Calculation method for large-area displayable graphic and text information under point light source

Abstract

The invention discloses a method for calculating large-area displayable graphic and text information under a point light source. The method comprises the following steps: S1, digitizing the graphic and text information; s2, point light source parameter modeling; s3, carrying out basic modeling on the microscopic fringes; s4, stripe width correction is carried out in combination with an image-text information model; and S5, carrying out block calculation and splicing on the large-area region. By digitally processing the graphic and text information, the complex graphic and text can be converted into an accurate pixel matrix, a clear data basis is provided for subsequent calculation, and the accuracy of the graphic and text information at a processing source is ensured; point light source parameter modeling is carried out, the position, illumination intensity and other key parameters of a point light source can be accurately captured, a reliable optical basis is provided for subsequent microcosmic fringe design, and calculation deviation caused by fuzzy light source parameters is avoided. And a brand new microscopic stripe basic model is constructed, so that stripe distribution can more flexibly adapt to point light source characteristics and graphic and text information requirements.

Description

Technical Field

[0001] This invention relates to the field of optical micro-nano structure design technology, specifically a calculation method for displaying graphic and textual information over a large area under a point light source. Background Technology

[0002] Large-area displayable graphic information technology under point light sources is a technology or phenomenon that utilizes the characteristics of point light sources to make originally hidden or inconspicuous graphics and text clearly visible under specific lighting conditions. It is often used in anti-counterfeiting, display, and other fields. However, existing methods for calculating large-area displayable graphic information under point light sources have some shortcomings, such as: Existing methods for calculating large-area graphic information display using point light sources employ fixed values ​​for point light source parameters such as position, wavelength, and intensity. This fails to account for potential offsets or parameter fluctuations in point light sources during practical applications, resulting in display anomalies or failures when calculating different regions or types of graphic information.

[0003] Therefore, we propose a calculation method for displaying graphic and textual information over a large area under a point light source, in order to solve the problems mentioned above. Summary of the Invention

[0004] The purpose of this invention is to provide a calculation method for displaying graphic and textual information over a large area under a point light source, so as to solve the problems currently found in the market as mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a calculation method for displaying graphic and textual information over a large area under a point light source, comprising the following steps: S1. Digitization of graphic and textual information: The graphic and textual information that needs to be displayed under a point light source, such as text or patterns, is digitized to obtain the corresponding pixel matrix or image information, and the pixel coordinates of the target information are recorded. S2. Point Light Source Parameter Modeling: Determine the position coordinates of the point light source and the vertical distance from the point light source to the surface to be designed, set the light intensity, wavelength and other parameters of the point light source, and model it according to the coordinates; S3. Microscopic stripe basic modeling: Abandoning the conventional point light source coordinate system with a wide edge and a thin edge progressive relief stripe model, a brand new functional relationship between stripe width and position is established, with stripe width, initial modeling coordinates and scale coefficient as the basic functions of the data; S4. Stripe width correction based on the graphic information model: The basic stripe width is corrected according to the digitized graphic pixel matrix. For positions with a pixel value of 1, the stripe width is adjusted according to preset rules. The default rule formula is: w'(x,y) = w(x,y) + Δ ; For positions with a pixel value of 0, the formula is adjusted to: w"(x,y) = w(x,y) + Δ Where Δ and Δ For different correction amounts, Δ A positive value increases the stripe width, which is suitable for text and image areas; Δ A negative value means a reduction in stripe width, and Δ The value ≠ Δ The value; S5: Block Calculation and Stitching of Large Areas: The entire area is divided into several small areas. Microscopic stripe calculations are performed on each small area to obtain stripe distribution data for each small area. Then, the areas are stitched together to form a large area for displaying images and text.

[0006] By digitizing graphic information, complex images and text can be transformed into precise pixel matrices, providing a clear data foundation for subsequent calculations and ensuring the accuracy of the image and text information at the source. Modeling point light source parameters allows for precise capture of key parameters such as the position and intensity of the point light source, providing a reliable optical basis for subsequent micro-fringe design and avoiding calculation deviations caused by fuzzy light source parameters. A novel micro-fringe basic model is constructed, enabling the fringe distribution to more flexibly adapt to the characteristics of the point light source and the requirements of the image and text. The fringe width is differentiated by combining image and text information, through Δ... and Δ Different values ​​of can create a clear contrast in light intensity under point light source illumination, ensuring a clear boundary between the text / image area and the non-text / image area.

[0007] As a preferred technical solution of the present invention, in the process of digitizing graphic information, for color graphics, a color space conversion algorithm is used to convert them from the common RGB color space to the CIELAB color space, so as to extract color information more accurately and quantize it into the pixel matrix. At the same time, an edge detection algorithm is used to enhance the recognition of the edges of the graphics, ensuring that the digitized graphic information is complete and the edges are clear, providing a high-quality data foundation for subsequent stripe calculation.

[0008] The above technical solution enables more accurate preservation and quantification of color information in color graphics and text, avoiding color distortion caused by improper color space conversion during digitization. At the same time, the enhanced edges of the graphics and text provide a clearer reference for subsequent stripe calculations, ensuring that the final color graphics and text displayed under point light sources are accurate and have sharp edges, thus improving the overall display effect of the graphics and text.

[0009] As a preferred technical solution of the present invention, the position coordinates of the point light source are determined ( , , When performing measurements, a laser rangefinder and a three-dimensional coordinate positioning system are used. The measurement accuracy is improved by taking the average value of multiple measurements, ensuring that the accuracy of the point light source position coordinates is within the millimeter error range. For the setting of the light intensity and wavelength parameters of the point light source, a spectrum analyzer and light intensity calibration equipment are used to accurately set the corresponding parameters according to the optical standards of the required graphic display effect, ensuring that the point light source parameters meet the design requirements.

[0010] The above technical solution enables the precise determination of various parameters of the point light source, reduces the deviation in fringe calculation caused by parameter errors, and makes the model built based on these parameters more in line with the actual situation. This ensures that the graphic information under the illumination of the point light source can be clearly displayed as expected during subsequent calculation and production processes, and reduces the probability of problems such as blurry or distorted graphics due to inaccurate parameters.

[0011] As a preferred technical solution of the present invention, when constructing the micro-striped basic model, the function f(x, y) adopts a complex function form based on Fourier transform. By adjusting the coefficients and frequency of the Fourier series, flexible and precise control of the stripe width at different positions can be achieved, so that the stripe distribution can be customized according to the graphic information and the characteristics of the point light source, further optimizing the adaptability and accuracy of the micro-striped basic model.

[0012] The above technical solution enables more flexible and precise control of the width of micro-stripes, breaking the limitations of conventional progressive stripe models. It allows stripe distribution to be designed specifically according to different graphic information and point light source characteristics, thus enabling the constructed micro-stripe basic model to better adapt to various complex situations and laying a good foundation for subsequent stripe width correction and large-area graphic display.

[0013] As a preferred technical solution of the present invention, when determining the correction amount using optical simulation software, not only is the distribution of reflected light intensity simulated, but the influence of light interference and diffraction phenomena on fringe imaging is also considered. By adding an interference and diffraction calculation module to the simulation model and combining it with the optical constants of the actual material, the propagation behavior of light on the surface of the micro / nano structure under different fringe widths is accurately simulated, thereby determining a correction amount Δ that better reflects the actual optical effect. and Δ This significantly improves the clarity and contrast of images and text under point light source illumination.

[0014] The above technical solution makes the determined correction amount more consistent with the actual optical propagation law, takes into account phenomena such as light interference and diffraction that are easily ignored, avoids the problem of inaccurate correction amount caused by only considering the intensity of reflected light, and thus allows the corrected stripes to form clearer and higher contrast graphic information under point light source illumination, improving the recognizability of graphic information.

[0015] As a preferred technical solution of the present invention, when dividing a large area into smaller areas, an adaptive partitioning algorithm is adopted. This algorithm dynamically adjusts the size of the smaller areas according to the complexity of the graphic and textual information within the area. For areas with complex graphic and textual information, the size of the smaller areas is appropriately reduced to 30mm-35mm to improve calculation accuracy; for areas with simple graphic and textual information, the size is appropriately increased to 70mm-75mm to improve calculation efficiency, while ensuring that the overall splicing effect is not affected.

[0016] The above technical solution enables more reasonable block calculation in large areas. While ensuring the calculation accuracy of complex areas of graphic information, it improves the calculation efficiency of simple areas of graphic information. It avoids the problems of insufficient accuracy or low efficiency that may occur when using fixed-size blocks, and ensures the overall effect after the small areas are spliced ​​together.

[0017] As a preferred technical solution of the present invention, when setting transition stripes, a cubic spline interpolation algorithm is used to calculate the width and shape of the transition stripes. By collecting and analyzing the stripe parameters at the boundary of adjacent areas, a smooth transition curve is generated using the cubic spline interpolation algorithm to ensure that the transition stripes are naturally connected with the adjacent areas in terms of width and shape. The stripe width changes uniformly during the transition process, effectively avoiding splicing marks and improving the overall visual effect of large-area graphic display.

[0018] The above technical solution enables a more natural and smooth transition between adjacent small areas, eliminates obvious traces that may appear at the splicing points, and makes the large area of ​​graphic display a coherent whole, improving the visual integrity and aesthetics of the graphic, and making the graphic appear smoother and without any sense of breakage when viewed by the observer under point light source.

[0019] As a preferred technical solution of the present invention, a micro-nano structure sample is fabricated based on the calculated micro-stripe distribution data. High-precision technologies such as photolithography, etching or 3D printing are used to accurately realize the calculated micro-stripe distribution. The sample is irradiated under a set point light source condition and optimized based on the model.

[0020] The above technical solution enables the fabricated micro-nano structure samples to closely match the calculation results. By verifying the irradiation under set point light source conditions and optimizing the model, the distribution of micro-stripes is continuously adjusted, thereby ensuring that the final sample can stably and clearly display the expected graphic information under point light source conditions, thus improving the reliability and practicality of the technical solution.

[0021] As a preferred technical solution of the present invention, during the verification and optimization process, an image recognition algorithm based on deep learning is used to evaluate the clarity and integrity of the displayed graphic information. By constructing a convolutional neural network model and training it with a large amount of sample data containing clear and blurry graphics, the model can accurately identify the edges, details and overall structure of graphics. According to the evaluation results, if the clarity of graphics is lower than the set clarity threshold or the integrity is missing by more than a certain proportion, the model will automatically return to adjust the stripe width correction rule or the basic model, thereby realizing the intelligence and efficiency of the verification and optimization process.

[0022] The above technical solution eliminates the reliance on manual evaluation. The deep learning model can more accurately identify problems in the images and text, and the automatic adjustment mechanism reduces the need for manual intervention, accelerating the optimization and iteration speed of the entire technical solution. A more complete stripe calculation model can be obtained in a short time, ensuring that the final displayed image and text information meets high-quality standards.

[0023] Compared with existing technologies, the beneficial effects of this invention are as follows: By digitizing graphic information, complex graphics can be transformed into precise pixel matrices, providing a clear data foundation for subsequent calculations and ensuring the accuracy of graphic information at the processing source; by modeling point light source parameters, key parameters such as the position and intensity of the point light source can be accurately captured, providing a reliable optical basis for subsequent micro-fringe design and avoiding calculation deviations caused by fuzzy light source parameters; a novel micro-fringe basic model is constructed, allowing the fringe distribution to more flexibly adapt to the characteristics of the point light source and the graphic requirements; and the fringe width is differentiated by combining graphic information, through Δ and Δ Different values ​​of can create a clear contrast in light intensity under point light source illumination, ensuring a clear boundary between the text / image area and the non-text / image area. Furthermore, by determining the coordinates of the light spot, the parameters of the point light source can be accurately determined, reducing the deviation in fringe calculation caused by parameter errors. This makes the model built based on these parameters more in line with the actual situation, thereby ensuring that the graphic information illuminated by the point light source can be clearly displayed as expected during subsequent calculations and production, reducing the probability of problems such as blurry or distorted graphics due to inaccurate parameters. Furthermore, by dividing large areas into smaller areas, the block calculation of large areas can be more reasonable. While ensuring the calculation accuracy of complex areas of graphic and textual information, the calculation efficiency of simple areas of graphic and textual information is improved. This avoids the problems of insufficient accuracy or low efficiency that may occur when using fixed-size blocks, and ensures the overall effect after the small areas are stitched together. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the calculation process for displaying images and text in this invention; Figure 2 This is a schematic diagram illustrating the detailed calculation process of the present invention. Figure 3 This is a schematic diagram of the basic stripe width test data of the present invention; Figure 4 This is a schematic diagram of the micro-stripe encryption information design of the present invention; Figure 5 This is a schematic diagram of the image display when illuminated by a point light source according to the present invention. Detailed Implementation

[0025] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0026] Please see Figures 1-5 This invention provides a technical solution: a calculation method for displaying graphic and textual information over a large area under a point light source, characterized by comprising the following steps: S1. Digitization of graphic and textual information: The graphic and textual information that needs to be displayed under a point light source, such as text or patterns, is digitized to obtain the corresponding pixel matrix or image information, and the pixel coordinates of the target information are recorded. S2. Point Light Source Parameter Modeling: Determine the position coordinates of the point light source and the vertical distance from the point light source to the surface to be designed, set the light intensity, wavelength and other parameters of the point light source, and model it according to the coordinates; S3. Microscopic stripe basic modeling: Abandoning the conventional point light source coordinate system with a wide edge and a thin edge progressive relief stripe model, a brand new functional relationship between stripe width and position is established, with stripe width, initial modeling coordinates and scale coefficient as the basic functions of the data; S4. Stripe width correction based on the graphic information model: The basic stripe width is corrected according to the digitized graphic pixel matrix. For positions with a pixel value of 1, the stripe width is adjusted according to preset rules. The default rule formula is: w'(x,y) = w(x,y) + Δ ; For positions with a pixel value of 0, the formula is adjusted to: w"(x,y) = w(x,y) + Δ Where Δ and Δ For different correction amounts, Δ A positive value increases the stripe width, which is suitable for text and image areas; Δ A negative value means a reduction in stripe width, and Δ The value ≠ Δ The value; The basic stripe width w(x, y) is taken from the basic micro-stripe model and fluctuates in the range of 4.5-6.1 μm according to the position (x, y) to simulate the stripe distribution differences on the actual surface. Correction amount setting: Δ =+0.8μm (image area), Δ =-0.5μm (non-image area), the difference between the two is 1.3μm, ensuring that the difference in stripe width is significant; Reflected light intensity ratio: Calculated by optical simulation software, the stripe width is wider in the image and text area after correction, and the reflected light intensity ratio (75%-82%) is significantly higher than that in the non-image and text area (28%-35%), forming a clear visual contrast and ensuring that the image and text information is clearly distinguishable under point light source; S5: Block calculation and splicing of large areas: Divide the entire area into several small areas, perform micro-stripes calculation on each small area to obtain stripe distribution data of each small area, and then splice the areas to form a large area of ​​graphic display area. In the process of digitizing text and image information, for color text and image, a color space conversion algorithm is used to convert it from the common RGB color space to the CIELAB color space in order to extract color information more accurately and quantize it into the pixel matrix. At the same time, an edge detection algorithm is used to enhance the recognition of the edges of the text and image, ensuring that the digitized text and image information is complete and has clear edges. Determine the coordinates of the point light source position ( , , When using a laser rangefinder and a three-dimensional coordinate positioning system, the measurement accuracy is improved by taking the average value of multiple measurements, ensuring that the accuracy of the point light source position coordinates is within the millimeter error range. For the setting of the light intensity and wavelength parameters of the point light source, a spectrum analyzer and light intensity calibration equipment are used, based on the optical standards of the required graphic display effect. When constructing the basic model of micro-stripes, the function f(x,y) adopts a complex function form based on Fourier transform. By adjusting the coefficients and frequency of the Fourier series, flexible and precise control of the stripe width at different positions can be achieved. When determining the correction amount using optical simulation software, not only is the intensity distribution of reflected light simulated, but the effects of light interference and diffraction on fringe imaging are also considered. By adding interference and diffraction calculation modules to the simulation model and combining the optical constants of actual materials, the propagation behavior of light on the surface of micro / nano structures under different fringe widths is accurately simulated, thereby determining a correction amount Δ that more closely matches the actual optical effect. and Δ ; When dividing a large area into smaller areas, an adaptive partitioning algorithm is used. This algorithm dynamically adjusts the size of the smaller areas based on the complexity of the graphic and textual information within the area. For areas with complex graphic and textual information, the size of the smaller areas is appropriately reduced to 30mm-35mm to improve calculation accuracy; for areas with simple graphic and textual information, the size is appropriately increased to 70mm-75mm. When setting transition stripes, the width and shape of the transition stripes are calculated using a cubic spline interpolation algorithm. By collecting and analyzing the stripe parameters at the boundary of adjacent regions, a smooth transition curve is generated using the cubic spline interpolation algorithm to ensure that the transition stripes are naturally connected to the adjacent regions in terms of width and shape, and that the stripe width changes uniformly during the transition process. Micro-nano structure samples are fabricated based on the calculated micro-stripe distribution data. High-precision technologies such as photolithography, etching, or 3D printing are used to accurately realize the calculated micro-stripe distribution. The samples are then irradiated under set point light source conditions, and the model is validated and optimized. During the verification and optimization process, a deep learning-based image recognition algorithm is used to evaluate the clarity and integrity of the displayed text and image information. By constructing a convolutional neural network model, a large amount of sample data containing both clear and blurry text and images is used for training, enabling the model to accurately identify the edges, details, and overall structure of the text and images. Based on the evaluation results, if the clarity of the text and images is lower than the set clarity threshold or the integrity is missing by more than a certain proportion, the algorithm will automatically return to the adjustment of the stripe width correction rule or the basic model.

[0027] This completes a series of tasks. The contents not described in detail in this specification are existing technologies known to those skilled in the art.

[0028] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A calculation method for displaying graphic and textual information over a large area under a point light source, characterized in that, Includes the following steps: S1. Digitization of graphic and textual information: The graphic and textual information that needs to be displayed under a point light source, such as text or patterns, is digitized to obtain the corresponding pixel matrix or image information, and the pixel coordinates of the target information are recorded. S2. Point Light Source Parameter Modeling: Determine the position coordinates of the point light source and the vertical distance from the point light source to the surface to be designed, set the light intensity, wavelength and other parameters of the point light source, and model it according to the coordinates; S3. Microscopic stripe basic modeling: Abandoning the conventional point light source coordinate system with a wide edge and a thin edge progressive relief stripe model, a brand new functional relationship between stripe width and position is established, with stripe width, initial modeling coordinates and scale coefficient as the basic functions of the data; S4. Stripe width correction based on the graphic information model: The basic stripe width is corrected according to the digitized graphic pixel matrix. For positions with a pixel value of 1, the stripe width is adjusted according to preset rules. The default rule formula is: w'(x,y) = w(x,y) + Δ ; For positions with a pixel value of 0, the formula is adjusted to: w"(x,y) = w(x,y) + Δ Where Δ and Δ For different correction amounts, Δ A positive value increases the stripe width, which is suitable for text and image areas; Δ A negative value means a reduction in stripe width, and Δ The value ≠ Δ The value; S5: Block Calculation and Stitching of Large Areas: The entire area is divided into several small areas. Microscopic stripe calculations are performed on each small area to obtain stripe distribution data for each small area. Then, the areas are stitched together to form a large area for displaying images and text.

2. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, In the process of digitizing text and image information, for color text and images, a color space conversion algorithm is used to convert them from the common RGB color space to the CIELAB color space, so as to extract color information more accurately and quantize it into the pixel matrix. At the same time, an edge detection algorithm is used to enhance the recognition of the edges of the text and images, ensuring that the digitized text and image information is complete and has clear edges.

3. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, Determine the position coordinates of the point light source ( , , When performing measurements, a laser rangefinder and a three-dimensional coordinate positioning system are used. The measurement accuracy is improved by taking the average value of multiple measurements, ensuring that the accuracy of the point light source position coordinates is within the millimeter error range. For the setting of the light intensity and wavelength parameters of the point light source, a spectrum analyzer and light intensity calibration equipment are used, based on the optical standards of the required graphic display effect.

4. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, When constructing the basic model of micro-stripes, the function f(x,y) adopts a complex function form based on Fourier transform. By adjusting the coefficients and frequency of the Fourier series, flexible and precise control of the stripe width at different positions can be achieved.

5. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, When determining the correction amount using optical simulation software, not only is the intensity distribution of reflected light simulated, but the effects of light interference and diffraction on fringe imaging are also considered. By adding interference and diffraction calculation modules to the simulation model and combining the optical constants of actual materials, the propagation behavior of light on the surface of micro / nano structures under different fringe widths is accurately simulated, thereby determining a correction amount Δ that more closely matches the actual optical effect. and Δ .

6. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, When dividing a large area into smaller areas, an adaptive partitioning algorithm is used. This algorithm dynamically adjusts the size of the smaller areas based on the complexity of the textual and graphic information within the area. For areas with complex textual and graphic information, the size of the smaller areas is reduced to improve calculation accuracy; for areas with simple textual and graphic information, the size is increased to improve calculation speed.

7. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, When setting transition stripes, the width and shape of the transition stripes are calculated using a cubic spline interpolation algorithm. By collecting and analyzing the stripe parameters at the boundary of adjacent regions, a smooth transition curve is generated using the cubic spline interpolation algorithm to ensure that the transition stripes are naturally connected to the adjacent regions in terms of width and shape, and that the stripe width changes uniformly during the transition process.

8. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 1, characterized in that, Micro-nano structure samples are fabricated based on the calculated micro-stripe distribution data. High-precision technologies such as photolithography, etching, or 3D printing are used to accurately realize the calculated micro-stripe distribution. The samples are then irradiated under set point light source conditions, and the model is validated and optimized.

9. The calculation method for displaying graphic and textual information over a large area under a point light source according to claim 8, characterized in that, During the verification and optimization process, a deep learning-based image recognition algorithm is used to evaluate the clarity and integrity of the displayed text and image information. By constructing a convolutional neural network model, a large amount of sample data containing both clear and blurry text and images is used for training, enabling the model to accurately identify the edges, details, and overall structure of the text and images. Based on the evaluation results, if the clarity of the text and images is lower than the set clarity threshold or the integrity is missing by more than a certain proportion, the algorithm will automatically return to the adjustment of the stripe width correction rule or the basic model.

Images