Measurement Method for Fundus Image, Terminal Device, and Computer-Readable Storage Medium

Abstract

The present application discloses a method for measuring fundus images, a terminal device, and a computer-readable storage medium. The method includes: obtaining the position of the focusing lens corresponding to the detection process, as well as the fundus images and refractive compensation amounts corresponding to each of the positions of the focusing lens; dividing the fundus images into grids, and determining the clarity corresponding to each direction within each grid sub-region; and calculating the spherical power, cylindrical power, and axis position information of each of the grid sub-regions according to the clarity, the position of the focusing lens, and the refractive compensation amount. The problem in the related art that the spherical power, cylindrical power, and axis position information of the peripheral position of the human eye cannot be accurately obtained is solved, and the effect of improving the detection accuracy of the refractive state of the human eye is achieved.

Description

Technical Field

[0001] This application relates to the field of image technology, and in particular to a method for measuring fundus images, a terminal device, and a computer-readable storage medium. Background Art

[0002] The phenomenon of myopia among teenagers is becoming increasingly common. In order to predict the occurrence of myopia and prevent the deepening of myopia degree, it is usually necessary to measure the peripheral refractive information of the human eye. Research results show that myopic defocus in the peripheral part of the human eye can inhibit the growth of the eye axis and control the exacerbation of myopia, while hyperopic defocus can accelerate the growth of the eye axis and lead to the exacerbation of myopia.

[0003] In traditional technologies, methods for measuring peripheral refraction of the fundus include skiascopy, automated refractometry, wavefront aberrometry, etc., all of which evolved from central refractive measurement techniques. The refractive topography technology is based on computer algorithms developed according to depth. By compensating for the movement of the lens, a large number of fundus images are continuously taken. By comparing the clear images of different divided regions, the actual refractive value of each pixel point is calculated and summarized, and then the corresponding topographic map is drawn to determine the actual refractive power and generate an actual refractive value table.

[0004] However, the currently obtained refractive topography of the human eye is the equivalent spherical refractive power at the central and peripheral positions of the human eye, and it is impossible to accurately obtain the spherical refractive power, cylindrical refractive power, and axis position information at the peripheral position of the human eye. Therefore, there is a problem of insufficient inspection information. Summary of the Invention

[0005] Embodiments of this application provide a method for measuring fundus images, a terminal device, and a computer-readable storage medium, which solve the problem that related technologies cannot accurately obtain the spherical refractive power, cylindrical refractive power, and axis position information at the peripheral position of the human eye, and achieve the effect of improving the inspection accuracy of human fundus images.

[0006] Embodiments of this application provide a method for measuring fundus images, the method including:

[0007] Obtain the position of the focusing lens corresponding to the detection process, as well as the fundus image and refractive compensation amount corresponding to each position of the focusing lens;

[0008] Divide the fundus image into grids, and determine the clarity corresponding to each direction within each grid sub-region;

[0009] Calculate the spherical refractive power, cylindrical refractive power, and axis position information of each grid sub-region according to the clarity, the position of the focusing lens, and the refractive compensation amount.

[0010] Optionally, the step of dividing the fundus image into grids and determining the clarity corresponding to each direction within each grid sub-region includes:

[0011] Divide the fundus image according to a preset grid size to generate the grid sub-regions;

[0012] Starting from a preset direction, obtain the clarity corresponding to the grid sub-regions in each direction.

[0013] Optionally, the step of starting from a preset direction and obtaining the clarity corresponding to the grid sub-regions in each direction includes:

[0014] Taking the center point of the grid sub-region as the center of a circle and the preset direction as the starting direction, determine a direction at every preset angle interval; wherein, the sum of the angles of all adjacent included angles is 360 degrees;

[0015] Obtain the clarity corresponding to the grid sub-regions in each direction.

[0016] Optionally, the step of obtaining the position of the focusing lens corresponding to the detection process, and the fundus images and refractive compensation amounts corresponding to each position of the focusing lens includes:

[0017] During the detection process, control the linear displacement of the focusing lens for scanning movement and capture the fundus images;

[0018] Based on the optical design function, determine the refractive compensation amount corresponding to each of the fundus images.

[0019] Optionally, the step of calculating the spherical power, cylindrical power and axis position information of each grid sub-region according to the clarity, the position of the focusing lens and the refractive compensation amount includes:

[0020] Establish a first functional relationship according to the position of the focusing lens and the refractive compensation amount;

[0021] Establish a second functional relationship according to the position of the focusing lens and the clarity;

[0022] Generate a relationship curve graph of the refractive compensation amount and the clarity according to the first functional relationship and the second functional relationship.

[0023] Optionally, the step of calculating the spherical power, cylindrical power and axis position information of each grid sub-region according to the clarity, the position of the focusing lens and the refractive compensation amount includes:

[0024] Obtain the maximum value of the clarity corresponding to different angular directions at different positions of the focusing lens;

[0025] Obtain the refractive compensation amount corresponding to the maximum value of the clarity and generate a sequence of refractive compensation amounts;

[0026] Obtain the maximum value and the minimum value in the sequence of refractive compensation amounts, and calculate the spherical power, the cylindrical power, and the axis position information.

[0027] Optionally, the step of calculating the spherical power, the cylindrical power, and the axis position information according to the maximum value and the minimum value includes:

[0028] Based on the average value of the maximum value and the minimum value, determine the equivalent spherical power;

[0029] According to the difference between the maximum value and the minimum value, determine the cylindrical power;

[0030] Obtain the angular value of the clarity curve corresponding to the minimum value, and determine the axis position information.

[0031] Optionally, the step of dividing the fundus image into grids and determining the clarity corresponding to each direction within each grid sub-region includes:

[0032] Obtain the image features of the target grid sub-region;

[0033] Based on the image features, perform tracking in each of the fundus images, and extract the target fundus image containing the image features;

[0034] Obtain the clarity of the target grid sub-region in different directions in the target fundus image.

[0035] In addition, to achieve the above object, an embodiment of the present invention further provides a terminal device, including a memory, a processor, and a measurement program of the fundus image stored in the memory and executable on the processor. When the processor executes the measurement program of the fundus image, the above-mentioned method is implemented.

[0036] In addition, to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, on which a measurement program of the fundus image is stored. When the measurement program of the fundus image is executed by a processor, the above-mentioned method is implemented.

[0037] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0038] Using the fundus imaging technology in the refractive topographic map to obtain the fundus image information and shooting parameters under different refractive compensation amounts, where the shooting parameters include shooting time, position information, etc., and obtaining multiple fundus image sequences. The fundus image grid is regionalized, and the relationship between the clarity of the fundus image in each grid sub-region in each direction and the position change of the focusing lens is established. Combining the functional relationship between the spatial position of the focusing lens and the refractive compensation amount in the optical structure design, the change relationship between the refractive compensation amount and the clarity of the fundus in different directions is established. Finally, according to the clarity curve criterion, the spherical power, cylindrical power and axis position information of the human eye in different grid sub-regions are calculated, enriching the test information volume of the refractive topographic map, and thus achieving the effect of improving the accuracy of the spherical power, cylindrical power and axis position information of the peripheral position of the human eye. Brief Description of the Drawings

[0039] Figure 1 It is a schematic flowchart of the first embodiment of the method for measuring the fundus image of this application;

[0040] Figure 2 It is a schematic structural diagram of the test principle of the refractive topographic map;

[0041] Figure 3 It is a schematic principle diagram of the evolution of image clarity when the focusing lens moves back and forth for focusing;

[0042] Figure 4 It is a schematic diagram of the distribution of the imaging diffusion spot of the point light source on the fundus of the human eye when there is no cylindrical lens and when there is cylindrical lens information in the human eye;

[0043] Figure 5 It is a grid division diagram of any fundus image (left) and the definition of different directions of the fundus image within any grid (right);

[0044] Figure 6 It is a schematic flowchart of the second embodiment of the method for measuring the fundus image of this application;

[0045] Figure 7 It is a change curve of the clarity value in different angular directions of the grid sub-region with the refractive compensation amount;

[0046] Figure 8 For Figure 6 It is a relationship diagram of the clarity value of the grid sub-region in different angular directions with the movement of the spatial position z of the focusing lens;

[0047] Figure 9 It is a change curve of the refractive compensation amount with the spatial position z of the focusing lens in the optical system;

[0048] Figure 10 It is a schematic structural diagram of the terminal of the hardware operating environment involved in the solution of an embodiment of this application. Detailed Embodiment

[0049] In the traditional technology, the spherical power, cylindrical power, and axis position information of the peripheral position of the human eye cannot be accurately detected, so it is impossible to accurately predict myopia and prevent the deepening of myopia degree. The present application provides a method for measuring fundus images. By obtaining fundus images, the position of the focusing lens for each fundus image, and the refractive compensation amount corresponding to each fundus image. The fundus image is divided into grids, and the clarity corresponding to each direction within each grid sub-region is determined. According to the position of the focusing lens, the refractive compensation amount, and the clarity in each direction, the spherical power, cylindrical power, and axis position information of the peripheral position of the human eye are calculated, achieving the effect of improving the accuracy of fundus peripheral refractive examination of the human eye.

[0050] To better understand the above technical solution, the exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present application can be more thoroughly understood and the scope of the present application can be fully conveyed to those skilled in the art.

[0051] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0052] Embodiment 1

[0053] In this embodiment, a method for measuring fundus images is provided.

[0054] Referring to Figure 1 , the method for measuring fundus images in this embodiment includes the following steps:

[0055] Step S100: Obtain the position of the focusing lens corresponding to the detection process, and the fundus image and the refractive compensation amount corresponding to each position of the focusing lens;

[0056] In this embodiment, fundus images under different positions of the focusing lens and different refractive compensation amounts are obtained by using the fundus imaging technology in the refractive topographic map. There is a corresponding refractive compensation amount for different positions of the focusing lens.

[0057] As an alternative implementation manner, referring to Figure 2, which is the structure of a refractive topographic map, includes an objective lens, a focusing lens, an imaging lens, and a detector. During use, the objective lens is located in front of the human eye and is used to collect the light rays in the reflection circuit of the illumination light hitting the retina. The light rays emitted from any point on the fundus retina converge on the detector after passing through the objective lens, the focusing lens, and the imaging lens. The focusing lens can be translated in space to change the focal length of the imaging system. When any point on the human eye retina passes through the objective lens, the focusing lens, and the imaging lens and is absolutely conjugate to a corresponding point on the detector, the image of that retinal position will be clearly presented on the detector.

[0058] Exemplarily, the refractive values at the peripheral positions of the human eye are not the same. Therefore, in a single fundus image, the images at each position are not the clearest, and the degree of blurriness is related to the refractive values at each position of the human eye. Refer to Figure 3 , when measuring the fundus image, the focusing lens is moved back and forth, and the optical system performs refractive compensation from low to high. At this time, the images at each position of the fundus first change from blurry to clear and then from clear to blurry, and the images at each position of the fundus do not reach clarity simultaneously. When the refractive compensation amount corresponding to the focusing lens is exactly equal to the refractive value at that position of the human eye retina, the image clarity at that position of the detector fundus image reaches the highest value. During the process of moving the focusing lens, the fundus images of the human eye detected by the detector are recorded, and each fundus image has its corresponding refractive compensation amount.

[0059] As another alternative implementation, during the detection process, the focusing lens is controlled to perform a scanning movement with a linear displacement, and the fundus image is captured during the movement of the focusing lens. Then, based on the optical design function, the refractive compensation amount corresponding to each of the fundus images is determined.

[0060] Exemplarily, during the movement of the focusing lens, the optical system performs refractive compensation on the fundus. During the focusing and refractive compensation processes, the fundus image is acquired, and the position of the focusing lens and the refractive compensation amount of each fundus image are recorded. The focal lengths corresponding to different positions of the focusing lens are different, and the optical design function will automatically generate the refractive compensation values corresponding to each fundus image based on different focal lengths and the refractive values of the human eye retina of the currently measured person. Since the fundus images are acquired under different positions of the focusing lens, the available data samples are larger, and thus the finally calculated results are more referenceable, which can improve the accuracy of the calculation of various data of the fundus image.

[0061] Step S200: Divide the fundus image into grids and determine the clarity corresponding to each direction within each grid sub-region;

[0062] In this embodiment, the fundus image is meshed so that the clarity of each grid can be distinguished, that is, the clarity at different positions of the fundus is obtained. After obtaining the clarity at each position of the fundus, the clarity of different positions of the fundus image at different focal lengths can be fitted to generate a dynamic clarity change curve, so as to obtain more accurate distribution values of the refractive power of the central and peripheral parts of the human eye.

[0063] As an alternative embodiment, referring to Figure 4 , according to the optical principle, the size of the blur circle on the final image plane of the imaging system determines the clarity of the fundus image. In an actual optical system, a normal blur circle is circular; when astigmatism occurs in the human eye, the blur circle is elliptical. The clarity in all directions of a circular blur circle is the same, and the refractive power values corresponding to all directions of the fundus are also the same. For an elliptical blur circle, the clarity in the major axis and minor axis directions is inconsistent, and the refractive power values are also inconsistent.

[0064] Exemplarily, the diameter of the major axis of the ellipse is the largest, and the clarity in the corresponding direction is the lowest; while the diameter of the minor axis is the smallest, and the clarity in the corresponding direction is the highest, and the clarity in other directions is between the two. Therefore, when performing refractive compensation, the compensation for the major axis and the minor axis is also inconsistent.

[0065] As another alternative embodiment, referring to Figure 5 , according to the preset grid size, each fundus image is divided to generate grid sub-regions. Starting from the preset direction, the clarity corresponding to each grid sub-region in each direction is obtained.

[0066] Exemplarily, the center point of the fundus image can be used as the origin, and the fundus image is divided into grids in the x-axis and y-axis directions, and the size of each grid sub-region is the same. As Figure 5 (right) shows, taking the positive x-axis direction as the preset direction, a direction is divided every fixed angle. The smaller the interval degree, the more directions are divided, and the more accurate the final result is. It should be noted that the angle between every two directions is the same, and the sum of the angles of all directions is 360 degrees. For example, a direction can be defined every 15 degrees. The clarity of each direction is obtained respectively, and the clarity value of each direction is S(n, i, j, d), where n represents the nth fundus image, i and j respectively represent the ith grid sub-region in the x direction and the jth grid sub-region in the y direction of the nth fundus image, and d represents the corresponding angle.

[0067] Step S300: Calculate the spherical power, cylindrical power and axis position information of each grid sub-region according to the clarity, the position of the focusing lens and the refractive compensation amount.

[0068] In this embodiment, the spherical power refers to the refractive power, mainly referring to myopia and hyperopia degrees. The cylindrical power refers to the astigmatism degree. The axis information refers to the astigmatism axis, that is, the position of the astigmatism.

[0069] As an alternative implementation, according to the refractive compensation amount of each grid sub-region at different focusing lens positions, and the clarity values of different angular directions corresponding to each grid sub-region at different focusing lens positions, the spherical power, cylindrical power, and axis information of the grid sub-region can be determined. Each grid sub-region corresponds to a human eye position. Therefore, determining the spherical power, cylindrical power, and axis information of the grid sub-region is equivalent to determining the spherical power, cylindrical power, and axis information of the human eye position, providing more refined spherical power, cylindrical power, and axis information for the central and peripheral positions of the human eye.

[0070] Exemplarily, assuming that the clarity values in different directions of the target grid sub-region A in different fundus images are required, it is necessary to obtain the image features of the grid sub-region A, obtain all the fundus images with the existence of the image features, and at the same time obtain the corresponding focusing lens positions of the fundus images. Then, obtain the clarity of the grid sub-region A in different angular directions in different fundus images. Since the focusing lens positions of different fundus images are different, a relationship mapping curve between the focusing lens position and the clarity can be generated. Then, obtain the refractive compensation value of each fundus image containing the grid sub-region A, and a relationship curve between the refractive compensation value and the clarity in different angular directions can be generated. By tracking the image features of the grid corresponding to each grid sub-region, the refractive compensation value corresponding to each grid sub-region at different focusing lens positions and the clarity in different angular directions can be determined. Then, based on the obtained data and combined with the optical function, calculate the spherical power, cylindrical power, and axis information of each grid sub-region.

[0071] In this embodiment, fundus imaging technology in the refractive topographic map is used to obtain fundus image information and shooting parameters under different refractive compensation amounts, where the shooting parameters include shooting time and position information, etc., to obtain multiple sequences of fundus images. Grid the fundus image regions, and establish the relationship between the clarity of the fundus images in each grid sub-region in each direction and the change of the focusing lens position. Combine the functional relationship between the spatial position of the focusing lens and the refractive compensation amount in the optical structure design to establish the change relationship between the refractive compensation amount and the clarity in different directions of the fundus. Finally, calculate the spherical power, cylindrical power, and axis information of the human eye in different grid sub-regions according to the clarity curve criterion, enriching the test information volume of the refractive topographic map, and thus achieving the effect of improving the accuracy of the spherical power, cylindrical power, and axis information of the peripheral position of the human eye.

[0072] Embodiment Two

[0073] Based on Embodiment One, another embodiment of the present application is proposed, referring to Figure 6, the steps of calculating the spherical power, cylindrical power and axis position information of each of the grid sub-regions according to the clarity, the position of the focusing lens and the refractive compensation amount include:

[0074] Step S301: Obtain the maximum clarity values corresponding to different angular directions at different positions of the focusing lens;

[0075] Step S302: Obtain the refractive compensation amounts corresponding to the maximum clarity values to generate a sequence of refractive compensation amounts;

[0076] Step S303: Obtain the maximum and minimum values in the sequence of refractive compensation amounts, and calculate the spherical power, the cylindrical power and the axis position information.

[0077] In this embodiment, the cylindrical lens effect will result in the minimum refractive compensation in the axis position angular direction and the maximum refractive compensation in the direction perpendicular to the axis position. Therefore, the maximum and minimum values of the refractive compensation amount can be obtained.

[0078] As an alternative embodiment, before obtaining the maximum clarity value, first establish a first functional relationship based on the position of the focusing lens and the refractive compensation amount. Then establish a second functional relationship based on the position of the focusing lens and the clarity. Finally, generate a relationship curve graph of the refractive compensation amount and the clarity based on the first functional relationship and the second functional relationship. As Figure 7 shown.

[0079] Exemplarily, the first functional relationship is the functional relationship between the spatial position of the focusing lens and the clarity values corresponding to different directions of the grid sub-region. Referring to Figure 8 , according to the first functional relationship, a mapping curve of the spatial position of the focusing lens and the clarity value can be generated. The second functional relationship is the functional relationship between the spatial position of the focusing lens and the corresponding refractive compensation amount. Referring to Figure 9 , according to the second functional relationship, a relationship curve of the spatial position of the focusing lens and the refractive compensation amount can be generated.

[0080] As another alternative embodiment, according to Figure 7 the relationship curve graph of the refractive compensation amount and the clarity shown, the sequence of refractive compensation amounts {D} (D 61 , D 62 , D 63 ,..., D 6n ) can be determined. Then, according to the sequence of refractive compensation amounts, the maximum refractive compensation D max and the minimum refractive compensation D min can be determined.

[0081] Exemplarily, after determining the maximum refractive compensation value and the minimum refractive compensation value, the equivalent spherical power SE, spherical power S, cylindrical power C, and axis information A corresponding to a grid sub-region can be calculated. The spherical power S is the minimum refractive compensation value D min . The equivalent spherical power SE = (D max + D min ) / 2. The cylindrical power C = D max - D min . The axis information A is equal to the angular value of the clarity curve corresponding to the minimum refractive compensation value.

[0082] In this embodiment, by establishing the refractive compensation amount and the clarity curves in different angular directions of the grid sub-regions, a sequence of refractive compensation amounts can be intuitively obtained. Then, based on the refractive compensation sequence, the maximum value and the minimum value are calculated, and further, the spherical power, cylindrical power, and axis information of each grid sub-region are calculated. This simplifies the calculation process. At the same time, through the image, the clarity difference between the central and peripheral positions of the human eye in the fundus image can also be intuitively displayed, and the test information volume of the refractive topographic map is also enriched.

[0083] Embodiment 3

[0084] In the embodiment of the present application, a measuring device for fundus images is proposed.

[0085] Referring to Figure 10 , Figure 10 is a schematic diagram of the terminal structure of the hardware operating environment involved in the solution of an embodiment of the present application.

[0086] As shown in Figure 10 , the control terminal may include: a processor 1001, such as a CPU, a network interface 1003, a memory 1004, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The network interface 1003 may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface). The memory 1004 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1004 may optionally be a storage device independent of the aforementioned processor 1001.

[0087] Those skilled in the art can understand that Figure 10 the terminal structure shown in

[0088] does not constitute a limitation on the terminal, and may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements. Figure 10 As shown in

[0089] In Figure 10 In the hardware structure of the fundus image measurement device shown, the processor 1001 can call the fundus image measurement program stored in the memory 1004 and perform the following operations:

[0090] Obtain the position of the focusing lens corresponding to the detection process, as well as the fundus images and refractive compensation amounts corresponding to each of the positions of the focusing lens;

[0091] Divide the fundus image into grids and determine the clarity corresponding to each direction within each grid sub-region;

[0092] Calculate the spherical power, cylindrical power, and axis position information of each of the grid sub-regions based on the clarity, the position of the focusing lens, and the refractive compensation amount.

[0093] Optionally, the processor 1001 can call the fundus image measurement program stored in the memory 1004 and also perform the following operations:

[0094] Divide the fundus image according to a preset grid size to generate the grid sub-regions;

[0095] Starting from a preset direction, obtain the clarity corresponding to each direction of the grid sub-region.

[0096] Optionally, the processor 1001 can call the fundus image measurement program stored in the memory 1004 and also perform the following operations:

[0097] Taking the center point of the grid sub-region as the center and a preset direction as the starting direction, determine a direction at every preset angle interval; wherein, the sum of the angles of all adjacent included angles is 360 degrees;

[0098] Obtain the clarity corresponding to each direction of the grid sub-region.

[0099] Optionally, the processor 1001 can call the fundus image measurement program stored in the memory 1004 and also perform the following operations:

[0100] During the detection process, control the linear displacement scanning movement of the focusing lens and capture the fundus image;

[0101] Based on the optical design function, determine the refractive compensation amount corresponding to each of the fundus images.

[0102] Optionally, the processor 1001 can call the fundus image measurement program stored in the memory 1004 and also perform the following operations:

[0103] Establish a first functional relationship based on the position of the focusing lens and the refractive compensation amount;

[0104] Establish a second functional relationship based on the position of the focusing lens and the clarity;

[0105] Generate a relationship curve graph of the refractive compensation amount and the clarity according to the first functional relationship and the second functional relationship.

[0106] Optionally, the processor 1001 may call the measurement program of the fundus image stored in the memory 1004 and further perform the following operations:

[0107] Obtain the maximum value of the clarity corresponding to different angular directions at different positions of the focusing lens;

[0108] Obtain the refractive compensation amount corresponding to the maximum value of the clarity and generate a sequence of refractive compensation amounts;

[0109] Obtain the maximum value and the minimum value in the sequence of refractive compensation amounts, and calculate the spherical power, the cylindrical power, and the axis position information.

[0110] Optionally, the processor 1001 may call the measurement program of the fundus image stored in the memory 1004 and further perform the following operations:

[0111] Determine the equivalent spherical power based on the average value of the maximum value and the minimum value;

[0112] Determine the cylindrical power according to the difference between the maximum value and the minimum value;

[0113] Obtain the angular value of the clarity curve corresponding to the minimum value and determine the axis position information.

[0114] Optionally, the processor 1001 may call the measurement program of the fundus image stored in the memory 1004 and further perform the following operations:

[0115] Obtain the image features of the target grid sub-region;

[0116] Track based on the image features in each fundus image and extract the target fundus image containing the image features;

[0117] Obtain the clarity of the target grid sub-region in different directions in the target fundus image.

[0118] In addition, to achieve the above object, an embodiment of the present invention further provides a terminal device, including a memory, a processor, and a measurement program of the fundus image stored on the memory and executable on the processor. When the processor executes the measurement program of the fundus image, the measurement method of the fundus image as described above is implemented.

[0119] In addition, to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, on which a measurement program for fundus images is stored. When the measurement program for fundus images is executed by a processor, the measurement method for fundus images as described above is implemented.

[0120] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0122] These computer program instructions can 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 generate a manufactured product including an instruction device, and the instruction device implements the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0124] It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in the claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present application may be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed computer. In a unit claim listing several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not denote any order. These words may be interpreted as names.

[0125] Although the preferred embodiments of the present application have been described, additional changes and modifications can be made by those skilled in the art once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to cover the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0126] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the invention. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A measurement device for fundus images, characterized in that, It includes a memory, a processor, and a measurement program for fundus images stored in the memory and executable on the processor. When the processor executes the measurement program for fundus images, the following steps are performed: Obtain the position of the focusing lens corresponding to the detection process, as well as the fundus images and refractive compensation amounts corresponding to each position of the focusing lens, where the fundus images are fundus images including the peripheral positions of the human eye; Divide the fundus images into grids and determine the sharpness corresponding to each direction within each grid sub-region; Calculate the spherical power, cylindrical power, and axis position information of each grid sub-region based on the sharpness, the position of the focusing lens, and the refractive compensation amount, to obtain the spherical power, cylindrical power, and axis position information of the peripheral positions of the human eye; The step of dividing the fundus images into grids and determining the sharpness corresponding to each direction within each grid sub-region includes: Divide the fundus images according to a preset grid size to generate the grid sub-regions; Starting from a preset direction, obtain the sharpness corresponding to each direction of the grid sub-region; The step of starting from a preset direction and obtaining the sharpness corresponding to each direction of the grid sub-region includes: Taking the center point of the grid sub-region as the center of the circle and the preset direction as the starting direction, determine a direction at every preset angle interval; where the sum of the angles of all adjacent included angles is 360 degrees; Obtain the sharpness of the grid sub-region in each direction; The step of calculating the spherical power, cylindrical power, and axis position information of each grid sub-region based on the sharpness, the position of the focusing lens, and the refractive compensation amount includes: Obtain the maximum value of the sharpness corresponding to different angular directions at different positions of the focusing lens; Obtain the refractive compensation amounts corresponding to the maximum values of the sharpness to generate a sequence of refractive compensation amounts; Obtain the maximum and minimum values in the sequence of refractive compensation amounts and calculate the spherical power, the cylindrical power, and the axis position information.

2. The measuring device for fundus images according to claim 1, characterized in that The processor also performs the following steps: During the detection process, control the linear displacement of the focusing lens for scanning movement and capture the fundus images; Based on the optical design function, determine the refractive compensation amounts corresponding to each of the fundus images.

3. The measuring device for fundus images according to claim 1, characterized in that, The processor also performs the following steps: Establish a first functional relationship according to the position of the focusing lens and the refractive compensation amount; Establish a second functional relationship according to the position of the focusing lens and the sharpness; Generate a relationship curve graph between the refractive compensation amount and the sharpness according to the first functional relationship and the second functional relationship.

4. The measurement device for fundus images according to claim 1, characterized in that, The processor also performs the following steps: Determine the equivalent spherical power based on the average value of the maximum and minimum values; Determine the cylindrical power according to the difference between the maximum and minimum values; Obtain the angular value of the sharpness curve corresponding to the minimum value to determine the axis position information.

5. The measuring device for fundus images according to claim 1, characterized in that, The processor also performs the following steps: Obtain the image features of the target grid sub-region; Track based on the image features in each of the fundus images and extract the target fundus images containing the image features; Obtain the sharpness of the target grid sub-region in different directions in the target fundus image.

Images