Real-time quantitative evaluation system for quality of Newton ring interference fringes
Through the hierarchical evaluation architecture and multi-dimensional quantitative parameters, the subjectivity and adaptability problems of Newton ring interference fringe quality assessment are solved, and objective and accurate real-time quantitative evaluation is achieved.
Patent Information
- Application Number
- CN202510912805.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-03
- Publication Date
- 2025-10-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing quality assessment of Newton ring interference fringes relies on manual observation, which has the problems of strong subjectivity, difficulty in quantification and poor adaptability.
A hierarchical evaluation architecture is adopted, including image acquisition, primary evaluation, evaluation adjustment and evaluation decision modules. Multi-dimensional quantitative evaluation is performed through parameters such as dark ring completeness, light and dark ring contrast, and dark ring circularity, and real-time dynamic adjustment is made.
The objective quantitative evaluation of the quality of Newton ring interference fringes is achieved, the randomness of manual judgment is reduced, and the adaptability and evaluation accuracy of the system in complex environments are enhanced.
Smart Images
Figure CN120740433A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of optical technology, in particular to a real-time quantitative evaluation system for Newton ring interference fringe quality. Background Art
[0002] Newton's ring interference phenomenon is an important means of optical detection and is widely used in lens curvature measurement, thin film thickness analysis, and optical component surface flatness detection.
[0003] Traditional Newton ring fringe quality assessment relies primarily on manual observation, where the clarity, completeness, and roundness of the fringe are judged visually. This judgment is heavily influenced by subjective experience, leading to significant differences in the evaluation results between different observers and difficulty in quantifying the degree of defects. With the development of machine vision technology, some existing systems have attempted to achieve automated assessment of fringe quality through image recognition, but most suffer from the problem of a single evaluation dimension. For example, some solutions only identify the degree of dark ring incompleteness through edge detection, without considering the impact of the contrast between light and dark rings on fringe visibility. Furthermore, existing systems generally lack a hierarchical assessment and dynamic correction mechanism. When the detection environment changes, the reliability of the assessment results decreases significantly.
[0004] Therefore, it is necessary to provide a real-time quantitative evaluation system for Newton ring interference fringe quality to solve the problem of incomplete quality evaluation of Newton ring interference fringe in the prior art. Summary of the Invention
[0005] In view of this, the present invention proposes a real-time quantitative evaluation system for Newton ring interference fringe quality, aiming to solve the problem of incomplete quality evaluation of Newton ring interference fringe in the prior art.
[0006] The present invention proposes a real-time quantitative evaluation system for Newton ring interference fringe quality, comprising:
[0007] an image acquisition module configured to acquire a Newton ring image;
[0008] a primary evaluation module configured to identify bright rings and dark rings in the Newton rings image, determine whether the dark rings are complete, and perform a primary evaluation of the fringe quality of the Newton rings image based on the completeness of the dark rings to obtain a primary evaluation value;
[0009] an evaluation and adjustment module configured to set a plurality of sampling points on the bright ring and the dark ring, calculate the mean brightness of the bright ring and the mean brightness of the dark ring based on the brightness of the sampling points, calculate the contrast between the bright ring and the dark ring, and adjust the primary evaluation value based on the contrast to obtain an evaluation adjustment value;
[0010] The evaluation decision module is configured to calculate the distance between each sampling point of each dark ring and the center point of the Newton ring image, calculate the difference between the distances of each dark ring, screen out the maximum distance difference, and obtain the maximum distance difference of each dark ring; obtain the dark ring circularity of the Newton ring image according to the maximum distance difference of each dark ring, and determine whether to adjust the evaluation adjustment value according to the dark ring circularity; if it is determined to be adjusted, adjust the evaluation adjustment value according to the dark ring circularity to obtain a final evaluation value.
[0011] Furthermore, the primary evaluation module is configured to identify bright rings and dark rings in the Newton rings image, and to determine whether the dark rings are complete, including:
[0012] If the dark ring is intact, the dark ring is considered complete, and the completeness is 1;
[0013] If the dark ring is incomplete, the dark ring is determined to be incomplete, and the completeness of the dark ring is calculated.
[0014] Furthermore, the calculation of the completeness of the dark ring includes:
[0015] The sum of the dark ring area and the incomplete area is calculated to obtain the complete area of the dark ring. The completeness of the dark ring is obtained according to the ratio of the dark ring area to the complete area of the dark ring.
[0016] Furthermore, the primary evaluation module is configured to perform a primary evaluation on the fringe quality of the Newton rings image according to the completeness of the dark rings, and to obtain the primary evaluation value, including:
[0017] Set the first completeness and second completeness, 1>first completeness>second completeness;
[0018] If the completeness is 1, the primary evaluation value is the first evaluation value;
[0019] If the completeness is less than 1 and greater than or equal to the first completeness, the primary evaluation value is the second evaluation value;
[0020] If the integrity is less than the first integrity and greater than or equal to the second integrity, the primary evaluation value is the third evaluation value;
[0021] If the completeness is less than the second completeness, the primary evaluation value is the fourth evaluation value;
[0022] First evaluation value>Second evaluation value>Third evaluation value>Fourth evaluation value.
[0023] Furthermore, the evaluation and adjustment module is configured to calculate the mean brightness of the bright ring and the mean brightness of the dark ring according to the brightness of the sampling points, and calculate the contrast between the bright ring and the dark ring, including:
[0024] Contrast = (mean brightness of bright ring - mean brightness of dark ring) / (mean brightness of bright ring + mean brightness of dark ring).
[0025] Furthermore, the evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and before obtaining the evaluation adjustment value, includes:
[0026] Setting a minimum contrast value, and if the contrast is less than the minimum contrast value, determining that the primary evaluation value needs to be adjusted;
[0027] If the contrast is greater than or equal to the minimum contrast value, it is determined that the primary evaluation value does not need to be adjusted, and the primary evaluation value is directly used as the evaluation adjustment value.
[0028] Furthermore, the evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and obtain the evaluation adjustment value, including:
[0029] Setting a first contrast ratio, wherein the first contrast ratio is less than the minimum contrast ratio;
[0030] If the contrast is less than the minimum contrast value and greater than or equal to the first contrast, adjusting the primary evaluation value by a first adjustment value;
[0031] If the contrast is less than the first contrast, adjusting the primary evaluation value by a second adjustment value;
[0032] The adjustment value range is 1>first adjustment value>second adjustment value, and the evaluation adjustment value is the product of the adjustment value and the primary evaluation value.
[0033] Furthermore, when the evaluation and decision module is configured to obtain the dark ring circularity of the Newton ring image according to the maximum value of the distance difference of each dark ring, it includes:
[0034] Calculate the mean of the maximum difference values according to the maximum distance difference value of each dark ring;
[0035] If the mean of the maximum values of the differences is 0, the dark ring circularity is 1;
[0036] Setting a first difference and a second difference, wherein the first difference is smaller than the second difference;
[0037] If the average of the maximum values of the difference values is greater than 0 and less than or equal to the first difference value, the dark ring roundness is the first roundness;
[0038] If the maximum value of the difference is greater than the first difference and less than or equal to the second difference, the dark ring roundness is the second roundness;
[0039] If the maximum difference is greater than the second difference, the dark ring circularity is the third circularity;
[0040] 1>First roundness>Second roundness>Third roundness.
[0041] Furthermore, when the evaluation decision module is configured to determine whether to adjust the evaluation adjustment value according to the dark ring circularity, the evaluation decision module includes:
[0042] If the dark ring circularity is less than 1, it is determined that the evaluation adjustment value should be adjusted;
[0043] If the dark ring circularity is 1, it is determined that the evaluation adjustment value is not adjusted.
[0044] Furthermore, the evaluation decision module is configured to adjust the evaluation adjustment value according to the dark ring circularity to obtain the evaluation final value, including:
[0045] If the dark ring roundness is the first roundness, adjusting the evaluation adjustment value by a first adjustment coefficient;
[0046] If the dark ring circularity is the second circularity, adjusting the evaluation adjustment value by a second adjustment coefficient;
[0047] If the dark ring circularity is the third circularity, adjusting the evaluation adjustment value by a third adjustment coefficient;
[0048] The value range of the adjustment coefficient is 1>first adjustment coefficient>second adjustment coefficient>third adjustment coefficient; the final evaluation value is the product of the evaluation adjustment value and the adjustment coefficient.
[0049] Compared with existing technologies, the present invention offers the following advantages: First, it employs a hierarchical evaluation architecture, encompassing a comprehensive process from image acquisition to final decision-making, ensuring a systematic evaluation process. The image acquisition module provides high-quality raw data for subsequent analysis; the primary evaluation module establishes a foundational evaluation framework by determining dark ring integrity; the evaluation and adjustment module optimizes the primary results through a contrast quantification mechanism; and the evaluation and decision module performs final corrections using roundness analysis. This multi-dimensional evaluation system more comprehensively reflects the actual state of stripe quality than single-metric evaluation. Second, the system's quantitative evaluation mechanism overcomes the subjective limitations of traditional manual observation. By converting parameters such as dark ring integrity, light-dark ring contrast, and dark ring roundness into calculable numerical indices, the evaluation results are objectively quantified, eliminating the randomness inherent in manual judgment. Furthermore, the real-time dynamic adjustment mechanism enhances the system's adaptability to complex scenarios. The evaluation and adjustment module and the decision-making module perform secondary corrections to the primary results based on contrast and roundness, respectively. This dynamic optimization process effectively addresses practical interference factors such as light source fluctuations and component installation errors. BRIEF DESCRIPTION OF THE DRAWINGS
[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:
[0051] Figure 1 Functional block diagram of a real-time quantitative evaluation system for Newton ring interference fringe quality provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
[0053] In some embodiments of the present application, see Figure 1 As shown, this embodiment provides a real-time quantitative evaluation system for Newton ring interference fringe quality, including:
[0054] an image acquisition module configured to acquire a Newton ring image;
[0055] a primary evaluation module configured to identify bright rings and dark rings in the Newton rings image, determine whether the dark rings are complete, and perform a primary evaluation of the fringe quality of the Newton rings image based on the completeness of the dark rings to obtain a primary evaluation value;
[0056] an evaluation and adjustment module configured to set a plurality of sampling points on the bright ring and the dark ring, calculate the mean brightness of the bright ring and the mean brightness of the dark ring based on the brightness of the sampling points, calculate the contrast between the bright ring and the dark ring, and adjust the primary evaluation value based on the contrast to obtain an evaluation adjustment value;
[0057] The evaluation decision module is configured to calculate the distance between each sampling point of each dark ring and the center point of the Newton ring image, calculate the difference between the distances of each dark ring, screen out the maximum distance difference, and obtain the maximum distance difference of each dark ring; obtain the dark ring circularity of the Newton ring image according to the maximum distance difference of each dark ring, and determine whether to adjust the evaluation adjustment value according to the dark ring circularity; if it is determined to be adjusted, adjust the evaluation adjustment value according to the dark ring circularity to obtain a final evaluation value.
[0058] As can be understood, firstly, the present invention adopts a hierarchical evaluation architecture, encompassing a comprehensive process from image acquisition to final decision-making, ensuring a systematic evaluation process. The image acquisition module provides high-quality raw data for subsequent analysis. The primary evaluation module establishes a foundational evaluation framework by determining dark ring integrity. The evaluation and adjustment module incorporates a contrast quantification mechanism to optimize the primary results. Finally, the evaluation and decision-making module performs final corrections using roundness analysis. This multi-dimensional evaluation system more comprehensively reflects the actual state of stripe quality than single-metric evaluation. Secondly, the system's quantitative evaluation mechanism overcomes the subjective limitations of traditional manual observation. By converting parameters such as dark ring integrity, light-dark ring contrast, and dark ring roundness into calculable numerical indices, the evaluation results are objectively quantified, avoiding the randomness inherent in manual judgment. Furthermore, the real-time dynamic adjustment mechanism enhances the system's adaptability to complex scenarios. The evaluation and adjustment module and the decision-making module perform secondary corrections to the primary results based on contrast and roundness, respectively. This dynamic optimization process effectively addresses practical interference factors such as light source fluctuations and component installation errors.
[0059] In some embodiments of the present application, the primary evaluation module is configured to identify bright rings and dark rings in a Newton's rings image, and to determine whether the dark rings are complete, including:
[0060] If the dark ring is intact, the dark ring is considered complete, and the completeness is 1;
[0061] If the dark ring is incomplete, the dark ring is determined to be incomplete, and the completeness of the dark ring is calculated.
[0062] In some embodiments of the present application, the calculation of the completeness of the dark ring includes:
[0063] The sum of the dark ring area and the incomplete area is calculated to obtain the complete area of the dark ring. The completeness of the dark ring is obtained according to the ratio of the dark ring area to the complete area of the dark ring.
[0064] In some embodiments of the present application, the primary evaluation module is configured to perform a primary evaluation on the fringe quality of the Newton rings image based on the completeness of the dark rings, and to obtain the primary evaluation value, including:
[0065] Set the first completeness and second completeness, 1>first completeness>second completeness;
[0066] If the completeness is 1, the primary evaluation value is the first evaluation value;
[0067] If the completeness is less than 1 and greater than or equal to the first completeness, the primary evaluation value is the second evaluation value;
[0068] If the integrity is less than the first integrity and greater than or equal to the second integrity, the primary evaluation value is the third evaluation value;
[0069] If the completeness is less than the second completeness, the primary evaluation value is the fourth evaluation value;
[0070] First evaluation value>Second evaluation value>Third evaluation value>Fourth evaluation value.
[0071] As can be seen, the design of this primary assessment module significantly improves the accuracy and operability of Newton ring interference fringe quality assessment through a systematic grading strategy. First, the dark ring integrity metric is quantified into a precise numerical metric (i.e., the ratio of the dark ring area to the theoretically intact area), eliminating the ambiguous distinction between complete and incomplete in traditional manual assessments and providing a clear mathematical basis for the assessment results. For example, when a level 3 dark ring is detected with 15% incompleteness, the system accurately calculates the integrity as 0.85, providing an objective basis for subsequent grading. Second, a multi-threshold grading assessment mechanism (setting a first integrity level, such as 0.9, and a second integrity level, such as 0.7) enables refined differentiation of fringe quality, fully accounting for the varying impacts of defects on optical performance in real-world applications. When the integrity level is ≥ 0.9, the system assigns the second evaluation value, indicating that minor fringe defects do not affect core functionality; when the integrity level is < 0.7, it is assigned the fourth evaluation value, indicating that fringe defects have seriously affected measurement accuracy. This grading strategy provides a clear reference standard for optical component quality control. Furthermore, this solution establishes a linear mapping relationship between integrity and stripe quality by presetting an evaluation value gradient (first evaluation value>second evaluation value>third evaluation value>fourth evaluation value).
[0072] In some embodiments of the present application, the evaluation and adjustment module is configured to calculate the mean brightness of the bright ring and the mean brightness of the dark ring according to the brightness of the sampling points. When calculating the contrast between the bright ring and the dark ring, the calculation includes:
[0073] Contrast = (mean brightness of bright ring - mean brightness of dark ring) / (mean brightness of bright ring + mean brightness of dark ring).
[0074] In some embodiments of the present application, the evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and before obtaining the evaluation adjustment value, includes:
[0075] Setting a minimum contrast value, and if the contrast is less than the minimum contrast value, determining that the primary evaluation value needs to be adjusted;
[0076] If the contrast is greater than or equal to the minimum contrast value, it is determined that the primary evaluation value does not need to be adjusted, and the primary evaluation value is directly used as the evaluation adjustment value.
[0077] In some embodiments of the present application, the evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and obtain the evaluation adjustment value, including:
[0078] Setting a first contrast ratio, wherein the first contrast ratio is less than the minimum contrast ratio;
[0079] If the contrast is less than the minimum contrast value and greater than or equal to the first contrast, adjusting the primary evaluation value by a first adjustment value;
[0080] If the contrast is less than the first contrast, adjusting the primary evaluation value by a second adjustment value;
[0081] The adjustment value range is 1>first adjustment value>second adjustment value, and the evaluation adjustment value is the product of the adjustment value and the primary evaluation value.
[0082] It is understandable that the evaluation and adjustment module determines the contrast of the image by calculating the average brightness of the bright rings and dark rings, and adjusts the primary evaluation value accordingly. Specifically, when the contrast is lower than the preset minimum value, the system will consider that the primary evaluation value needs to be adjusted. If the contrast is higher than or equal to the minimum value, no adjustment is required, and the primary evaluation value is used directly. In addition, based on the relationship between the contrast and the first contrast threshold, the system will use different adjustment values to fine-tune the primary evaluation value to ensure that the final evaluation adjustment value reflects the actual quality of the image while avoiding the negative effects of over-adjustment. This flexible adjustment mechanism helps to improve the accuracy and adaptability of image processing.
[0083] In some embodiments of the present application, when the evaluation and decision module is configured to obtain the dark ring circularity of the Newton ring image according to the maximum distance difference of each dark ring, the evaluation and decision module includes:
[0084] Calculate the mean of the maximum difference values according to the maximum distance difference value of each dark ring;
[0085] If the mean of the maximum values of the differences is 0, the dark ring circularity is 1;
[0086] Setting a first difference and a second difference, wherein the first difference is smaller than the second difference;
[0087] If the average of the maximum values of the difference values is greater than 0 and less than or equal to the first difference value, the dark ring roundness is the first roundness;
[0088] If the maximum value of the difference is greater than the first difference and less than or equal to the second difference, the dark ring roundness is the second roundness;
[0089] If the maximum difference is greater than the second difference, the dark ring circularity is the third circularity;
[0090] 1>First roundness>Second roundness>Third roundness.
[0091] In some embodiments of the present application, when the evaluation decision module is configured to determine whether to adjust the evaluation adjustment value according to the dark ring circularity, the process includes:
[0092] If the dark ring circularity is less than 1, it is determined that the evaluation adjustment value should be adjusted;
[0093] If the dark ring circularity is 1, it is determined that the evaluation adjustment value is not adjusted.
[0094] In some embodiments of the present application, the evaluation decision module is configured to adjust the evaluation adjustment value according to the dark ring circularity to obtain the evaluation final value, including:
[0095] If the dark ring roundness is the first roundness, adjusting the evaluation adjustment value by a first adjustment coefficient;
[0096] If the dark ring circularity is the second circularity, adjusting the evaluation adjustment value by a second adjustment coefficient;
[0097] If the dark ring circularity is the third circularity, adjusting the evaluation adjustment value by a third adjustment coefficient;
[0098] The value range of the adjustment coefficient is 1>first adjustment coefficient>second adjustment coefficient>third adjustment coefficient; the final evaluation value is the product of the evaluation adjustment value and the adjustment coefficient.
[0099] As can be understood, the evaluation and decision module optimizes the evaluation process by analyzing the circularity of the dark rings in the Newton rings image. First, the maximum distance difference of each dark ring is calculated, and a mean of the maximum difference values is calculated based on these values. If this mean is 0, the dark ring is perfectly round, and the dark ring circularity is set to 1. Next, based on the range of the mean maximum difference values, the dark ring circularity is divided into three levels, each corresponding to a circularity value, and these circularity values are in a decreasing relationship. When deciding whether to adjust the evaluation value, if the dark ring circularity is less than 1, indicating imperfect circularity, the evaluation and decision module determines that the evaluation adjustment value needs to be adjusted. If the dark ring circularity is 1, indicating perfect circularity, no adjustment is required. Finally, based on the different dark ring circularity values, the evaluation and decision module applies different adjustment coefficients to the evaluation adjustment value to obtain the final evaluation value. The setting of the adjustment coefficient ensures that the evaluation value adjustment is inversely proportional to the degree of dark ring circularity imperfection, thereby improving the accuracy and reliability of the evaluation.
[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or a combination of software and hardware embodiments. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0102] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.
Claims
1. A real-time quantitative evaluation system for Newton ring interference fringe quality, characterized in that: include: an image acquisition module configured to acquire a Newton ring image; a primary evaluation module configured to identify bright rings and dark rings in the Newton rings image, determine whether the dark rings are complete, and perform a primary evaluation of the fringe quality of the Newton rings image based on the completeness of the dark rings to obtain a primary evaluation value; an evaluation and adjustment module configured to set a plurality of sampling points on the bright ring and the dark ring, calculate the mean brightness of the bright ring and the mean brightness of the dark ring based on the brightness of the sampling points, calculate the contrast between the bright ring and the dark ring, and adjust the primary evaluation value based on the contrast to obtain an evaluation adjustment value; The evaluation decision module is configured to calculate the distance between each sampling point of each dark ring and the center point of the Newton ring image, calculate the difference between the distances of each dark ring, screen out the maximum distance difference, and obtain the maximum distance difference of each dark ring; obtain the dark ring circularity of the Newton ring image according to the maximum distance difference of each dark ring, and determine whether to adjust the evaluation adjustment value according to the dark ring circularity; if it is determined to be adjusted, adjust the evaluation adjustment value according to the dark ring circularity to obtain a final evaluation value.
2. The Newton ring interference fringe quality real-time quantitative evaluation system according to claim 1, characterized in that: The primary evaluation module is configured to identify bright rings and dark rings in a Newton ring image and determine whether the dark rings are complete, including: If the dark ring is intact, the dark ring is considered complete, and the completeness is 1; If the dark ring is incomplete, the dark ring is determined to be incomplete, and the completeness of the dark ring is calculated.
3. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 2, characterized in that: The calculation of the completeness of the dark ring includes: The sum of the dark ring area and the incomplete area is calculated to obtain the complete area of the dark ring. The completeness of the dark ring is obtained according to the ratio of the dark ring area to the complete area of the dark ring.
4. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 3, characterized in that: The primary evaluation module is configured to perform a primary evaluation on the fringe quality of the Newton rings image according to the completeness of the dark rings, and obtain the primary evaluation value, including: Set the first completeness and second completeness, 1>first completeness>second completeness; If the completeness is 1, the primary evaluation value is the first evaluation value; If the completeness is less than 1 and greater than or equal to the first completeness, the primary evaluation value is the second evaluation value; If the integrity is less than the first integrity and greater than or equal to the second integrity, the primary evaluation value is the third evaluation value; If the completeness is less than the second completeness, the primary evaluation value is the fourth evaluation value; First evaluation value>Second evaluation value>Third evaluation value>Fourth evaluation value.
5. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 1, characterized in that: The evaluation and adjustment module is configured to calculate the mean brightness of the bright ring and the mean brightness of the dark ring according to the brightness of the sampling points, and calculate the contrast of the bright ring and the dark ring, including: Contrast = (mean brightness of bright ring - mean brightness of dark ring) / (mean brightness of bright ring + mean brightness of dark ring).
6. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 5, characterized in that: The evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and before obtaining the evaluation adjustment value, includes: Setting a minimum contrast value, and if the contrast is less than the minimum contrast value, determining that the primary evaluation value needs to be adjusted; If the contrast is greater than or equal to the minimum contrast value, it is determined that the primary evaluation value does not need to be adjusted, and the primary evaluation value is directly used as the evaluation adjustment value.
7. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 6, characterized in that: The evaluation adjustment module is configured to adjust the primary evaluation value according to the contrast, and when obtaining the evaluation adjustment value, includes: Setting a first contrast ratio, wherein the first contrast ratio is less than the minimum contrast ratio; If the contrast is less than the minimum contrast value and greater than or equal to the first contrast, adjusting the primary evaluation value by a first adjustment value; If the contrast is less than the first contrast, adjusting the primary evaluation value by a second adjustment value; The adjustment value range is 1>first adjustment value>second adjustment value, and the evaluation adjustment value is the product of the adjustment value and the primary evaluation value.
8. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 1, characterized in that: When the evaluation and decision module is configured to obtain the dark ring circularity of the Newton ring image according to the maximum value of the distance difference of each dark ring, it includes: Calculate the mean of the maximum difference values according to the maximum distance difference value of each dark ring; If the mean of the maximum values of the differences is 0, the dark ring circularity is 1; Setting a first difference and a second difference, wherein the first difference is smaller than the second difference; If the average of the maximum values of the difference values is greater than 0 and less than or equal to the first difference value, the dark ring roundness is the first roundness; If the maximum value of the difference is greater than the first difference and less than or equal to the second difference, the dark ring roundness is the second roundness; If the maximum difference is greater than the second difference, the dark ring circularity is the third circularity; 1>First roundness>Second roundness>Third roundness.
9. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 8, characterized in that: When the evaluation decision module is configured to determine whether to adjust the evaluation adjustment value according to the dark ring circularity, it includes: If the dark ring circularity is less than 1, it is determined that the evaluation adjustment value should be adjusted; If the dark ring circularity is 1, it is determined that the evaluation adjustment value is not adjusted.
10. The real-time quantitative evaluation system for Newton ring interference fringe quality according to claim 9, characterized in that: The evaluation decision module is configured to adjust the evaluation adjustment value according to the dark ring circularity to obtain the evaluation final value, including: If the dark ring roundness is the first roundness, adjusting the evaluation adjustment value by a first adjustment coefficient; If the dark ring circularity is the second circularity, adjusting the evaluation adjustment value by a second adjustment coefficient; If the dark ring circularity is the third circularity, adjusting the evaluation adjustment value by a third adjustment coefficient; The value range of the adjustment coefficient is 1>first adjustment coefficient>second adjustment coefficient>third adjustment coefficient; The final valuation value is the product of the valuation adjustment value and the adjustment coefficient.