A dynamic contact angle measurement method based on surface characteristics

Abstract

The present invention relates to the field of contact angle measurement technology, and in particular to a dynamic contact angle measurement method based on surface features. The dynamic contact angle measurement method based on surface features provided by the present invention comprises the following steps: obtaining a contour curve of a target surface, and extracting surface features of the target surface based on the contour curve; matching a target recording frequency parameter set from a recording frequency parameter matching library based on the surface features of the target surface; adjusting the image acquisition frequency of an image acquisition device according to the target recording frequency parameter set, and using the image acquisition device after frequency adjustment to acquire a side view image of a droplet in contact with the target surface; acquiring the contact angle of the droplet at different acquisition time nodes through the side view images at different acquisition time nodes, and obtaining a contact angle change curve based on the contact angle at different acquisition time nodes. The present invention can avoid redundant data caused by oversampling, and can increase the sampling frequency when the contact angle changes dramatically.

Description

Technical Field

[0001] The present invention relates to the technical field of contact angle measurement, and in particular to a dynamic contact angle measurement method based on surface features, a computer-readable storage medium and a computer program product. Background Art

[0002] The contact angle of a liquid droplet is an important physical quantity that measures the interaction between a liquid and a solid surface. It is widely used in coatings, surface treatment, microfluidic systems, materials science, environmental engineering, and life sciences.

[0003] In the process of contact angle measurement, the traditional fixed acquisition frequency method cannot flexibly cope with the non-uniformity of the droplet contact angle change. The change rate of the droplet contact angle is usually inconsistent at different time points, with a faster change in the early stage and a slower change in the later stage. Fixed frequency may lead to insufficient sampling when the change is fast, failing to capture key changes, and generating redundant data when the change is slow, wasting computing resources and affecting efficiency. Summary of the invention

[0004] The present invention provides a dynamic contact angle measurement method based on surface features, a computer-readable storage medium and a computer program product, aiming to solve the problem of mismatch between image acquisition frequency and contact angle change.

[0005] In one embodiment provided by the present invention, the dynamic contact angle measurement method based on surface features comprises the following steps:

[0006] Acquire a contour curve of a target surface, and extract surface features of the target surface based on the contour curve;

[0007] Based on the surface features of the target surface, matching a target recording frequency parameter set from a recording frequency parameter matching library, wherein the parameter matching library includes a plurality of recording frequency parameter sets, and any recording frequency parameter set is a set of shooting frequency parameters of an image acquisition device;

[0008] adjusting the image acquisition frequency of the image acquisition device according to the target recording frequency parameter set, and using the image acquisition device after the frequency adjustment to acquire a side view image of the droplet contacting the target surface;

[0009] The contact angle of the droplet at different acquisition time nodes is obtained through the side view images at different acquisition time nodes, and the contact angle change curve is obtained based on the contact angle at different acquisition time nodes.

[0010] In this embodiment or other embodiments, the recording frequency parameter matches a recording frequency parameter set in a library, which is obtained by the following steps:

[0011] Providing a sample surface, obtaining a contour curve of the sample surface, and extracting surface features of the sample surface;

[0012] Based on the sample surface, an initial recording frequency is set, and based on the initial recording frequency, a side view image of the droplet on the sample surface is continuously collected by an image acquisition device;

[0013] The contact angle between the liquid droplet and the sample surface in each side view image is obtained respectively, and based on the contact angle in each side view image, a recording frequency parameter set corresponding to the sample surface is obtained.

[0014] In this embodiment or other embodiments, the step of acquiring a recording frequency parameter set corresponding to the sample surface based on the contact angle in each side view image includes the following steps:

[0015] Combining the initial recording frequency and the contact angle in each side view image, obtaining a contact angle variation curve of the droplet on the sample surface;

[0016] Based on the contact angle change curve, the recording frequency is reset, and the contact angle difference corresponding to any two adjacent acquisition time nodes under the reset recording frequency does not exceed the difference threshold, and the time interval between any two adjacent acquisition time nodes under the reset recording frequency is greater than or equal to the time interval under the initial recording frequency;

[0017] Based on the reset recording frequency, a recording frequency parameter set corresponding to the sample surface is obtained.

[0018] In this embodiment or other embodiments, the recording frequency is reset based on the following conditional model:

[0019] First frequency parameters: ,at this time, ;

[0020] Second frequency parameters: ,at this time, ;……;

[0021] Qth frequency parameters: ,at this time, , ;

[0022] in, is the time interval at the initial recording frequency, , as well as Respectively represent the first frequency parameter, the second frequency parameter, the Qth frequency parameter, , , as well as Respectively represent the contact angle change curve , , , The corresponding contact angle change rate is represents the difference threshold, Represents the contact angle change rate threshold.

[0023] In this embodiment or other embodiments, matching the target recording frequency parameter set from a recording frequency parameter matching library based on the surface features of the target surface includes the following steps:

[0024] Based on the surface features of the target surface, the similarity between the target surface and the sample surface corresponding to each recording frequency parameter set in the recording frequency parameter matching library is respectively obtained;

[0025] The recording frequency parameter set corresponding to the sample surface having the highest similarity to the target surface is set as the target recording frequency parameter set.

[0026] In this embodiment or other embodiments, the similarity between the target surface and the sample surface corresponding to a recording frequency parameter set in the recording frequency parameter matching library satisfies the following calculation model: ,in, represents the similarity between the target surface T and the sample surface S, is the serial number, R is the number of surface features, represents the weight coefficient of the rth surface feature in the similarity calculation, represents the characterization value of the rth surface feature of the target surface, Represents the characterization value of the rth surface feature of the sample surface.

[0027] In this embodiment or other embodiments, the contact angle of the droplet in the side view image at any acquisition time node is obtained by the following steps:

[0028] Extracting morphological features of the droplet from the side-view image;

[0029] Based on the morphological characteristics of the contour curve of the droplet, matching a target curve fitting model from a curve fitting model library;

[0030] The geometric shape of the droplet is fitted by the target curve fitting model, and based on the geometric shape of the droplet, the contact angle of the droplet in the side view image is obtained.

[0031] In this embodiment or other embodiments, a contact angle in a side view image satisfies the following calculation model: ,in, is the contact angle, F represents the droplet geometry fitted by the target curve fitting model, is the droplet geometry F fitted based on the target curve fitting model The horizontal coordinate of the last contact point, Represents the geometric shape F The partial derivative at the contact point.

[0032] In this embodiment or other embodiments, based on the above-mentioned dynamic contact angle measurement method based on surface features, a computer-readable storage medium is also provided, and the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the dynamic contact angle measurement method based on surface features.

[0033] In this embodiment or other embodiments, based on the above-mentioned surface feature-based dynamic contact angle measurement method, a computer program product is also provided, including a computer program, which implements the steps of the surface feature-based dynamic contact angle measurement method when executed by a processor.

[0034] The dynamic contact angle measurement method based on surface features, computer-readable storage medium and computer program product provided by the present invention have the following benefits:

[0035] The present invention obtains the contour curve of the target surface and extracts the surface features, combines the recording frequency parameter with the sample data in the matching library, and dynamically adjusts the acquisition frequency of the image acquisition device to ensure that the contact angle change of the droplet can be accurately measured at different time nodes; further, the present invention can avoid redundant data caused by oversampling by adjusting the acquisition frequency, and can increase the sampling frequency when the contact angle changes drastically, thereby balancing data accuracy and efficiency; further, the present invention can automatically match the appropriate recording frequency according to different surface features, which helps to improve the measurement efficiency of the contact angle. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A flow chart of a method for measuring a dynamic contact angle based on surface features provided by one embodiment of the present invention;

[0037] Figure 2 A schematic diagram of a shooting viewing angle of a target surface provided by an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of image data collected by an image acquisition device before and after frequency resetting provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] In the following description, for the purpose of explanation rather than limitation, specific details such as specific system structures and technologies are proposed to facilitate a thorough understanding of the embodiments of the present application.

[0040] However, it should be clear to those skilled in the art that the present application can be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present application with unnecessary details.

[0041] In the contact angle measurement process, images of the droplet in contact with the surface at different acquisition time nodes are usually acquired based on the preset frequency of the image acquisition device, and the contact angle data at different time nodes are further obtained through image processing technology.

[0042] Based on the inapplicability of the preset frequency in some embodiments where the contact angle changes quickly or slowly, an embodiment of the present invention provides a dynamic contact angle measurement method based on surface features, and the specific implementation steps are as follows: Figure 1 As shown:

[0043] S01. Obtain a contour curve of a target surface, and extract surface features of the target surface based on the contour curve.

[0044] Furthermore, the contour curve of the target surface at any acquisition time node can be obtained through its side view image by using image processing technology.

[0045] It should be noted that multiple side-view images of the same target surface at different acquisition time nodes are all taken from the same shooting angle; Figure 2 As shown, Figure 2 The target surface is placed on a horizontal platform A parallel to the ground, and its corresponding shooting angle of view is parallel to the horizontal platform A.

[0046] Furthermore, the surface features proposed in the present invention refer to geometric features or physical features on the target surface that can affect the spreading behavior of the droplet, such as the slope, curvature, surface roughness, etc. of the droplet landing point.

[0047] Further, in this embodiment, the step S01 of extracting the surface features of the target surface based on the contour curve specifically includes the following steps:

[0048] S011. Based on the contour curve, obtain the slope of the droplet landing position.

[0049] S012. Extracting the curvature of the droplet landing position based on the contour curve.

[0050] S013. Extracting the contactable length of the droplet landing position based on the contour curve.

[0051] The slope difference and curvature difference corresponding to any two position points within the contactable length meet a set threshold, and the threshold can be determined based on experience of contact angle spreading behavior.

[0052] Furthermore, the specific surface features of the target surface can be obtained by combining the contour curve and its coordinates on the image through calculations using relevant formulas, which will not be described in detail here.

[0053] S02. Based on the surface features of the target surface, match the target recording frequency parameter set from a recording frequency parameter matching library, wherein the parameter matching library includes several recording frequency parameter sets, and any recording frequency parameter set is a set of shooting frequency parameters of an image acquisition device.

[0054] Furthermore, the surface features used to match the target recording frequency parameter set from the recording frequency parameter matching library include but are not limited to the slope, curvature, contactable length, surface roughness, etc. proposed in the above embodiments.

[0055] Furthermore, the recording frequency parameter matching library proposed in the present invention is a structured data storage library, which stores a number of recording frequency parameter set samples; further, any recording frequency parameter set in the recording frequency parameter matching library is obtained through the following steps:

[0056] S021. Provide a sample surface, obtain a contour curve of the sample surface, and extract surface features of the sample surface.

[0057] S022. Based on the sample surface, an initial recording frequency is set, and based on the initial recording frequency, a side view image of the droplet on the sample surface is continuously collected by an image acquisition device.

[0058] It should be noted that, under normal circumstances, the initial recording frequency is a specific value, that is, the intervals between any two adjacent acquisition time nodes based on this recording frequency are the same; and, in order to ensure the accuracy requirements of the contact angle data collected after adjusting the frequency, in this embodiment or some other embodiments, the initial recording frequency is the highest frequency that the image acquisition device can achieve.

[0059] For further information, see Figure 3 (a), Figure 3 (a) is a schematic diagram of image acquisition at the initial recording frequency proposed in this embodiment; Figure 3 As shown in (a), the time interval between any two consecutive collected images P is equal, which is .

[0060] S023. Obtain the contact angle between the liquid droplet and the sample surface in each side-view image respectively, and obtain a recording frequency parameter set corresponding to the sample surface based on the contact angle in each side-view image.

[0061] Furthermore, the contact angle between the liquid droplet and the sample surface in any side view image can be calculated based on the image boundary in the side view image by fitting the geometric shape of the liquid droplet to calculate the contact angle between the liquid droplet and the sample surface.

[0062] Typically, the fitting of the droplet boundary curves in different side-view images is performed based on the same fixed fitting model, such as a circular model, an elliptical model, a polynomial function, and the like.

[0063] In this embodiment, in order to achieve accurate measurement of the contact angle, the contact angle between the droplet and the sample surface in the side view image collected at any collection time node is obtained by the following method:

[0064] S02311. Extracting morphological features of the droplet from the side-view image.

[0065] It can be understood that at any acquisition time node, the contact angle between the droplet and the target surface is static and unchanged; further, the present invention can be implemented in a dynamic scene, that is, the dynamic scene is divided into continuous static scenes, and in each static scene, the static droplet contact angle measurement method based on morphological features provided in this embodiment is used to calculate the contact angle between the droplet and the target surface.

[0066] Furthermore, the side view image of the droplet in contact with the target surface at any acquisition time point can be obtained by shooting with a high-resolution camera or optical equipment from a perspective parallel to the target surface.

[0067] Furthermore, the morphological features of the droplet in any side view image are characterized by a contour curve of the droplet cross section; specifically, the contour curve of the droplet in any side view image can be extracted by existing image technology, such as the Canny algorithm to extract the droplet edge points to connect them into an edge contour curve.

[0068] S02312. Matching a target curve fitting model from a curve fitting model library based on the morphological features of the contour curve of the droplet.

[0069] Furthermore, the curve fitting model library proposed in the present invention is another structured data repository, which stores a number of curve fitting models; further, the matching of any curve fitting model with the droplet profile curve is achieved through the following steps and calculation models:

[0070] Step 1, based on a curve fitting model , obtain the optimal parameter set for fitting the droplet profile curve ; Further, the optimal parameter set Satisfies the following objective function: , where i, j, and k are serial numbers, n is the number of sample points representing the droplet profile curve, and m represents the curve fitting model The number of parameters in is the i-th sample point representing the droplet profile curve, Represents a parameter set based Curve fitting model , using the horizontal coordinate of the i-th sample point of the droplet profile curve The ordinate of the i-th sample point of the fitting, is the regularization coefficient, which usually ranges from to , Represents a parameter set based Curve fitting model For parameter sets The kth parameter in The partial derivative of .

[0071] Step 2: Based on curve fitting model Optimal parameter set for fitting droplet profile curve , and obtain the curve fitting model Minimum error of fitting droplet profile curve ; Further, the minimum error amount satisfies the following calculation model: ,in, Represents the optimal parameter set Curve fitting model , using the horizontal coordinate of the i-th sample point of the droplet profile curve The ordinate of the i-th sample point of the fitting, Represents the optimal parameter set Curve fitting model For the optimal parameter set The kth parameter in The partial derivative of .

[0072] Step 3: Fit the model based on other curves The minimum error The size of the curve fitting model is confirmed The matching degree with the droplet profile curve, further, the matching degree satisfies the following calculation model: ,in, Represents a curve fitting model is the target curve fitting model, Represents a curve fitting model Non-targeted curve fitting models, Also the serial number, , Indicates that there is a curve fitting model , which corresponds to the minimum error Less than the curve fitting model The corresponding minimum error .

[0073] S02313. Fit the geometric shape of the droplet through the target curve fitting model, and obtain the contact angle of the droplet in the side view image based on the geometric shape of the droplet.

[0074] Further, based on the geometric shape F fitted by the target curve fitting model F , any contact angle between it and the sample surface , satisfying the following calculation model: ,in, The geometric shape F The horizontal coordinate of the contact point with the sample surface, Represents the geometric shape F The partial derivative at the contact point.

[0075] Furthermore, the step S023 of acquiring a recording frequency parameter set corresponding to the sample surface based on the contact angle in each side view image includes the following steps:

[0076] S02321. Acquire a contact angle variation curve of the droplet on the sample surface by combining the initial recording frequency and the contact angle in each side view image.

[0077] It can be known that the contact angle of the droplet will change with time; further, based on multiple contact angle sample data at different acquisition time nodes, the contact angle change curve can be obtained through existing curve fitting methods such as polynomial fitting and spline interpolation fitting.

[0078] In this embodiment, based on the initial recording frequency corresponding to the acquisition time node and the contact angle size in the side view image acquired at the acquisition time node, the fitted contact angle change curve satisfies the following characterization model: =C(t), where C(t) is the contact angle variation function with time as the only variable.

[0079] S02322. Based on the contact angle change curve, reset the recording frequency, so that the contact angle difference corresponding to any two adjacent acquisition time nodes at the reset recording frequency does not exceed the difference threshold, and the time interval between any two adjacent acquisition time nodes at the reset recording frequency is greater than or equal to the time interval at the initial recording frequency.

[0080] Furthermore, the difference threshold described in this embodiment refers to the maximum allowable change in the contact angle between two adjacent acquisition time nodes during the change of the droplet contact angle; it can be understood that it means that under the new sampling strategy after resetting the recording frequency, the difference in contact angles between two adjacent acquisition moments cannot exceed this threshold.

[0081] Generally, the difference threshold can be set according to the data accuracy requirements, which can control the amplitude of the contact angle change, thereby avoiding the collection of too much redundant data in areas where the contact angle changes more slowly, while increasing the sampling frequency in areas where the change is more drastic, thereby achieving a balance between accuracy and efficiency.

[0082] Furthermore, in this embodiment, the recording frequency is reset based on the following conditional model:

[0083] First frequency parameters: ,at this time, ;

[0084] Second frequency parameters: ,at this time, ;

[0085] …

[0086] Up to Qth frequency parameters: ,at this time, , ;

[0087] in, is the time interval at the initial recording frequency, , as well as Respectively represent the first frequency parameter, the second frequency parameter, the Qth frequency parameter, , , as well as Respectively represent the contact angle change curve , , , The corresponding contact angle change rate is represents the difference threshold, Represents the contact angle change rate threshold.

[0088] It is understandable that the contact angle change rate threshold is a calibration value, which is used to control the condition for stopping sampling; specifically, the contact angle change rate threshold A threshold value, when it is lower than or equal to this threshold value, it means that the contact angle changes very slowly or almost does not change, so frequent sampling is no longer needed and the system stops sampling.

[0089] Based on the reset recording frequency, a recording frequency parameter set corresponding to the sample surface is obtained.

[0090] Furthermore, the step S02 of matching a target recording frequency parameter set from a recording frequency parameter matching library based on the surface features of the target surface includes the following steps:

[0091] S0241. Based on the surface features of the target surface, respectively obtain the similarity between the target surface and the sample surface corresponding to each recording frequency parameter set in the recording frequency parameter matching library.

[0092] In this embodiment, the similarity between the target surface and the sample surface corresponding to a recording frequency parameter set in the recording frequency parameter matching library satisfies the following calculation model: ,in, represents the similarity between the target surface T and the sample surface S, is the serial number, R is the number of surface features, represents the weight coefficient of the rth surface feature in the similarity calculation, represents the characterization value of the rth surface feature of the target surface, Represents the characterization value of the rth surface feature of the sample surface.

[0093] Furthermore, the weight coefficient of any surface feature in the similarity calculation can be set based on experience, or can be set or optimized by using relevant experimental data and automatically learning the contribution of each feature to the contact angle change through a machine learning algorithm.

[0094] S0242. Set the recording frequency parameter set corresponding to the sample surface having the highest similarity to the target surface as the target recording frequency parameter set.

[0095] It is understood that step S0242 can provide a set of target recording frequency parameters for the contact angle measurement of the target surface. , which is used to adjust the image acquisition frequency of the image acquisition device, so that in areas where the contact angle changes rapidly, the acquisition frequency can be increased to obtain more detailed information; while in areas where the contact angle changes slowly, the acquisition frequency can be reduced to avoid data redundancy and improve sampling efficiency.

[0096] S03. According to the target recording frequency parameter set, the image acquisition frequency of the image acquisition device is adjusted, and the side view image of the droplet contacting the target surface is acquired by using the image acquisition device after the frequency adjustment.

[0097] For further information, see Figure 3 (b), Figure 3(b) is a schematic diagram of image acquisition under the target recording frequency parameters proposed in this embodiment; Figure 3 As shown in (b), the time interval between any two consecutively acquired images is set based on the frequency parameters in the target recording frequency parameter set, which can be the same or different.

[0098] S04. Obtain the contact angle of the droplet at different acquisition time nodes through the side view images at different acquisition time nodes, and obtain a contact angle change curve based on the contact angle at different acquisition time nodes.

[0099] In step S04, the contact angle in the side view image collected at any collection time node can be calculated according to the above-mentioned Step 1 to Step 3, which will not be described in detail here.

[0100] Similarly, based on the contact angles at different acquisition time nodes, the contact angle variation curve is obtained, and the corresponding contact angle variation curve can also be obtained through existing curve fitting methods such as polynomial fitting and spline interpolation fitting.

[0101] In this embodiment and other embodiments, in relation to the dynamic contact angle measurement method based on surface features provided in the above embodiments, a computer-readable storage medium is also provided, which includes a stored program; when the program is running, the device where the computer-readable storage medium is located controls some or all of the steps in the above-mentioned dynamic contact angle measurement method based on surface features.

[0102] In this embodiment and other embodiments, a computer program product is also provided for the test droplet control method based on the surface features provided in the above embodiments, which includes a computer program; when the computer program is executed by a processor, some or all of the steps in the above-mentioned dynamic contact angle measurement method based on surface features are implemented.

[0103] Finally, it should be noted that the aforementioned embodiments are only used to illustrate the technical solution of the present invention rather than to limit it, and the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, please refer to the relevant description of other embodiments. Although the aforementioned embodiments have described the present invention in detail, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents.

Claims

1. A dynamic contact angle measurement method based on surface characteristics, characterized in that: The steps include: Acquire a contour curve of a target surface, and extract surface features of the target surface based on the contour curve; match a target recording frequency parameter set from a recording frequency parameter matching library based on the surface features of the target surface, wherein the parameter matching library includes a plurality of recording frequency parameter sets, and any recording frequency parameter set is a set of shooting frequency parameters of an image acquisition device; adjust the image acquisition frequency of the image acquisition device according to the target recording frequency parameter set, and use the image acquisition device after the frequency adjustment to acquire a side view image of the droplet contacting the target surface; The contact angle of the droplet at different acquisition time nodes is obtained through the side view images at different acquisition time nodes, and the contact angle change curve is obtained based on the contact angle at different acquisition time nodes; The recording frequency parameter matches a recording frequency parameter set in the library, which is obtained by the following steps: Providing a sample surface, obtaining a contour curve of the sample surface, and extracting surface features of the sample surface; Based on the sample surface, an initial recording frequency is set, the initial recording frequency is the highest frequency that can be achieved by the image acquisition device, and based on the initial recording frequency, the side view images of the droplet on the sample surface are continuously acquired by the image acquisition device; the contact angle between the droplet and the sample surface in each side view image is respectively acquired, and based on the contact angle in each side view image, a recording frequency parameter set corresponding to the sample surface is acquired; The method of obtaining a recording frequency parameter set corresponding to the sample surface based on the contact angle in each side-view image comprises the following steps: obtaining a contact angle change curve of a droplet on the sample surface in combination with the initial recording frequency and the contact angle in each side-view image; resetting the recording frequency based on the contact angle change curve, wherein the difference in contact angles corresponding to any two adjacent acquisition time nodes at the reset recording frequency does not exceed a difference threshold, and the time interval between any two adjacent acquisition time nodes at the reset recording frequency is greater than or equal to the time interval at the initial recording frequency; obtaining a recording frequency parameter set corresponding to the sample surface based on the reset recording frequency; The recording frequency is reset based on the following conditional model: First frequency parameter: ,at this time, ; Second frequency parameters: ,at this time, ;……; Qth frequency parameters: ,at this time, , ;in, is the time interval at the initial recording frequency, , as well as Respectively represent the first frequency parameter, the second frequency parameter, the Qth frequency parameter, , , as well as Respectively represent the contact angle change curve , , , The corresponding contact angle change rate is represents the difference threshold, Represents the contact angle change rate threshold.

2. The method for measuring dynamic contact angle based on surface features according to claim 1, characterized in that: The method of matching a target recording frequency parameter set from a recording frequency parameter matching library based on the surface features of the target surface comprises the following steps: Based on the surface features of the target surface, the similarity between the target surface and the sample surface corresponding to each recording frequency parameter set in the recording frequency parameter matching library is respectively obtained; The recording frequency parameter set corresponding to the sample surface having the highest similarity to the target surface is set as the target recording frequency parameter set.

3. The method for measuring dynamic contact angle based on surface features according to claim 2, characterized in that: The similarity between the target surface and the sample surface corresponding to a set of recording frequency parameters in the recording frequency parameter matching library satisfies the following calculation model: ,in, represents the similarity between the target surface T and the sample surface S, is the serial number, R is the number of surface features, represents the weight coefficient of the rth surface feature in the similarity calculation, represents the characterization value of the rth surface feature of the target surface, Represents the characterization value of the rth surface feature of the sample surface.

4. The method for measuring dynamic contact angle based on surface features according to claim 1, characterized in that: The contact angle of the droplet in the side view image at any acquisition time node is obtained by the following steps: Extracting morphological features of the droplet from the side-view image; Based on the morphological characteristics of the contour curve of the droplet, matching a target curve fitting model from a curve fitting model library; The geometric shape of the droplet is fitted by the target curve fitting model, and based on the geometric shape of the droplet, the contact angle of the droplet in the side view image is obtained.

5. The method for measuring dynamic contact angle based on surface features according to claim 1, characterized in that: A contact angle in a side view image satisfies the following calculation model: ,in, is the contact angle, F represents the droplet geometry fitted by the target curve fitting model, is the droplet geometry F fitted based on the target curve fitting model The horizontal coordinate of the last contact point, Represents the geometric shape F The partial derivative at the contact point.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the surface feature-based dynamic contact angle measurement method according to any one of claims 1 to 5.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the surface feature-based dynamic contact angle measurement method according to any one of claims 1 to 5 are implemented.

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