual accuracy requirements. Take the wavelength value of the center point of each small wavelength interval divided, and calculate the contribution value A of the wavelength interval to the tristimulus value of the entire visible light wavelength interval. j λ i , B j λ i , C j λ i , i=1,2,...,n,j=1,2, the calculation process of the center point wavelength is: Central wavelength = (starting wavelength + ending wavelength) / 2; Interval 1: Central wavelength = (380 + 385) / 2 = 382.5 nm; Interval 2: Central wavelength = (385 + 390) / 2 = 387.5 nm; … Interval 80: Central wavelength = (775 + 780) / 2 = 777.5 nm; Substitute all center point wavelengths into the calculation formula for the tristimulus contribution value: A j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^(-1); B j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*y(λ i )); C j λ i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*z(λ i )); y(λ i ) = y'(λ i ); z(λ i ) = z'(λ i ) / y'(λ i ); The above formula is converted from Planck's blackbody radiation calculation formula. Planck's blackbody radiation formula describes the distribution of radiation energy emitted by an ideal object, namely a blackbody, at a given temperature. The definition of color temperature is that when a blackbody is heated to a certain temperature, the color of the light it emits matches the color of the light source to be described. That specific temperature value is defined as the color temperature of the light source. Therefore, the blackbody temperature T in the original Planck's blackbody radiation calculation formula can be directly replaced by the color temperature value K. j To replace. i Indicates the wavelength of the center point of the divided interval, K j is the ambient color temperature, C1 and C2 are constants, C1=3.7418×108W·m -2 μm 4 , C2 = 14388 μm·K, where y'(λ i ) and z'(λ i ) is the wavelength λ in the CIE 1931 color matching function table i The corresponding function value needs to be consistent with the data units during calculation. Step 2: By accumulating the contribution values ​​of small wavelength intervals and performing approximate numerical integration, the unnormalized tristimulus value X at continuous wavelengths is obtained. j ', Y j ', Z j ', the calculation formula is: ; ; ; Where Δλ is the length of the divided wavelength interval. Compared with the original numerical integration method required to calculate the tristimulus values, the calculation process of the contribution value accumulation method is simpler and avoids the problem that complex definite integral functions are difficult to solve; Step 3: Normalize the tristimulus values ​​obtained above. The purpose of normalization is to convert the data into the same numerical range to avoid data overflow or underflow, so that the processed data is more standardized in subsequent use. According to the provisions of the International Illumination Commission (CIE): When the standard color temperature is D65=6500K, the tristimulus value contribution value at λ=550nm is 1, so the tristimulus value normalization coefficient p=1 / Y at any color temperature can be obtained. j ', the principle is to ensure that under any color temperature condition, the Y value of the three stimulus values ​​is 1, and the normalization calculation formula is: X j =p*X j '; Y j =p*Y j '; Z j =p*Z j '; X j , Y j , Z j That is, the true tristimulus values ​​corresponding to any color temperature value at continuous wavelengths.

[0021] In another preferred embodiment of the present invention, the specific process of obtaining the color matrix by the student-side offset display module is as follows: Substitute the tristimulus values ​​corresponding to the source color temperature and the target color temperature into the matrix formula: ; Using Gaussian elimination, we can solve a 3×3 matrix: ; The matrix G is the color matrix. The color matrix is ​​used to correct the color of the image in digital image processing. The color performance of the image is changed by adjusting the weights of the three color channels R, G, and B in the pixel. When adjusting the color channel, the matrix must meet the constraint condition G. q1 +G q2 +G q3 =1, q=1, 2, 3. The purpose of adding constraints is to avoid color distortion caused by excessive adjustment when offsetting pixel RGB values.

[0022] In another preferred embodiment of the present invention, in the student-side offset display module, the specific process of generating the offset image is as follows: Detect all pixel RGB values ​​R1, G1, B1 of the canvas image, input the pixel RGB values ​​into the matrix G for operation, and obtain the offset pixel RGB values ​​R2, G2, B2. The calculation formula is: R2=R1*G11+R1*G12+R1*G13; G2=G1*G21+G1*G22+G1*G23; B2=B1*G31+B1*G32+B1*G33; Generate an offset image based on the offset pixel RGB values.

[0023] The principle of using the color matrix to shift image pixels is that the three primary colors can be mixed to form any color, so to adjust a certain color, you only need to change the mixing ratio of the three primary colors. The color matrix is ​​constructed based on the three-dimensional model of the three primary colors and the color temperature values ​​of two different environments. By shifting the RGB values ​​of the image pixels through the color matrix, the image color can be shifted synchronously, so that the pixel color of the final shifted image conforms to the real color seen by the human eye at the target color temperature value.

[0024] In another preferred embodiment of the present invention, the teacher-side acquisition module needs to perform a synthesis operation of the work image. The purpose of this operation is to eliminate the influence of different colors caused by different drying degrees of the pigment during painting. The specific steps are: Step 1: Mark the time nodes t1, t2, ..., t for the captured canvas image m , m is a positive integer; Step 2: Set the time node t k The canvas image is marked as P k , k=2,3,...,m, and the time node t k-1 The canvas image is marked as P k-1 ; Step 3: Set the repetition threshold b and compare the canvas image P k With canvas image P k-1 The repetition of all pixel RGB values ​​in the image is calculated, and the pixel area with repetition lower than the threshold value b is screened to generate a difference image, and the time node t is marked for the difference image. k ,In practical applications, the selection of the repetition threshold needs to ,determine the specific value based on the actual teaching needs and ,the learning algorithm in different scenarios; Step 4: Convert the canvas image at time node t1 and all difference images into layers, and overlay the layers in the order of time nodes to synthesize the work image.

[0025] In a preferred case of this embodiment, in the image correction module, the white balance parameters of each time node layer are corrected according to the source color temperature value, a node correction image is generated, and the images are synthesized into a corrected work image.

[0026] In another preferred situation of the present embodiment, students can freely view the layers corresponding to any time node of the corrected work image and / or offset work image according to their personal choice.

[0027] The present invention also includes an intelligent display method for art design teaching, which is applied to the above-mentioned intelligent display system for art design teaching, including: The canvas images at different time points during the teacher's painting process are photographed and synthesized into the work image, and the color temperature value K1 of the ambient light at the corresponding node and the white balance parameter in the canvas image shooting parameters are recorded based on the sensor, and the color temperature value K1 is marked as the source color temperature value K1; Use the sensor to detect the light color temperature value K2 of the student's painting environment and mark it as the target color temperature value K2; Correcting the white balance parameters of the work image according to the source color temperature value K1 to generate a corrected work image; A standard interval [K1-a, K1+a] is set based on the source color temperature value K1, where a is a preset error, and it is determined whether the target color temperature value is within the standard interval. If it is within the standard interval, the corrected work image is directly displayed on the student terminal; When the target color temperature value is not within the standard range, the corresponding spectral tristimulus values ​​X1, Y1, Z1 under the source color temperature value and the corresponding spectral tristimulus values ​​X2, Y2, Z2 under the target color temperature value are obtained. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue color system. A 3×3 color matrix G is constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​R1, G1, B1 of all pixels of the corrected work image are input into the color matrix G. The offset pixel RGB values ​​R2, G2, B2 are output through the color matrix G calculation. The offset work image is generated based on the offset pixel RGB values, and the corrected work image and the offset work image are displayed to students on the same interface.

[0028] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent display system for art design teaching, characterized in that: include: The teacher-side acquisition module is used to capture canvas images at different time points during the teacher's painting process and synthesize them into work images. Based on the sensor, the color temperature value K1 of the ambient light at the corresponding node and the white balance parameter in the canvas image shooting parameters are recorded, and the color temperature value K1 is marked as the source color temperature value K1; In the teacher-side acquisition module, the specific steps of synthesizing the work image are as follows: Step 1: Mark the time nodes t1, t2, ..., t for the captured canvas image m , m is a positive integer; Step 2: Set the time node t k The canvas image is marked as P k , k=2,3,...,m, and the time node t k-1 The canvas image is marked as P k-1 ; Step 3: Set the repetition threshold b and compare the canvas image P k With canvas image P k-1 The repetition of all pixel RGB values ​​in the image is calculated, and the pixel area with repetition lower than the threshold value b is screened to generate a difference image, and the time node t is marked for the difference image. k ; Step 4: Convert the canvas image at time node t1 and all difference images into layers, and overlay the layers in the order of time nodes to synthesize the work image; The student-side light detection module is used to detect the light color temperature value K2 of the student's painting environment using a sensor and mark it as the target color temperature value K2; An image correction module, used to correct the white balance parameters of the work image according to the source color temperature value K1, and generate a corrected work image; The student-side direct display module is used to set a standard interval [K1-a, K1+a] based on the source color temperature value K1, where a is a preset error, and to determine whether the target color temperature value is within the standard interval. If it is within the standard interval, the corrected work image is directly displayed on the student side; The student-side offset display module is used to obtain the spectral tristimulus values ​​X1, Y1, Z1 corresponding to the source color temperature value and the spectral tristimulus values ​​X2, Y2, Z2 corresponding to the target color temperature value when the target color temperature value is not within the standard range. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue color system. A 3×3 color matrix G is constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​R1, G1, B1 of all pixels of the corrected work image are input into the color matrix G. The offset pixel RGB values ​​R2, G2, B2 are output through the color matrix G calculation. The offset work image is generated based on the offset pixel RGB values, and the corrected work image and the offset work image are displayed to students on the same interface.

2. The intelligent display system for art design teaching according to claim 1, characterized in that: In the teacher-side acquisition module and the student-side light detection module, sensors are used to measure the color temperature of the light above the canvas used for painting.

3. The intelligent display system for art design teaching according to claim 1 is characterized in that: In the student-side offset display module, the specific process of obtaining the spectral tristimulus values ​​corresponding to different ambient color temperatures is as follows: Step 1: Divide the visible light wavelength λ[380nm,780nm] into n intervals, n≥80, and calculate the contribution value A of the interval to the tristimulus value of the continuous wavelength at the wavelength of the center point of all the divided intervals j λ i , B j λ i , C j λ i , i=1,2,...,n,j=1,2, the calculation formula is: A j l i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^(-1); B j l i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*y(λ i )); C j l i =(C1 / λ i ^5)*(e^(C2 / (λ i K j ))-1)^((-1)*z(λ i )); y(λ i ) = y'(λ i ); z(λ i ) = z'(λ i ) / y'(λ i ); where λ i Indicates the wavelength of the center point of the divided interval, K j is the ambient color temperature, C1 and C2 are constants, C1=3.7418×108W·m -2 μm 4 , C2 = 14388 μm·K, where y'(λ i ) and z'(λ i ) is the wavelength λ in the CIE 1931 color matching function table i The corresponding function value; Step 2: By accumulating the contribution values ​​of the three stimulus values ​​in n intervals, the approximate calculation of numerical integration is performed to obtain the unnormalized three stimulus values ​​X under continuous wavelengths. j ', Y j ', Z j ', the calculation formula is: ; ; ; Where Δλ is the length of the divided wavelength interval; Step 3: Normalize the three stimulus values, the normalization coefficient p=1 / Y j ', then the normalized calculation formula is: X j =p*X j '; AND j =p*Y j '; WITH j =p*Z j '; X j , Y j , Z j That is, the true tristimulus value of any color temperature at continuous wavelengths.

4. The intelligent display system for art design teaching according to claim 3 is characterized in that: In the student-side offset display module, the specific process of obtaining the color matrix is ​​as follows: Substitute the tristimulus values ​​corresponding to the source color temperature and the target color temperature into the matrix formula: ; Using Gaussian elimination, we can solve a 3×3 matrix: ; The matrix G is the color matrix, where G q1 +G q2 +G q3 =1,q=1,2,3.

5. The intelligent display system for art design teaching according to claim 4 is characterized in that: In the student-side offset display module, the specific process of generating the offset image is as follows: The pixel RGB values ​​R1, G1, and B1 of the canvas image are input into the matrix G for operation to obtain the offset pixel RGB values ​​R2, G2, and B2. The calculation formula is: R2=R1*G11+R1*G12+R1*G13; G2=G1*G21+G1*G22+G1*G23; B2=B1*G31+B1*G32+B1*G33; Generate an offset image based on the offset pixel RGB values.

6. The intelligent display system for art design teaching according to claim 1, characterized in that: In the image correction module, the white balance parameters of each time node layer are corrected according to the source color temperature value, a node correction image is generated, and the image is synthesized into a corrected work image.

7. The intelligent display system for art design teaching according to claim 6, characterized in that: The student-side direct display module and the student-side offset display module are also used to display the layer corresponding to any time node of the corrected work image and / or the offset work image according to the student's selection.

8. An intelligent display method for art design teaching, applied to an intelligent display system for art design teaching as claimed in any one of claims 1 to 7, characterized in that: include: The canvas images at different time points during the teacher's painting process are photographed and synthesized into the work image, and the color temperature value K1 of the ambient light at the corresponding node and the white balance parameter in the canvas image shooting parameters are recorded based on the sensor, and the color temperature value K1 is marked as the source color temperature value K1; Use the sensor to detect the light color temperature value K2 of the student's painting environment and mark it as the target color temperature value K2; Correcting the white balance parameters of the work image according to the source color temperature value K1 to generate a corrected work image; A standard interval [K1-a, K1+a] is set based on the source color temperature value K1, where a is a preset error, and it is determined whether the target color temperature value is within the standard interval. If it is within the standard interval, the corrected work image is directly displayed on the student terminal; When the target color temperature value is not within the standard range, the corresponding spectral tristimulus values ​​X1, Y1, Z1 under the source color temperature value and the corresponding spectral tristimulus values ​​X2, Y2, Z2 under the target color temperature value are obtained. The tristimulus values ​​are the amounts of three primary color stimuli required to achieve color matching with the light to be measured in the red, green and blue color system. A 3×3 color matrix G is constructed using the spectral tristimulus values ​​under two color temperature values. The original RGB values ​​R1, G1, B1 of all pixels of the corrected work image are input into the color matrix G. The offset pixel RGB values ​​R2, G2, B2 are output through the color matrix G calculation. The offset work image is generated based on the offset pixel RGB values, and the corrected work image and the offset work image are displayed to students on the same interface.

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