Microlens defocus measurement method, system, device, equipment and storage medium

Abstract

The present invention discloses a method, system, device, equipment and storage medium for measuring the defocus amount of a microlens, and the method comprises: inserting a multi-point microlens lens on one side of the spherical surface of a simulated eye in the imaging system, and moving a focusing lens module in the imaging system, obtaining a simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and a shooting parameter of the simulated eye fundus image sequence; performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; associating the grid regionalized simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid area and the shooting parameters; performing matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point microlens lens. The present invention can improve the accuracy of the measured microlens defocus amount.

Description

Technical Field

[0001] The present invention relates to the field of optical technology, and in particular to a method, system, device, equipment and storage medium for measuring the defocus amount of a microlens. Background Art

[0002] Myopia is a common phenomenon among adolescents. The main reason for its formation is that the axial length of adolescents grows too fast, which causes the image of distant objects to be only in front of the retina, making it impossible to see distant objects clearly. Multi-point defocus frame glasses based on microlens arrays are one of the mainstream means of controlling the development of myopia. This multi-point defocus frame glasses can inhibit the rapid growth of the axial length. Experimental results show that the effect of axial length growth control is closely related to the defocus amount of the microlens. Therefore, accurately measuring the defocus amount of the microlens is of great value to myopia control.

[0003] Current methods for measuring the defocus of microlenses, such as moiré fringe deflection, have limited accuracy in detecting the defocus amount. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, system, device, equipment and storage medium for measuring the defocus amount of a microlens, aiming to solve the problem of limited accuracy of the defocus amount measured by the current method for measuring the defocus amount of a microlens.

[0005] To achieve the above object, the present invention provides a method for measuring the defocus amount of a microlens, which is applied to an imaging system and comprises:

[0006] Insert a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and move the focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences;

[0007] Performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence;

[0008] Associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters;

[0009] A matrix statistical operation is performed according to the association relationship to obtain the defocus value of the multi-point microlens lens.

[0010] Optionally, the step of associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameter comprises:

[0011] Establishing a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters;

[0012] The step of performing matrix statistical operation according to the association relationship to obtain the defocus amount of the multi-point microlens lens comprises:

[0013] Acquire the optimal refractive compensation value of each grid area based on the relationship curve;

[0014] Establishing a refractive compensation matrix based on the optimal refractive compensation values ​​of each grid area;

[0015] The refractive compensation matrix is ​​statistically analyzed to obtain the defocus value of the multi-point microlens lens.

[0016] Optionally, the step of performing statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens comprises:

[0017] Counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix to obtain a statistical curve;

[0018] Obtaining peak information of the statistical curve;

[0019] The defocus amount of the multi-point microlens lens is calculated based on the peak information.

[0020] Optionally, the peak information includes a first peak value and a second peak value, and the step of calculating the defocus amount of the multi-point microlens lens based on the peak information includes:

[0021] The absolute value of the difference between the refractive compensation value corresponding to the first peak value and the refractive compensation value corresponding to the second peak value is calculated to obtain the defocus amount of the multi-point microlens lens.

[0022] Optionally, the step of inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, moving a focusing lens module in the imaging system, and obtaining simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequences includes:

[0023] Adjusting the position of the focusing lens module and calibrating the zero point position of the refractive compensation;

[0024] The steps of inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, moving the focusing lens module in the imaging system, and obtaining simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequences include:

[0025] A multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system, and a focusing lens module in the imaging system is moved, and based on the refractive compensation zero point position, a simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequence are obtained.

[0026] Optionally, the present invention provides a microlens defocus measurement system, the microlens defocus measurement system comprising:

[0027] An imaging system, a multi-point microlens lens, wherein the multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system;

[0028] The imaging system is used to insert a multi-point microlens lens on one side of the spherical surface of a simulated eye in the imaging system, and move a focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences; perform grid regionalization processing on the simulated eye fundus image sequences corresponding to the different refractive compensation values ​​to obtain grid regionalized simulated eye fundus image sequences; associate the grid regionalized simulated eye fundus image sequences with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; perform matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point microlens lens.

[0029] Optionally, the microlens defocus measurement system:

[0030] The refractive value of the simulated eye in the imaging system is set based on the main lens power of the multi-point microlens lens;

[0031] And / or, the multi-point microlens lens includes spherical power information, or the multi-point microlens lens includes spherical power information and cylindrical power information.

[0032] The embodiment of the present invention further provides a microlens defocus measurement device, which is arranged in an imaging system and includes:

[0033] A data acquisition module, used for inserting a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences;

[0034] An image processing module, used for performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence;

[0035] A data processing module, used for associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters;

[0036] The statistical calculation module is used to perform matrix statistical operations according to the association relationship to obtain the defocus value of the multi-point microlens lens.

[0037] An embodiment of the present invention further proposes a device, comprising a memory, a processor, and a lens defocus measurement program stored in the memory and executable on the processor, wherein the lens defocus measurement program implements the microlens defocus measurement method as described above when executed by the processor.

[0038] An embodiment of the present invention further provides a computer-readable storage medium, on which a lens defocus measurement program is stored. When the lens defocus measurement program is executed by a processor, the microlens defocus measurement method as described above is implemented.

[0039] The microlens defocus measurement method, system, device, equipment and storage medium proposed in the embodiments of the present invention include inserting a multi-point microlens lens on one side of the spherical surface of a simulated eye in the imaging system, and moving a focusing lens module in the imaging system to obtain a simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequence; performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; associating the grid regionalized simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid area and the shooting parameters; and performing matrix statistical operations according to the association relationship to obtain the defocus of the multi-point microlens lens.

[0040] The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By using matrix statistics of these associations, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a functional module schematic diagram of a terminal device to which the microlens defocus measurement device of the present invention belongs;

[0042] Figure 2 Schematic diagram of a flow chart of an exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0043] Figure 3 Schematic diagram of the optical path of the microlens defocus measurement system of the present invention;

[0044] Figure 4 Schematic diagram of the multi-point micro-lens lens area in an embodiment of the present invention;

[0045] Figure 5 Schematic diagram of the division of the fundus image area of ​​a simulated eye in an embodiment of the present invention;

[0046] Figure 6 A schematic diagram of the relationship between the spatial position of the focusing lens module and the amount of refractive compensation;

[0047] Figure 7 It is a schematic diagram of the relationship between the spatial position of the mobile focusing lens module and the clarity of the fundus image of the simulated eye in an embodiment of the present invention;

[0048] Figure 8 It is a schematic diagram of the dynamic evolution of the clarity curves of different areas of the fundus image of a simulated eye before and after the multi-point microlens lens is inserted in an embodiment of the present invention;

[0049] Fig. 9 A schematic diagram of selecting five sub-areas in a simulated eye fundus image in an embodiment of the present invention;

[0050] Fig.10 Schematic diagram of the relationship between the clarity of area 1 and area 5 and the amount of refractive compensation;

[0051] Fig.11 Schematic diagram of the relationship between the clarity of area 2, area 3 and area 4 and the amount of refractive compensation;

[0052] Fig.12 Schematic diagram of grid regionalization processing of the fundus of a simulated eye in an embodiment of the present invention;

[0053] Fig.13 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0054] Fig.14 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0055] Fig.15 A schematic diagram of establishing a refractive compensation matrix based on the optimal refractive compensation values ​​of each grid area in an embodiment of the present invention;

[0056] Fig.16 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0057] Fig.17 A schematic diagram of a statistical curve obtained by counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix according to the present invention;

[0058] Fig.18 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0059] Fig.19 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0060] Fig. 20 1 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention;

[0061] Fig.21 It is a schematic diagram of the overall process of measuring the defocus amount of the lens of the present invention.

[0062] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0063] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0064] The main solution of the embodiment of the present invention is: insert a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and move the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence; grid regionalization processing is performed on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; the grid regionalized simulated eye fundus image sequence is associated with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; matrix statistical operations are performed according to the association relationship to obtain the defocus amount of the multi-point microlens lens. The embodiment of the present invention can divide the image into small areas by grid regionalization processing of the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid regionalized simulated eye fundus image sequence with the shooting parameters. By counting these correlations in a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained. Based on the hidden rules and correlations, the accuracy of the measured microlens defocus amount can be improved.

[0065] Technical terms involved in the embodiments of the present invention:

[0066] Refractive error: Refractive error refers to an abnormality in the eye's ability to refract light, which causes light to be unable to focus accurately on the retina, resulting in blurred or distorted vision. Common refractive errors include myopia, hyperopia, and astigmatism.

[0067] Simulated eye: A simulated eye refers to an experimental device or simulation model that simulates the human eyeball and its optical system. It is commonly used in fields such as ophthalmology, optical research, and eyeglass lens design and testing. The simulated eye can simulate parameters such as the shape of the eyeball, corneal curvature, and lens thickness, and is equipped with a lens or optical system that enables it to simulate the optical effects under different eye conditions. Through the use of the simulated eye, researchers and ophthalmic professionals can perform tasks such as eye optical performance evaluation, eyeglass power measurement, refractive reference, and eye surgery planning.

[0068] Macula: The macula is a specific part of the central area of ​​the retina of the human eye, located at the back of the eyeball. It is the area of ​​the retina with the highest perception of detail and brightness, and is responsible for the accurate perception and processing of visual details. The macula contains the highest resolution point of visual perception and is the area we rely on for daily activities, reading, and seeing distant objects clearly. In the center of the macula, there is a sunken area called the "fovea", which has the highest density of photoreceptor cells, called cones. Cones are very sensitive to color and detail, so the macula is essential for our normal visual function.

[0069] Defocus: Defocus refers to the distance between the focal point and the object plane (or image plane) in an optical system. In ophthalmology, defocus is often used to describe the defocus phenomenon in the refractive system of the eye.

[0070] Focusing lens: Focusing lens refers to an optical element located in the camera lens, which is used to adjust the focal length of the image so that the object being photographed can be clearly imaged on the camera's film or sensor. By adjusting the position or shape of the focusing lens, the degree of refraction of light can be changed, and the focus can be adjusted so that the object being photographed can be clearly displayed on the imaging plane.

[0071] Camera CCD: Camera CCD (Charge-Coupled Device) refers to an important component in a camera. It is a sensor used for photoelectric conversion, usually composed of a series of photosensitive elements, used to convert light signals into electrical signals. When light enters the camera through the lens and hits the CCD, the CCD will generate corresponding electrical signals based on information such as the intensity and color of the light, and finally form an image.

[0072] Refractive compensation zero position: The refractive compensation zero position refers to the reference position of the focusing lens when ensuring that the simulated eye fundus image is clearly imaged on the camera CCD during the focusing process. This zero position is determined through the calibration and debugging process. It represents the clearest position of the photographed fundus image on the camera imaging plane to achieve accurate imaging and observation of the fundus image. Adjusting the focusing lens according to this zero position can make the fundus image clearly visible and provide accurate refractive compensation.

[0073] Absolute conjugation: Absolute conjugation means that in an optical system, when an object point and its corresponding image point have the same optical path length, they are considered to be absolutely conjugated. In other words, the optical path lengths between the object point and the image point are exactly equal. In a camera, light passes from the subject through the lens and enters the CCD to form an image. By adjusting the position of the focusing lens, the degree of refraction of the light can be changed, so that the object establishes an absolutely conjugated relationship between the subject (retina) and the image (CCD).

[0074] Photometry: In the field of optics, photometry is a physical quantity used to indicate the refractive power or focal length of the human eye or lens.

[0075] Refractive compensation value: Refractive compensation value refers to adjusting the refractive value by using a lens so that the image can be imaged at different focal lengths in the CCD and the clarity function is recorded.

[0076] Studies have shown that the growth of the eye axis of the simulated eye is closely related to the defocus state of the peripheral retinal imaging. Hyperopic defocus in the peripheral retina can promote the growth of the eye axis and accelerate the development of myopia, while myopic defocus in the peripheral retina can inhibit the growth of the eye axis and delay the development of myopia.

[0077] Although traditional single-vision lenses can effectively correct the refractive error of the central retina of the simulated eye and ensure clear vision, they will promote hyperopic defocus in the periphery of the simulated eye, thereby further aggravating the development of myopia.

[0078] Multi-point defocus frame glasses based on microlens arrays are one of the current mainstream means of controlling the development of myopia. They have the advantages of low price, simple fitting process, wide application range, application to high-light-density population, and low eye hygiene requirements. Its main working principle is to introduce a microlens array on the front surface of the lens while providing compensation for the macular refractive error of the retinal base center. These microlens arrays can provide additional refractive power, that is, defocus, to ensure that part of the light around the retina converges in advance, so that this part of the hyperopic defocus is transformed into myopic defocus, thereby inhibiting the excessive growth of the eye axis. At the same time, the light between the microlenses is still the macular refractive error compensation light, which ensures the comfort of the simulated eye when looking at objects through this area.

[0079] The experimental results show that the effect of axial length control is closely related to the defocus amount of the microlens. Therefore, how to accurately detect the defocus amount of the lens microlens is of great value for myopia control.

[0080] The embodiments of the present invention take into account that currently there are methods for measuring the defocus amount of microlenses, for example, commercial equipment for detecting microlenses on the surface of a lens includes the NIMO microlens optical measuring instrument and the SUPER MAPPER super topographer, which respectively utilize the Phase Shifting Schlieren method and the Moore fringe deflection method to detect the defocus amount of the microlenses on the surface of the lens, but the accuracy of the detected defocus amount is limited.

[0081] Therefore, the embodiment of the present invention proposes a solution. By grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, the image can be divided into small areas so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these associations through a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations.

[0082] Specifically, refer to Figure 1 , Figure 1 Schematic diagram of the functional modules of the terminal device to which the microlens defocus measurement device of the present invention belongs. The microlens defocus measurement device can be a device that is independent of the device and can perform data processing, and it can be carried on the device in the form of hardware or software. The device can be a smart mobile terminal with data processing function such as a mobile phone or a tablet computer, and can also be a fixed device or server with data processing function.

[0083] In this embodiment, the device to which the microlens defocus measurement apparatus belongs includes at least an output module 110 , a processor 120 , a memory 130 and a communication module 140 .

[0084] The memory 130 stores an operating system and a lens defocus measurement program; the output module 110 may be a display screen, etc. The communication module 140 may include a WIFI module and a Bluetooth module, etc., and communicates with an external device or server through the communication module 140.

[0085] When the lens defocus measurement program in the memory 130 is executed by the processor, the following steps are implemented:

[0086] Insert a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and move the focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences;

[0087] Performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence;

[0088] Associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters;

[0089] A matrix statistical operation is performed according to the association relationship to obtain the defocus value of the multi-point microlens lens.

[0090] Furthermore, when the lens defocus measurement program in the memory 130 is executed by the processor, the following steps are also implemented:

[0091] Establishing a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters;

[0092] Acquire the optimal refractive compensation value of each grid area based on the relationship curve;

[0093] Establishing a refractive compensation matrix based on the optimal refractive compensation values ​​of each grid area;

[0094] The refractive compensation matrix is ​​statistically analyzed to obtain the defocus value of the multi-point microlens lens.

[0095] Furthermore, when the lens defocus measurement program in the memory 130 is executed by the processor, the following steps are also implemented:

[0096] Counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix to obtain a statistical curve;

[0097] Obtaining peak information of the statistical curve;

[0098] The defocus amount of the multi-point microlens lens is calculated based on the peak information.

[0099] Furthermore, when the lens defocus measurement program in the memory 130 is executed by the processor, the following steps are also implemented:

[0100] The absolute value of the difference between the refractive compensation value corresponding to the first peak value and the refractive compensation value corresponding to the second peak value is calculated to obtain the defocus amount of the multi-point microlens lens.

[0101] Furthermore, when the lens defocus measurement program in the memory 130 is executed by the processor, the following steps are also implemented:

[0102] Adjusting the position of the focusing lens module and calibrating the zero point position of the refractive compensation;

[0103] A multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system, and a focusing lens module in the imaging system is moved, and based on the refractive compensation zero point position, a simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequence are obtained.

[0104] This embodiment adopts the above scheme, specifically inserts a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moves the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence; the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​is grid-regionalized to obtain a grid-regionalized simulated eye fundus image sequence; the grid-regionalized simulated eye fundus image sequence is associated with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; matrix statistical operations are performed according to the association relationship to obtain the defocus amount of the multi-point microlens lens. The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these correlations in a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained. Based on the hidden rules and correlations, the accuracy of the measured microlens defocus amount can be improved.

[0105] Based on the above device architecture but not limited to the above architecture, an embodiment of the method of the present invention is proposed.

[0106] The execution subject of the method of this embodiment may be a microlens defocus measurement device, which may be a device independent of the device and capable of data processing, and may be carried on the device in the form of hardware or software.

[0107] Reference Figure 2 , Figure 2 1 is a flow chart of an exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention. The method for measuring the defocus amount of a microlens comprises:

[0108] Step S20, inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence.

[0109] Specifically, as an implementation, the simulated eye in the imaging system can be a long simulated eye.

[0110] In order to better explain the device and architecture used in this solution, a microlens defocus measurement system can be introduced, and this implementation method is applied to the microlens defocus measurement system.

[0111] Among them, the micro-lens defocus measurement system includes an imaging system and a multi-point micro-lens.

[0112] Among them, the imaging system includes: an illumination point light source, a collimating lens, a long strip artificial eye, an objective lens, a focusing lens module, an imaging lens, and a camera;

[0113] Among them, the multi-point micro-lens is inserted on the spherical surface side of the artificial eye in the imaging system;

[0114] Among them, the imaging system is used to insert a multi-point micro-lens on the spherical surface side of the artificial eye in the imaging system, and move the focusing lens module in the imaging system to obtain a sequence of simulated eye fundus images corresponding to different refractive compensation values and the shooting parameters of the sequence of simulated eye fundus images under the combined action of the multi-point micro-lens and the focusing lens module; perform grid regionalization processing on the sequence of simulated eye fundus images corresponding to different refractive compensation values to obtain a grid regionalized sequence of simulated eye fundus images; associate the grid regionalized sequence of simulated eye fundus images with the shooting parameters to obtain the association relationship between each grid region and the shooting parameters; perform matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point micro-lens.

[0115] Refer to Figure 3 , Figure 3 which is the optical path schematic diagram of the micro-lens defocus measurement system of the present invention.

[0116] Among them, the illumination point light source 1 emits divergent light, the collimating lens 2 captures and collimates the divergent light, the collimated divergent light irradiates on the rear surface of the long strip artificial eye 3, the multi-point micro-lens 4 is placed close to the long strip artificial eye 3, and the micro-lens to be measured is placed at the optical axis center. Subsequently, the objective lens 5, the focusing lens module 6, the imaging lens 7, and the camera 8 are placed in sequence.

[0117] Among them, the positions of the rear surface of the long strip artificial eye 3 and the camera 8 are respectively at the object plane and the image plane of the imaging system, and the imaging system is used to image the frosted plane of the long strip artificial eye 3 on the CCD of the camera 8.

[0118] Specifically, as an implementation manner, the long strip artificial eye can be made of high-quality optical glass, with a designed wavelength of 546.07 nm, the front surface is a polished spherical surface with a radius of curvature of 8 mm, the middle part is a long strip cylinder, and the rear surface of the cylinder is a frosted plane.

[0119] Specifically, as another implementation manner, the length L of the cylinder of the long strip artificial eye can satisfy the relationship: D = 1000×[n / L - (n - 1) / R].

[0120] Where D is the diopter of the simulated eye, n is the refractive index of the simulated eye glass medium, and R is the radius of curvature of the front spherical surface, usually 8mm. When testing microlens lenses, a long simulated eye with a diopter of 0D can be selected, and its length L is equal to nR / (n-1).

[0121] Reference Figure 4 , Figure 4 Schematic diagram of the multi-point microlens lens area in an embodiment of the present invention.

[0122] Among them, the black area 41 represents the microlens area, and the other white area 42 represents the main lens area. The refractive value of the main lens area is set by simulating the refractive error of the human eye. The refractive value of the microlens area is an additional refractive value superimposed on the main lens area. The refractive value is defined as the defocus amount of the multi-point microlens lens, and the defocus amount is numerically equal to the difference between the refractive values ​​of the microlens area and the main lens area.

[0123] Reference Figure 5 , Figure 5 Schematic diagram of the division of fundus image regions of a simulated eye in an embodiment of the present invention.

[0124] Among them, when the multi-point microlens lens is inserted into the detection light path, the white circular dotted line in the figure represents the microlens area, and the area between the white circular dotted lines represents the main lens area.

[0125] Step S20, inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence.

[0126] Among them, after inserting the multi-point microlens lens, the moving focusing lens module can simulate different refractive compensation values.

[0127] The simulated eye fundus image sequence is obtained by taking pictures with the camera CCD.

[0128] The shooting parameters of the simulated eye fundus image sequence include clarity, shooting time and position information.

[0129] Among them, when inserting a multi-point microlens lens, moving the focusing lens module, and simulating different refractive compensation values, the simulated eye fundus images under different refractive compensation values ​​and the shooting parameters at this time are recorded to obtain the simulated eye fundus image sequence and the shooting parameters of the simulated eye fundus image sequence.

[0130] In the process of the focusing lens module moving, the displacement of the focusing lens module is linearly related to the refractive compensation value, such as Figure 6 As shown, Figure 6This is a schematic diagram of the relationship between the spatial position of the focusing lens module and the amount of refractive compensation.

[0131] Among them, the functional relationship D=f (z) between the refractive compensation amount D and the spatial position z of the focusing lens can be obtained according to the optical design function.

[0132] Then, the actual refractive compensation value can be obtained by inverse calculation by recording the displacement of the focusing lens module.

[0133] like Figure 7 As shown, Figure 7 The figure is a schematic diagram of the curve relationship between the spatial position of the mobile focusing lens module and the clarity of the fundus image of the simulated eye in the embodiment of the present invention.

[0134] Among them, as an implementation method, after the mobile focusing lens module obtains the simulated eye fundus image sequence and the shooting parameters of the simulated eye fundus image sequence, the clarity of the simulated eye fundus image in the simulated eye fundus image sequence can be evaluated, and a curve relationship can be established based on the clarity of the simulated eye fundus image and the spatial position of the focusing lens module at this time.

[0135] Reference Figure 8 , Figure 8 It is a schematic diagram of the dynamic evolution of the clarity curves of different areas of the fundus image of a simulated eye before and after the insertion of the multi-point microlens lens in an embodiment of the present invention.

[0136] Among them, when the multi-point microlens lens is inserted into the detection light path, due to the deviation in the luminosity of the two areas of the multi-point microlens lens, when the refractive compensation makes the simulated eye fundus image clear in the main lens area, the image in the microlens area will be blurred, and when the refractive compensation makes the simulated eye fundus image clear in the microlens area, the image in the main lens area will be blurred. The corresponding refractive compensation values ​​when the clarity of the two areas is the maximum are not the same.

[0137] Among them, when the multi-point microlens lens is not inserted into the detection optical path, the clarity of the fundus image corresponding to the refractive compensation value of 0D is the largest, and the increase or decrease of the refractive compensation will cause a decrease in clarity. When the multi-point microlens lens is inserted into the detection optical path, due to the refractive difference between the main lens and the microlens area of ​​the multi-point microlens lens, the changes in the clarity curves at each position are also different. The refractive compensation values ​​corresponding to the maximum values ​​of the clarity curves of the two areas will shift, and the optimal refractive compensation amount D1 of the main lens area is less than the optimal refractive compensation amount D2 of the microlens area.

[0138] Reference Fig. 9 , Fig. 9 The figure is a schematic diagram of selecting five sub-areas in a fundus image of a simulated eye in an embodiment of the present invention.

[0139] Among them, in the selection Fig. 9After the five sub-areas in the simulated eye fundus image shown, a multi-point microlens lens is inserted and the focusing lens module is moved to obtain a simulated eye fundus image sequence under different refractive compensation values ​​and shooting parameters of the simulated eye fundus image sequence.

[0140] Then, based on the simulated eye fundus image sequence under different refractive compensation values ​​and the shooting parameters of the simulated eye fundus image sequence, the clarity curves of the five sub-areas under different refractive compensation values ​​are drawn.

[0141] like Fig.10 As shown, Fig.10 Schematic diagram of the relationship between the clarity of area 1 and area 5 and the amount of refractive compensation.

[0142] Among them, area 1 and area 5 are in the main lens area, and the refractive compensation values ​​corresponding to the maximum values ​​of the two curves in area 1 and area 5 are close to zero, indicating that the refractive values ​​of the multi-point microlens lens in areas 1 and 5 are close to zero.

[0143] like Fig.11 As shown, Fig.11 Schematic diagram of the relationship between the clarity of area 2, area 3 and area 4 and the amount of refractive compensation.

[0144] Among them, region 2, region 3 and region 4 are in the microlens region, region 2 and region 4 are at the edge of the microlens, and region 3 is at the center of the microlens.

[0145] Among them, the optimal refractive compensation values ​​corresponding to the maximum values ​​of the clarity curves of regions 2 and 4 are 3.05D and 2.98D respectively, which are lower than 3.42D of region 3. This indicates that during the lens manufacturing process, the central roundness of the microlens is higher than that of the edge of the microlens, and the uniformity of the microlens is not good.

[0146] Step S30 , performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence.

[0147] In order to improve the measurement accuracy of the microlens defocus amount, it is necessary to further grid the simulated eye fundus image sequence.

[0148] The denser the grid division, the higher the measurement accuracy of the microlens defocus amount.

[0149] Specifically, as an implementation, the simulated eye fundus image sequence may be further grid-divided according to a preset grid size.

[0150] The grid size can be set according to the actual measurement requirements, computational complexity and other aspects.

[0151] like Fig.12 As shown, Fig.12 Schematic diagram of grid regionalization processing of the fundus of a simulated eye in an embodiment of the present invention.

[0152] Step S40 , associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters.

[0153] Specifically, as an implementation, the grid-regional simulated eye fundus image sequence and the clarity in the shooting parameters can be associated to obtain a relationship curve between the clarity and the refractive compensation value of each grid region under different refractive compensation values.

[0154] Step S50, performing matrix statistical operation according to the association relationship to obtain the defocus value of the multi-point microlens lens.

[0155] As an implementation method, the optimal refractive compensation value of each grid area may be obtained based on a relationship curve between clarity and refractive compensation value under different refractive compensation values.

[0156] The optimal refractive compensation value of each grid area refers to the refractive compensation value corresponding to the maximum value point of clarity.

[0157] Then, a refractive compensation matrix is ​​established based on the optimal refractive compensation value of each grid area.

[0158] Finally, the refractive compensation matrix is ​​statistically calculated to obtain the defocus value of the multi-point microlens lens.

[0159] This embodiment adopts the above scheme, inserts a multi-point micro-lens lens on one side of the spherical surface of the simulated eye in the imaging system, and moves the focusing lens module in the imaging system, obtains the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point micro-lens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence; performs grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; associates the grid regionalized simulated eye fundus image sequence with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; performs matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point micro-lens lens. The embodiment of the present invention can divide the image into small areas by performing grid regionalization processing on the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid regionalized simulated eye fundus image sequence with the shooting parameters. By counting these correlations in a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained. Based on the hidden rules and correlations, the accuracy of the measured microlens defocus amount can be improved.

[0160] Reference Fig.13 , Fig.13 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0161] Based on the above Figure 2 In the embodiment shown, the step S40 of associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain the association relationship between each grid region and the shooting parameter includes:

[0162] Step S41 : establishing a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters.

[0163] As an implementation method, first, the clarity of each grid area in the simulated eye fundus sequence is quantified and represented by a digital index.

[0164] Then, a relationship curve between the clarity and the refractive compensation value of each grid area can be established with the refractive compensation value as the horizontal coordinate and the clarity as the vertical coordinate.

[0165] Reference Fig.14 , Fig.14 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0166] Based on the above Figure 2In the embodiment shown, the step S50 of performing matrix statistical operation according to the association relationship to obtain the defocus amount of the multi-point microlens lens includes:

[0167] Step S51, obtaining the best refractive compensation value of each grid area based on the relationship curve.

[0168] The optimal refractive compensation value refers to the refractive compensation value corresponding to the maximum value point of clarity in the relationship curve.

[0169] Each grid area can obtain a corresponding optimal refractive compensation value.

[0170] Step S52: establishing a refractive compensation matrix based on the optimal refractive compensation values ​​of each grid area.

[0171] The optimal refractive compensation values ​​corresponding to each grid area are combined into a refractive compensation matrix D(x, y), such as Fig.15 As shown, Fig.15 It is a schematic diagram of establishing a refractive compensation matrix based on the optimal refractive compensation value of each grid area in an embodiment of the present invention.

[0172] The values ​​of different elements of the matrix represent the refractive values ​​corresponding to different positions of the lens.

[0173] Step S53, performing statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens.

[0174] Specifically, as an implementation mode, firstly, the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix is ​​counted to obtain a statistical curve.

[0175] Then, the peak value information of the statistical curve is obtained.

[0176] Finally, the defocus amount of the multi-point microlens lens is calculated based on the peak information.

[0177] The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these associations through a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations. Among them, the embodiment of the present invention obtains the optimal refractive compensation value of each grid area based on the relationship curve between the clarity and the refractive compensation value of each grid area, and establishes a refractive compensation matrix, which can comprehensively consider the defocus condition of each grid area in the fundus image, thereby obtaining more accurate defocus data.

[0178] Reference Fig.16 , Fig.16 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0179] Based on the above Fig.13 and Fig.14 In the embodiment shown, the step S53 of performing statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens includes:

[0180] Step S531, counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix to obtain a statistical curve.

[0181] Specifically, as an implementation manner, a statistical curve may be drawn with different optimal refractive compensation values ​​as the horizontal coordinate and the number of occurrences of different optimal refractive compensation values ​​in the matrix as the vertical coordinate.

[0182] The higher the curve value is, the more areas of the lens with this refractive compensation value appear, and the larger the area of ​​the lens with this refractive compensation value is.

[0183] Step S532, obtaining peak information of the statistical curve.

[0184] Usually, the statistical curve has two peaks. Fig.17 As shown, Fig.17 This is a schematic diagram of a statistical curve obtained by counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix in the present invention.

[0185] Step S533, calculating the defocus amount of the multi-point microlens lens based on the peak information.

[0186] Specifically, as an implementation, the absolute value of the difference between the refractive compensation value corresponding to the first peak and the refractive compensation value corresponding to the second peak may be calculated to obtain the defocus amount of the multi-point microlens lens.

[0187] The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these associations by matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations. Among them, the embodiment of the present invention obtains the optimal refractive compensation value of each grid area based on the relationship curve between the clarity and refractive compensation value of each grid area, and establishes a refractive compensation matrix, which can comprehensively consider the defocus of each grid area in the fundus image, thereby obtaining more accurate defocus data. Among them, the embodiment of the present invention obtains the distribution of different refractive compensation values ​​in the fundus image by counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix. Then, peak information is obtained through the distribution of different refractive compensation values ​​in the fundus image. These peak information are the most commonly occurring values ​​in the distribution of refractive compensation values, and these peak information can be used as indicators of the degree of defocus. Therefore, calculating the defocus amount based on the peak information can obtain accurate defocus amount data.

[0188] Reference Fig.18 , Fig.18 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0189] Based on the above Fig.16 In the embodiment shown, the peak information includes a first peak value and a second peak value, and the step S533 of calculating the defocus amount of the multi-point microlens lens based on the peak information includes:

[0190] Step S5331, calculating the absolute value of the difference between the refractive compensation value corresponding to the first peak value and the refractive compensation value corresponding to the second peak value, and obtaining the defocus amount of the multi-point microlens lens.

[0191] Among them, the statistical curve has two peaks, corresponding to the refractive compensation values ​​of D1 and D2 respectively, and the defocus amount of the multi-point microlens lens ΔD=|D2-D1|.

[0192] like Fig.17 As shown, Fig.17 This is a schematic diagram of a statistical curve obtained by counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix in the present invention.

[0193] Among them, the refractive compensation value corresponding to the peak on the left is -0.01D, which means that the refractive compensation value of the main lens area is -0.01D, and also represents the basic brightness of the multi-point microlens lens defocus lens.

[0194] Among them, the refractive compensation value corresponding to the peak on the right is 3.55D, which means that the refractive compensation value of the microlens area of ​​the multi-point microlens lens is 3.55D, and the defocus amount of the microlens of the lens is 3.55D-(-0.01D)=3.56D.

[0195] Among them, the wider the widths of the two peaks of the statistical curve, the worse the spherical control of the surface morphology during the microlens manufacturing process, and the more uneven the refractive power distribution in the microlens area.

[0196] The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these associations by matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations. Among them, the embodiment of the present invention obtains the optimal refractive compensation value of each grid area based on the relationship curve between the clarity and refractive compensation value of each grid area, and establishes a refractive compensation matrix, which can comprehensively consider the defocus of each grid area in the fundus image, thereby obtaining more accurate defocus data. Among them, the embodiment of the present invention obtains the distribution of different refractive compensation values ​​in the fundus image by counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix. Then, the peak information is obtained through the distribution of different refractive compensation values ​​in the fundus image. These peak information are the most frequently occurring values ​​in the distribution of refractive compensation values, and these peak information can be used as an indicator of the degree of defocus. Therefore, the defocus amount can be calculated based on the peak information to obtain accurate defocus amount data. Furthermore, the embodiment of the present invention obtains the defocus amount of the multi-point microlens lens by calculating the absolute value of the difference between the refractive compensation value corresponding to the first peak and the refractive compensation value corresponding to the second peak. Compared with other complex calculation methods, this method can measure the defocus amount of the multi-point microlens lens more concisely, efficiently, quickly and accurately.

[0197] Reference Fig.19 , Fig.19 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0198] Based on the above Figure 2In the embodiment shown, the step S20, before inserting a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system and moving the focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequences, comprises:

[0199] Step S10, adjusting the position of the focusing lens module to calibrate the zero point position of the refractive compensation.

[0200] Among them, as an implementation method, after the long strip of simulated posterior surface fundus with a refractive value of 0D is illuminated, the light from any point in the central area of ​​the frosted plane passes through the objective lens, the focusing lens module and the imaging lens, and then the position of the focusing lens module is adjusted. If and only if any point of the long strip of simulated posterior surface fundus is absolutely conjugate with the corresponding point on the camera CCD, the image of the long strip of simulated posterior surface fundus position will be clearly presented on the camera CCD. At this time, the corresponding refractive value of the test focusing lens module is exactly equal to the refractive value of the long strip of simulated eye fundus position, and this position is calibrated as the zero point of refractive compensation, that is, the refractive compensation value is zero.

[0201] Reference Fig. 20 , Fig. 20 FIG. 4 is a flow chart of another exemplary embodiment of a method for measuring the defocus amount of a microlens according to the present invention.

[0202] Based on the above Figure 2 In the embodiment shown, the step S20, inserting a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, obtaining the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence include:

[0203] Step S21, inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, obtaining the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence based on the refractive compensation zero point position.

[0204] Among them, the forward and backward movement of the focusing lens module will introduce positive or negative refractive compensation to the system, and the different refractive compensation values ​​when moving the focusing lens module can be calculated based on the refractive compensation zero point position.

[0205] The clarity change curves of the simulated eye fundus image sequences with different refractive compensation values ​​are plotted, and the maximum value of the image clarity corresponds to a refractive compensation value of zero.

[0206] Among them, the forward and backward movement of the focusing lens module will cause the long strip of simulated posterior surface fundus to deviate from the conjugate position relationship with the camera CCD, resulting in a decrease in the image clarity of the long strip of simulated posterior surface fundus. By recording the clarity change curves of fundus image sequences with different focuses, it can be found that the maximum value of image clarity corresponds to a refractive compensation value of zero. When a multi-point microlens lens is placed, the refraction introduced by the microlens area and the main lens area will destroy the original conjugate imaging relationship between the long strip of simulated posterior surface fundus and the camera CCD, resulting in blurring of the image of the long strip of simulated posterior surface fundus on the camera CCD. When the focusing lens module is moving for refractive compensation, recording the simulated eye fundus images at different refractive compensation moments will find that the fundus image will change from a blurred image to a clear image and then to a blurred image. Due to the existence of the microlens defocus amount, that is, there is a deviation in the refraction introduced by the microlens area and the main lens area, the microlens area and the main lens area will form clear images in sequence at different refraction compensation moments, and the refraction compensation values ​​corresponding to the maximum values ​​of the clarity curves of the microlens area and the main lens area are not the same, and the refraction compensation values ​​corresponding to the maximum values ​​of the clarity curves of the microlens area and the main lens area are defined as the optimal refraction compensation value, which is numerically equal to the refraction of the corresponding area of ​​the multi-point microlens lens.

[0207] The embodiment of the present invention can divide the image into small areas by grid regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid regionalized simulated eye fundus image sequence with the shooting parameters. By statistically analyzing these associations by matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations. Among them, the embodiment of the present invention can ensure that accurate fundus images are obtained under different refractive compensation conditions by calibrating the refractive compensation zero point position, and based on the calibrated refractive compensation zero point position, the simulated eye fundus image sequence is collected according to different refractive compensation values, thereby improving the accuracy and reliability of obtaining the simulated eye fundus image sequence.

[0208] Reference Fig.21 , Fig.21 It is a schematic diagram of the overall process of measuring the defocus amount of the lens of the present invention.

[0209] Step S1, adjusting the focusing lens module to ensure that the fundus image of the simulated eye is clearly imaged on the camera CCD and calibrating the zero point position of the refractive compensation.

[0210] Step S2, inserting a multi-point microlens lens to obtain simulated eye fundus image information and shooting parameters under different refractive compensation amounts, wherein the shooting parameters include clarity, shooting time and position information, etc., to obtain multiple fundus image sequences.

[0211] Step S3, processing the fundus image into grid regions, and establishing the relationship between the clarity of the simulated eye fundus image and the refractive compensation value in each grid region.

[0212] Step S4, calculating the optimal refractive compensation value of the simulated eye fundus image in different grid sub-areas according to the maximum value of the clarity, and establishing a refractive compensation matrix.

[0213] Step S5, statistically processing the refractive compensation matrix to obtain the defocus amount of the lens microlens.

[0214] The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By using matrix statistics of these associations, the hidden rules and correlations between each grid area and the shooting parameters can be obtained, and the accuracy of the measured microlens defocus amount can be improved based on the hidden rules and correlations.

[0215] In addition, the embodiment of the present application further provides a microlens defocus measurement system, the microlens defocus measurement system comprising:

[0216] An imaging system, a multi-point microlens lens, wherein the multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system;

[0217] The imaging system is used to insert a multi-point microlens lens on one side of the spherical surface of a simulated eye in the imaging system, and move a focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences; perform grid regionalization processing on the simulated eye fundus image sequences corresponding to the different refractive compensation values ​​to obtain grid regionalized simulated eye fundus image sequences; associate the grid regionalized simulated eye fundus image sequences with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; perform matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point microlens lens.

[0218] Among them, as an implementation method, the refractive value of the long simulated eye can be 0D, and can also be set based on the main lens brightness of the multi-point microlens lens.

[0219] Among them, when the refractive value of the long simulated eye is close to the brightness of the main lens of the lens, the range of refractive compensation can be effectively reduced and the detection efficiency can be improved.

[0220] Furthermore, when the refractive value of the long simulated eye is similar to the luminosity of the main lens of the lens, the microlens defocus amount can still be accurately measured by the microlens defocus amount measuring method of the present invention.

[0221] Among them, as an implementation method, if there is only spherical power information on the multi-point microlens lens to be measured, the numerical value of each element in the obtained refractive compensation matrix is ​​equal to the spherical power of the multi-point microlens lens at different positions. At this time, the microlens defocus amount can still be accurately measured by the difference between the refractive compensation values ​​corresponding to the double peaks of the calculated statistical curve in the microlens defocus amount measurement method of the present invention.

[0222] Among them, as another implementation method, if the multi-point microlens lens to be measured has not only spherical power information but also cylindrical power information, then the numerical value of each element in the obtained refractive compensation matrix is ​​equal to the equivalent spherical power of the lens at different positions. At this time, the microlens defocus amount can still be accurately measured by the difference between the refractive compensation values ​​corresponding to the double peaks of the calculated statistical curve in the microlens defocus amount measurement method of the present invention.

[0223] In addition, the embodiment of the present application further provides a microlens defocus amount measuring device, which is arranged in an imaging system, and the microlens defocus amount measuring device includes:

[0224] A data acquisition module, used for inserting a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences;

[0225] An image processing module, used for performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence;

[0226] A data processing module, used for associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters;

[0227] The statistical calculation module is used to perform matrix statistical operations according to the association relationship to obtain the defocus value of the multi-point microlens lens.

[0228] For the principle and implementation process of the lens defocus measurement implemented in this embodiment, please refer to the above embodiments and will not be described in detail here.

[0229] In addition, an embodiment of the present application also proposes a device, which includes a memory, a processor, and a lens defocus measurement program stored in the memory and executable on the processor. When the lens defocus measurement program is executed by the processor, the steps of the microlens defocus measurement method as described above are implemented.

[0230] Since the lens defocus measurement program adopts all the technical solutions of all the aforementioned embodiments when executed by the processor, it has at least all the beneficial effects brought by all the technical solutions of all the aforementioned embodiments, which will not be described one by one here.

[0231] In addition, an embodiment of the present application further proposes a computer-readable storage medium, on which a lens defocus measurement program is stored. When the lens defocus measurement program is executed by a processor, the steps of the microlens defocus measurement method as described above are implemented.

[0232] Since the lens defocus measurement program adopts all the technical solutions of all the aforementioned embodiments when executed by the processor, it has at least all the beneficial effects brought by all the technical solutions of all the aforementioned embodiments, which will not be described one by one here.

[0233] This embodiment adopts the above scheme, specifically inserts a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moves the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence; the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​is grid-regionalized to obtain a grid-regionalized simulated eye fundus image sequence; the grid-regionalized simulated eye fundus image sequence is associated with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; matrix statistical operations are performed according to the association relationship to obtain the defocus amount of the multi-point microlens lens. The embodiment of the present invention can divide the image into small areas by grid-regionalizing the simulated eye fundus image sequence under different refractive compensation values, so as to further accurately analyze each area. In addition, the embodiment of the present invention establishes the relationship between each grid area and the shooting parameters by associating the grid-regionalized simulated eye fundus image sequence with the shooting parameters. By counting these correlations in a matrix, the hidden rules and correlations between each grid area and the shooting parameters can be obtained. Based on the hidden rules and correlations, the accuracy of the measured microlens defocus amount can be improved.

[0234] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or method. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or method including the element.

[0235] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0236] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to execute the method of each embodiment of the present invention.

[0237] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for measuring the defocus amount of a microlens, It is characterized in that The method is applied to an imaging system, and the method comprises the following steps: Insert a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and move the focusing lens module in the imaging system to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences; Performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; Associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters, including: Establishing a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters; Performing matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point microlens lens includes: Acquire the optimal refractive compensation value of each grid area based on the relationship curve; Establishing a refractive compensation matrix based on the optimal refractive compensation values ​​of each grid area; The refractive compensation matrix is ​​statistically analyzed to obtain the defocus value of the multi-point microlens lens.

2. The method according to claim 1, It is characterized in that The step of performing statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens comprises: Counting the number of occurrences of different optimal refractive compensation values ​​in the refractive compensation matrix to obtain a statistical curve; Obtaining peak value information of the statistical curve; The defocus amount of the multi-point microlens lens is calculated based on the peak information.

3. The method according to claim 2, It is characterized in that The peak information includes a first peak value and a second peak value, and the step of calculating the defocus amount of the multi-point microlens lens based on the peak information includes: The absolute value of the difference between the refractive compensation value corresponding to the first peak value and the refractive compensation value corresponding to the second peak value is calculated to obtain the defocus amount of the multi-point microlens lens.

4. The method according to claim 1, It is characterized in that Before the step of inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, and obtaining simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequences, the step also includes: Adjusting the position of the focusing lens module and calibrating the zero point position of the refractive compensation; The steps of inserting a multi-point microlens lens into one side of the spherical surface of the simulated eye in the imaging system, moving the focusing lens module in the imaging system, and obtaining simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequences include: A multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system, and a focusing lens module in the imaging system is moved, and based on the refractive compensation zero point position, a simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequence are obtained.

5. A microlens defocus measurement system, It is characterized in that The microlens defocus measurement system comprises: An imaging system, a multi-point microlens lens, wherein the multi-point microlens lens is inserted into one side of the spherical surface of the simulated eye in the imaging system; The imaging system is used to insert a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and move the focusing lens module in the imaging system to obtain the simulated eye fundus image sequence corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and the shooting parameters of the simulated eye fundus image sequence; perform grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; associate the grid regionalized simulated eye fundus image sequence with the shooting parameters to obtain the association relationship between each grid area and the shooting parameters; perform matrix statistical operation according to the association relationship to obtain the defocus amount of the multi-point microlens lens; The imaging system is also used to establish a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters; The imaging system is also used to obtain the best refractive compensation value of each grid area based on the relationship curve; establish a refractive compensation matrix based on the best refractive compensation value of each grid area; and perform statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens.

6. The microlens defocus measurement system according to claim 5, Features: The refractive value of the simulated eye in the imaging system is set based on the main lens power of the multi-point microlens lens; and / or, The multi-point microlens lens includes spherical power information, or the multi-point microlens lens includes spherical power information and cylindrical power information.

7. A microlens defocus measurement device, It is characterized in that The device is arranged in an imaging system, and comprises: A data acquisition module, used for inserting a multi-point microlens lens on one side of the spherical surface of the simulated eye in the imaging system, and moving the focusing lens module in the imaging system, to obtain simulated eye fundus image sequences corresponding to different refractive compensation values ​​under the joint action of the multi-point microlens lens and the focusing lens module and shooting parameters of the simulated eye fundus image sequences; An image processing module, used for performing grid regionalization processing on the simulated eye fundus image sequence corresponding to the different refractive compensation values ​​to obtain a grid regionalized simulated eye fundus image sequence; A data processing module, used for associating the grid-regioned simulated eye fundus image sequence with the shooting parameters to obtain an association relationship between each grid region and the shooting parameters; The data processing module is also used to establish a relationship curve between the clarity and the refractive compensation value of each grid area in the grid-regionalized simulated eye fundus image sequence based on the shooting parameters; A statistical calculation module, used for performing matrix statistical operations according to the association relationship to obtain the defocus amount of the multi-point microlens lens; The statistical calculation module is also used to obtain the best refractive compensation value of each grid area based on the relationship curve; establish a refractive compensation matrix based on the best refractive compensation value of each grid area; and perform statistics on the refractive compensation matrix to obtain the defocus amount of the multi-point microlens lens.

8. A microlens defocus measurement device, It is characterized in that The microlens defocus amount measuring device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the microlens defocus amount measuring method according to any one of claims 1 to 4 is implemented.

9. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the microlens defocus amount measuring method according to any one of claims 1 to 4 is implemented.

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