CN114771120B - Pressure control method and device in micro-contact printing process and artificial intelligence system - Google Patents
Pressure control method and device in micro-contact printing process and artificial intelligence system Download PDFInfo
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- CN114771120B CN114771120B CN202210691026.XA CN202210691026A CN114771120B CN 114771120 B CN114771120 B CN 114771120B CN 202210691026 A CN202210691026 A CN 202210691026A CN 114771120 B CN114771120 B CN 114771120B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41M—PRINTING, DUPLICATING, MARKING, OR COPYING PROCESSES; COLOUR PRINTING
- B41M1/00—Inking and printing with a printer's forme
- B41M1/12—Stencil printing; Silk-screen printing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/40—Picture signal circuits
- H04N1/405—Halftoning, i.e. converting the picture signal of a continuous-tone original into a corresponding signal showing only two levels
Abstract
The invention discloses a method and a device for controlling pressure in a micro-contact printing process and an artificial intelligence system, and relates to the field of image recognition. The method mainly comprises the following steps: obtaining a grayscale image of a surface image of the microcontact printing at an initial pressure; carrying out template matching to respectively obtain each pattern area in the gray level image; clustering the pixel points in each pattern area according to the gray values of the pixel points to obtain a plurality of categories so as to obtain the heat values of the pixel points in each category after clustering; calculating the variance of the heat value of each pixel point corresponding to each position in each pattern area, and taking the mean value of the variances corresponding to each position in the pattern areas as a printing missing value; and increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, obtaining a printing missing value under new pressure, and taking the pressure value which enables the printing missing value to be smaller than a preset threshold value as an optimal pressure value. The embodiment of the invention can shorten the time for obtaining the optimal pressure applied to the seal.
Description
Technical Field
The application relates to the field of image recognition, in particular to a method and a device for controlling pressure in a micro-contact printing process and an artificial intelligence system.
Background
Microcontact printing is a technology capable of completing surface patterning on a micro-nano scale, and is mainly characterized by high efficiency and low cost, and the Microcontact printing process comprises the following steps: firstly, obtaining a PDMS (Polydimethylsiloxane) seal corresponding to a pattern to be printed through optical or electron beam lithography, then smearing an organic polymer solution on the PDMS seal, obtaining a substrate with the pattern of the PDMS seal through applying pressure on the PDMS seal, and chemically plating the substrate printed with the pattern to obtain the pattern printed through micro-contact.
For PDMS stamps made of different materials, the required pressure in the micro-contact printing process is different, and meanwhile, the contact areas of the PDMS stamps in the printing process are different corresponding to stamps with different patterns. For the adjustment of the pressure of the seal in the micro-contact printing process, the preparation effect is often observed manually in the prior art,
in the process of implementing the embodiment of the invention, the inventor finds that at least the following defects exist in the background art: the preparation effect is observed manually, the pressure required by the seal is debugged continuously, and in the process of finally determining the proper seal pressure, the process of determining the optimal pressure of the seal consumes long time and has low precision.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide a method and an apparatus for controlling pressure during micro-contact printing, and an artificial intelligence system, which control pressure required by a stamp during micro-contact printing through image processing, and can determine pressure suitable for the stamp in a shorter time, thereby improving efficiency and printing effect of micro-contact printing.
In a first aspect, an embodiment of the present disclosure provides a method for controlling pressure in a micro-contact printing process, including:
and S1, acquiring the surface image of the micro-contact printing under the initial pressure and carrying out graying to obtain a grayscale image.
And S2, matching by using a preset template to respectively obtain each pattern area in the gray-scale image.
S3, clustering the pixels in each pattern area according to the gray values of the pixels to obtain a plurality of categories, taking the mean value of the difference value between the gray value of each pixel in the same category and the background gray value as a first mean value, taking the gray mean value of each pixel in the same category as a second mean value, and taking the ratio of the first mean value and the second mean value corresponding to the same category as the heat value of each pixel in the category.
S4, forming corresponding pixel point sets by the pixel points with the same relative position in each pattern area, respectively calculating the variance of the heat value of each pixel point in each corresponding pixel point set, and taking the mean value of each variance corresponding to each corresponding pixel point set as the printing missing value.
And S5, judging whether the printing missing value is larger than a preset threshold value, if so, increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and executing S1-S4 again until the printing missing value is smaller than the preset threshold value, wherein the pressure value which enables the printing missing value to be smaller than the preset threshold value is taken as the optimal pressure value. And if the judgment result is negative, taking the initial pressure as the optimal pressure value.
In a possible embodiment, after calculating the variance of the heat value of each pixel point corresponding to the position in each pattern region, the method further includes:
and respectively obtaining the weight corresponding to each position in the pattern area by utilizing PCA.
And taking the product of the variance corresponding to each position in the pattern area and the corresponding weight as the new variance of each position.
In one possible embodiment, graying the surface image to obtain a grayscale image includes:
and taking the maximum value of the pixel values of the pixel points in the surface image in the RGB three channels as the gray value of the pixel points in the gray image.
In one possible embodiment, the method further comprises:
increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and re-executing the processes from S1 to S4, when the printing missing value is still not less than the preset threshold value after the iteration of preset numerical values, calculating the average pressure value of the pressure adopted in the iteration process of the preset numerical values, adding the average pressure value to the preset numerical value multiple of the preset pressure step length, and taking the obtained pressure value as the pressure value applied to the seal next time.
In one possible embodiment, each pattern region in the grayscale image obtained by matching with the preset template is consistent with the preset template. The preset template is obtained according to the pattern to be printed.
In a second aspect, an embodiment of the present invention provides a pressure control apparatus for a micro-contact printing process, including:
and the gray level image acquisition module is used for acquiring the surface image of the micro-contact printing under the initial pressure and carrying out graying to obtain a gray level image.
And the pattern area acquisition module is used for matching by using a preset template to respectively acquire each pattern area in the gray level image.
And the heat value calculation module is used for clustering the pixels in each pattern area according to the gray values of the pixels to obtain a plurality of categories, taking the mean value of the difference value between the gray value of each pixel in the same category and the background gray value as a first mean value, taking the gray mean value of each pixel in the same category as a second mean value, and taking the ratio of the first mean value and the second mean value corresponding to the same category as the heat value of each pixel in the category.
And the printing missing value calculation module is used for forming corresponding pixel point sets by all the pixel points with the same relative positions in all the pattern areas, respectively calculating the variance of the heat value of each pixel point in each corresponding pixel point set, and taking the mean value of each difference corresponding to each corresponding pixel point set as the printing missing value.
The optimal pressure value determining module is used for judging whether the printing missing value is larger than a preset threshold value or not, if so, increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, sequentially calling the gray image acquiring module, the pattern area acquiring module, the heat value calculating module and the printing missing value calculating module until the printing missing value is smaller than the preset threshold value, and taking the pressure value which enables the printing missing value to be smaller than the preset threshold value as the optimal pressure value; and if the judgment result is negative, taking the initial pressure as the optimal pressure value.
In a third aspect, an embodiment of the present invention provides an artificial intelligence system for pressure control in a micro-contact printing process, including: the pressure control device comprises a memory and a processor, wherein the processor executes a computer program stored in the memory to realize the pressure control method of the micro-contact printing process in the embodiment of the invention.
Compared with the prior art, the embodiment of the invention provides a method and a device for controlling pressure in a micro-contact printing process and an artificial intelligence system, and has the beneficial effects that at least: the pressure required by the seal in the micro-contact printing is controlled through image processing, and the pressure adaptive to the seal can be determined in a shorter time, so that the efficiency of the micro-contact printing and the printing effect are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for controlling pressure in a micro-contact printing process according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of pixels in the same relative position in each pattern area according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a pressure control device for a micro-contact printing process according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature; in the description of the present embodiment, "a plurality" means two or more unless otherwise specified.
Microcontact printing is a technology capable of completing surface patterning on a micro-nano scale, and is mainly characterized by high efficiency and low cost, and the Microcontact printing process comprises the following steps: firstly, obtaining a PDMS (Polydimethylsiloxane) seal corresponding to a pattern to be printed through optical or electron beam lithography, then smearing an organic polymer solution on the PDMS seal, obtaining a substrate with the pattern of the PDMS seal through applying pressure on the PDMS seal, and chemically plating the substrate printed with the pattern to obtain the pattern printed through micro-contact.
However, the pressures required by PDMS stamps of different materials during micro-contact printing are different, and the contact areas of the PDMS stamps during printing are different corresponding to stamps of different patterns. For the adjustment of the pressure of the seal in the micro-contact printing process, the preparation effect is often observed manually in the prior art, the pressure required by the seal is continuously debugged, and the proper seal pressure is finally determined, so that the time consumption of the acquisition process of the optimal pressure of the seal is long.
In the prior art, the defect degree of printing is obtained by adjusting the statistical area of the gray value, but the difference of the gray value may cause the difference of the defect regions obtained after segmentation, and meanwhile, the accuracy of directly averaging a plurality of pressures is not high, and local optimization is easily caused.
The embodiment of the invention provides a pressure control method in a micro-contact printing process, which comprises the following steps of:
and S101, acquiring a surface image subjected to micro-contact printing under initial pressure, and performing graying to obtain a grayscale image.
And S102, matching by using a preset template to respectively obtain each pattern area in the gray level image.
Step S103, clustering the pixel points in each pattern area according to the gray values of the pixel points to obtain a plurality of categories, and obtaining the heat value of each category after clustering respectively by using the difference value between the gray value of each pixel point in the same category and the background gray value.
And taking the mean value of the difference values of the gray value and the background gray value of each pixel point in the same category as a first mean value, taking the gray mean value of each pixel point in the same category as a second mean value, and respectively taking the ratio of the first mean value to the second mean value corresponding to each category as the heat value of each category.
Step S104, forming corresponding pixel point sets by all pixel points with the same relative position in each pattern area, respectively calculating variance of heat value of each pixel point in each corresponding pixel point set, and taking the mean value of each variance corresponding to each corresponding pixel point set as printing missing value.
Step S105, judging whether the printing missing value is larger than a preset threshold value, if so, increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and executing steps S101 to S104 again until the printing missing value is smaller than the preset threshold value, wherein the pressure value which enables the printing missing value to be smaller than the preset threshold value is taken as an optimal pressure value; and if the judgment result is negative, taking the initial pressure as the optimal pressure value.
The embodiment of the invention mainly aims to: the pressure of the seal in the micro-contact printing process is controlled based on image processing, the optimal pressure which is adaptive to the material of the seal and the pattern in the seal is determined, and complicated pressure adjustment and test through manual work are avoided, so that the production efficiency of the micro-contact printing process is improved.
Further, step S101, collecting a surface image of the microcontact printing under the initial pressure and performing graying to obtain a grayscale image. The method specifically comprises the following steps:
the process of microcontact printing generally includes: firstly, obtaining a PDMS (Polydimethylsiloxane) seal corresponding to a pattern to be printed through optical or electron beam lithography, then smearing an organic polymer solution on the PDMS seal, obtaining a substrate with the pattern of the PDMS seal through applying pressure on the PDMS seal, and chemically plating the substrate printed with the pattern to obtain the pattern printed through micro-contact.
In the embodiment of the invention, the surface image of the substrate obtained after micro-contact printing is acquired by using the image acquisition electronic equipment, and meanwhile, the conditions such as illumination, focal length and the like of image acquisition are the same before and after the pressure of the seal is changed, so that the interference of the image acquisition on the subsequent process is avoided.
Finally, graying the surface image to obtain a grayscale image, which specifically comprises: and taking the maximum value of the pixel values of the pixel points in the surface image in the RGB three channels as the gray value of the pixel points in the gray image.
Further, step S102, matching is performed by using a preset template to obtain each pattern region in the grayscale image. The method specifically comprises the following steps:
because the pattern to be printed is known, a preset template mask can be manufactured according to the pattern to be printed, so that template matching is carried out to respectively obtain each pattern area in the gray-scale image.
Further, step S103, clustering the pixels in each pattern region according to the gray values of the pixels to obtain a plurality of categories, and obtaining the heat value of each category after clustering by using the difference between the gray value of each pixel in the same category and the background gray value. The method specifically comprises the following steps:
firstly, clustering is carried out on pixel points in each pattern area according to the gray values of the pixel points to obtain a plurality of categories.
It should be noted that clustering is the process of dividing a collection of physical or abstract objects into classes composed of similar objects. The clusters generated by clustering are a set of data objects that are similar to objects in the same cluster and different from objects in other clusters, facilitating cluster analysis. Clustering analysis, also known as cluster analysis, is a statistical analysis method for studying (sample or index) classification problems. The clustering analysis originates from taxonomy, but clustering is not equal to classification. Clustering differs from classification in that the class into which the clustering is required to be divided is unknown. The content of the clustering analysis is very rich, and a system clustering method, an ordered sample clustering method, a dynamic clustering method, a fuzzy clustering method, a graph theory clustering method, a clustering prediction method and the like are adopted. Clustering is also a concept of great importance in data mining. The traditional clustering analysis and calculation methods mainly comprise five methods, namely a dividing method, a hierarchical method, a density-based method, a grid-based method and a model-based method.
Secondly, the mean value of the difference value between the gray value of each pixel point in the same category and the background gray value is used as a first mean value, the gray mean value of each pixel point in the same category is used as a second mean value, and the ratio of the first mean value to the second mean value corresponding to each category is respectively used as the heat value of each category.
It should be noted that, in the embodiment of the present invention, the background gray value refers to a mean gray value of each pixel in the background portion.
Further, step S104, forming corresponding pixel point sets by the pixel points with the same relative position in each pattern region, respectively calculating variance of the heat value of each pixel point in each corresponding pixel point set, and taking the mean value of each difference corresponding to each corresponding pixel point set as a printing missing value, specifically including:
firstly, forming corresponding pixel point sets by all pixel points with the same relative position in each pattern area.
Since the patterns of the pattern regions obtained in the embodiment of the present invention are the same, and the possible difference between different pattern regions is only the difference in direction, fig. 2 is a schematic diagram of the pixel points with the same relative position in each pattern region in the embodiment of the present invention, as shown in fig. 2, the point a in the pattern region a and the point B in the pattern region B are two pixel points with the same relative position, and thus the pixel points with the same relative position are combined into the corresponding pixel point set.
Optionally, the PCA may be utilized to obtain the weight corresponding to each corresponding pixel point set in the pattern region respectively; and taking the product of the variance corresponding to each corresponding pixel point set in the pattern area and the corresponding weight as the new variance of each corresponding pixel point set respectively. It should be noted that PCA (Principal components analysis) is one of important dimension reduction methods. The method and the device have wide application in the fields of data compression and redundancy elimination, data noise elimination and the like, and the weight of each corresponding pixel point set is respectively obtained by utilizing PCA in the embodiment of the invention.
Therefore, the obtained new variance of the corresponding pixel point set can comprise more representative information.
Secondly, calculating the variance of the heat value of each pixel point in each corresponding pixel point set respectively, and taking the mean value of the variances corresponding to each corresponding pixel point set as a printing missing value.
It should be noted that, in the above process, the variance is obtained according to the heat value of the pixel points with the same relative position, so that the obtained variance can reflect the uniformity of the pixel points at the corresponding position in each pattern region, and meanwhile, the printing missing value can reflect the defect degree of all the pattern regions, and therefore, the printing missing value obtained in the embodiment of the present invention can reflect the defect degree after the micro-contact printing is performed.
Further, step S105, determining whether the printing missing value is greater than a preset threshold, if so, increasing the pressure used in the micro-contact printing based on the initial pressure, and re-executing steps S101 to S104 until the printing missing value is less than the preset threshold, and taking the pressure value at which the printing missing value is less than the preset threshold as the optimal pressure value. If the judgment result is negative, the initial pressure is taken as the optimal pressure value. The method specifically comprises the following steps:
firstly, judging whether a printing missing value is larger than a preset threshold value, if so, indicating that the defect degree after micro-contact printing is larger than expected, and the pressure exerted on the seal does not reach the optimal pressure value, so that the pressure exerted on the seal needs to be increased, and for the increase of the pressure exerted on the seal, the embodiment of the invention adopts a mode of fixing the pressure step length to increase.
As an example, the preset pressure step used in the embodiment of the present invention is 50 pa, and the implementer may adjust the preset pressure step according to the actual requirement.
Optionally, the pressure used in the micro-contact printing process is increased on the basis of the initial pressure, and in the process from S1 to S4, when the printing missing value is still not less than the preset threshold value after the preset number of iterations, the average pressure value of the pressure used in the preset number of iterations is calculated, the average pressure value is added to the preset number of times of the preset pressure step, and the obtained pressure value is used as the pressure value applied to the stamp next time.
For example, if the preset value is 5, the printing missing value is still not less than the preset threshold value after 5 iterations, the average value of the pressure values in the 5 iterations is added by 5 times of the preset pressure step length, and the obtained pressure value is used as the pressure value applied to the stamp next time, so that the process of obtaining the optimal pressure value of the stamp can be accelerated.
An embodiment of the present invention provides a pressure control apparatus for a micro-contact printing process, as shown in fig. 3, including:
a grayscale image acquisition module 201, a pattern region acquisition module 202, a heat value calculation module 203, a missing print value calculation module 204, and an optimal pressure value determination module 205.
The grayscale image acquisition module 201 is configured to acquire a surface image of micro-contact printing under an initial pressure and perform graying to obtain a grayscale image.
The pattern region acquiring module 202 is configured to perform matching by using a preset template to respectively acquire each pattern region in the grayscale image.
The heat value calculation module 203 is configured to cluster the pixels in each pattern region according to the gray values of the pixels to obtain a plurality of categories, use the mean value of the difference between the gray value of each pixel in the same category and the background gray value as a first mean value, use the gray mean value of each pixel in the same category as a second mean value, and use the ratio of the first mean value to the second mean value corresponding to the same category as the heat value of each pixel in the category.
The printing missing value calculating module 204 is configured to combine the pixels with the same relative position in each pattern region into a corresponding pixel point set, calculate variance of a calorific value of each pixel in each corresponding pixel point set, and use a mean value of each variance corresponding to each corresponding pixel point set as a printing missing value.
The optimal pressure value determining module 205 is configured to determine whether the printing missing value is greater than a preset threshold, if so, increase the pressure used in the micro-contact printing on the basis of the initial pressure, and sequentially invoke the grayscale image obtaining module 201, the pattern region obtaining module 202, the heat value calculating module 203, and the printing missing value calculating module 204 until the printing missing value is less than the preset threshold, where the pressure value that makes the printing missing value less than the preset threshold is used as the optimal pressure value. And if the judgment result is negative, taking the initial pressure as the optimal pressure value.
For the specific implementation, the related description and the technical effects of the modules, reference should be made to the method embodiment in the detailed description.
Based on the same inventive concept as the method, the embodiment also provides a micro-contact printing process pressure control artificial intelligence system, and the micro-contact printing process pressure control artificial intelligence system in the embodiment comprises a memory and a processor, wherein the processor executes a computer program stored in the memory to realize the control of the seal pressure in the micro-contact printing process based on image processing as described in the embodiment of the micro-contact printing process pressure control method.
Since the method for controlling the pressure of the stamp in the micro-contact printing process based on image processing has been described in the embodiment of the method for controlling the pressure in the micro-contact printing process, details are not repeated here.
In summary, embodiments of the present invention provide a method and an apparatus for controlling pressure during micro-contact printing, and an artificial intelligence system, which control pressure required by a stamp during micro-contact printing through image processing, and can determine pressure suitable for the stamp in a shorter time, thereby improving efficiency and printing effect of micro-contact printing.
The use of words such as "including," "comprising," "having," and the like in this disclosure is an open-ended term that means "including, but not limited to," and is used interchangeably therewith. As used herein, the words "or" and "refer to, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that the various components or steps may be broken down and/or re-combined in the methods and systems of the present invention. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The above-mentioned embodiments are merely examples for clearly illustrating the present invention and do not limit the scope of the present invention. It will be apparent to those skilled in the art that other variations and modifications may be made in the foregoing description, and it is not necessary or necessary to exhaustively enumerate all embodiments herein. All designs identical or similar to the present invention are within the scope of the present invention.
Claims (7)
1. A method of pressure control in a microcontact printing process, comprising:
s1, collecting a surface image subjected to micro-contact printing under initial pressure and carrying out graying to obtain a gray image;
s2, matching by using a preset template to respectively obtain each pattern area in the gray level image;
s3, clustering the pixels in each pattern area according to the gray values of the pixels to obtain a plurality of categories, taking the mean value of the difference value between the gray value of each pixel in the same category and the background gray value as a first mean value, taking the gray mean value of each pixel in the same category as a second mean value, and taking the ratio of the first mean value and the second mean value corresponding to the same category as the heat value of each pixel in the category;
s4, forming corresponding pixel point sets by the pixels with the same relative positions in each pattern area, respectively calculating the variance of the heat value of each pixel point in each corresponding pixel point set, and taking the mean value of the variances corresponding to each corresponding pixel point set as a printing missing value;
s5, judging whether the printing missing value is larger than a preset threshold value or not, if so, increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and executing S1-S4 again until the printing missing value is smaller than the preset threshold value, wherein the pressure adopted during micro-contact printing is increased in a preset pressure step length mode, and the pressure value which enables the printing missing value to be smaller than the preset threshold value is taken as an optimal pressure value; and if the judgment result is negative, taking the initial pressure as the optimal pressure value.
2. The method of claim 1, wherein after calculating the variance of the heat value of each pixel point corresponding to the position in each pattern area, the method further comprises:
respectively obtaining the weight corresponding to each position in the pattern area by utilizing PCA;
and taking the product of the variance corresponding to each position in the pattern area and the corresponding weight as the new variance of each position.
3. The method of claim 1, wherein graying the surface image to obtain a grayscale image comprises:
and taking the maximum value of the pixel values of the pixel points in the surface image in the RGB three channels as the gray value of the pixel points in the gray image.
4. The method of microcontact printing process pressure control of claim 1, further comprising:
increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and in the process from S1 to S4, when the printing missing value is still not less than the preset threshold value after the iteration of preset numerical times, calculating the average pressure value of the pressure adopted in the iteration process of the preset numerical times, adding the average pressure value to the preset numerical time of the preset pressure step length, and taking the obtained pressure value as the pressure adopted during the next micro-contact printing.
5. The method for controlling pressure in a micro-contact printing process according to claim 1, wherein each pattern area in the gray scale image obtained by matching using a preset template is consistent with the preset template; the preset template is obtained according to the pattern to be printed.
6. A microcontact printing process pressure control apparatus, comprising:
the gray level image acquisition module is used for acquiring a surface image of micro-contact printing under initial pressure and carrying out graying to obtain a gray level image;
the pattern area acquisition module is used for matching by using a preset template to respectively acquire each pattern area in the gray level image;
the heat value calculation module is used for clustering the pixels in each pattern area according to the gray values of the pixels to obtain a plurality of categories, taking the mean value of the difference value between the gray value of each pixel in the same category and the background gray value as a first mean value, taking the gray mean value of each pixel in the same category as a second mean value, and taking the ratio of the first mean value and the second mean value corresponding to the same category as the heat value of each pixel in the category;
the printing missing value calculation module is used for forming corresponding pixel point sets by all pixel points with the same relative positions in all pattern areas, respectively calculating the variance of the heat value of each pixel point in each corresponding pixel point set, and taking the mean value of each difference corresponding to each corresponding pixel point set as a printing missing value;
the optimal pressure value determining module is used for judging whether the printing missing value is larger than a preset threshold value or not, if so, increasing the pressure adopted during micro-contact printing on the basis of the initial pressure, and sequentially calling the gray image acquiring module, the pattern area acquiring module, the heat value calculating module and the printing missing value calculating module until the printing missing value is smaller than the preset threshold value, wherein the pressure adopted during micro-contact printing is increased in a preset pressure step length mode, and the pressure value which enables the printing missing value to be smaller than the preset threshold value is used as the optimal pressure value; and if the judgment result is negative, taking the initial pressure as the optimal pressure value.
7. A microcontact printing process pressure control artificial intelligence system, comprising: memory and processor, characterized in that the processor executes the computer program stored by the memory to implement the method of microcontact printing process pressure control according to any of claims 1-5.
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