Image correction for ophthalmic imaging systems

Abstract

In a particular embodiment, the ophthalmic system images an ocular region including at least one eye. The system includes a camera system and a computer. The camera system includes a plurality of cameras that generate partial images of the ocular region. Each camera is positioned at a location relative to the ocular region to generate a partial image. The computer receives images from the camera system. A first partial image is provided by a first camera, and a second partial image is provided by a second camera. The computer identifies a target pixel in the first partial image, which images the location of the ocular region; identifies image information for a correction pixel in the second partial image, which images the same location in the ocular region; and corrects the target pixel using the identified image information.

Description

Technical Field

[0001] The present disclosure generally relates to an ophthalmic imaging system, and more particularly to image correction for an ophthalmic imaging system.

Background Art

[0002] Ophthalmic systems often provide an image of an eye for diagnosing or treating the eye. The eye is typically illuminated to generate an image. However, the illumination can cause unwanted reflections that appear in the image.

Summary of the Invention

[0003] In certain embodiments, an ophthalmic system images an eye region that includes at least one eye. The system includes a camera system, a illuminator, and a computer. The camera system includes a plurality of cameras that generate partial images of the eye region. Each camera is disposed at a location with respect to the eye region to generate a partial image. The illuminator is disposed at a location with respect to the eye region and directs light at the eye region. The computer receives the partial images from the camera system. A first partial image is provided by a first camera and a second partial image is provided by a second camera. The computer identifies reflection pixels in the first partial image, where the reflection pixels image the reflection of light from the illuminator reflected at a location in the eye region, identifies image information of correction pixels in the second partial image, where the correction pixels image the same location in the eye region, and uses the identified image information to correct the reflection pixels to reduce the reflection.

[0004] The plurality of embodiments may not include any of the following features at all, or may include one, some, or all of the following features.

[0005] * The cameras include a stereo camera symmetrically disposed about the system axis of the camera system.

[0006] *The computer identifies the reflected pixels in the first partial image by detecting light-saturated pixels as reflected pixels.

[0007] *The computer identifies the reflected pixels of the first partial image by identifying the reflected pixels according to the location of the illuminator relative to the eye region and the location of the first camera relative to the eye region.

[0008] The computer identifies the reflective pixels in the first partial image by receiving eye-tracking information describing eye movements and by identifying the reflective pixels according to their previous positions and eye movements.

[0009] *The first camera is distinct from the second camera. The first camera is located in a first location related to the eye region, and the second camera is located in a second location related to the eye region, which is different from the first location.

[0010] *The first camera is the same as the second camera, and the second partial image is provided before the first partial image.

[0011] *The second partial image includes default eye image information.

[0012] *The computer corrects reflective pixels by using identified image information to replace them with corrective pixels.

[0013] *The computer corrects the reflected pixels by applying an averaging function to the reflected pixels and corrected pixels using the identified image information.

[0014] *The computer corrects the reflected pixels by using the identified image information to generate a correction overlay using correction pixels and then superimposing the correction overlay on top of the reflected pixels.

[0015] In a particular embodiment, the ophthalmic system photographs an eye region including at least one eye. The system includes a camera system and a computer. The camera system includes a plurality of cameras that generate partial images of the eye region. Each camera is positioned at a location relative to the eye region and generates a partial image. The computer receives the partial images from the camera system. A first partial image is provided by a first camera, and a second partial image is provided by a second camera. The computer identifies a target pixel in the first partial image, which images a location in the eye region, and identifies image information for a correction pixel in the second partial image, which images the same location in the eye region, and corrects the target pixel using the identified image information.

[0016] Multiple embodiments may not include any of the following features, or may include one, some, or all of the following features.

[0017] *The cameras include stereo cameras arranged symmetrically around the system axis of the camera system.

[0018] *The computer identifies the target pixel in the first partial image by detecting light-saturated pixels as reflective pixels.

[0019] *The computer identifies the target pixel in the first partial image by receiving eye-tracking information describing eye movements and identifying the target pixel according to the target pixel's previous position and eye movements.

[0020] * The first camera is distinct from the second camera; the first camera is located in a first location with respect to the eye region, and the second camera is located in a second location with respect to the eye region, which is different from the first location.

[0021] *The first camera is the same as the second camera, and the second partial image is provided before the first partial image.

[0022] *The second partial image includes default eye image information.

[0023] *The computer corrects the target pixel by replacing the identified image information with the corrected pixel.

[0024] *The computer corrects the target pixel by applying an averaging function to the target pixel and the corrected pixel using the identified image information.

[0025] *The computer corrects the target pixel by generating a correction overlay using the corrected pixel and overlaying the correction overlay on top of the target pixel using the identified image information.

Brief Description of the Drawings

[0026] [Figure 1] An example of an ophthalmic system including an eye camera that provides an image of an eye region according to a particular embodiment is shown [Figure 2] An example of the field of view (FOV) of the camera system of FIG. 1 according to a particular embodiment is shown. [Figure 3A-3B] An example of the camera system of FIG. 1 that tracks an eye region according to a particular embodiment is shown [Figure 4] An example of a method for correcting pixels in an eye image according to a particular embodiment is shown. FIG. 4 shows a partial image used to generate a corrected image. [Figure 5] An example of a method for correcting pixels in an eye image according to a particular embodiment is shown in FIG. 5, which shows a flowchart of the method.

Modes for Carrying Out the Invention

[0027] The description and drawings here illustrate in detail exemplary embodiments of the disclosed apparatus, systems, and methods. The description and drawings are not intended to be exhaustive or otherwise limit the claims to any particular embodiments illustrated and disclosed herein. While the drawings represent possible embodiments, they are not necessarily to exact scale, and certain features may be simplified, exaggerated, omitted, or partially divided in order to better illustrate the embodiments.

[0028] According to known techniques for reducing problematic pixels in an image, such as reflections, the illumination is polarized and the polarized component is filtered out of the image. However, diffuse surfaces reflect polarized light in different directions, which can cause problems; for example, the surface of a dissected LASIK flap can cause undesirable colored flicker. According to other known techniques, reflections can be removed by interpolating information from adjacent pixels. However, known interpolation techniques may produce less accurate images.

[0029] The ophthalmic imaging systems described herein have multiple cameras that provide images of the eye from different viewing directions to generate digital images, such as images in a microscope. Because the cameras have different lines of sight, problematic pixels, such as reflections, appear at various locations within the image of the eye. If there is a reflection at a location in the eye in one image, the image may be corrected using image data from other images that do not have a reflection at that location. If there are locations where no image provides non-reflective image data, data from surrounding pixels may be interpolated to provide information about these locations.

[0030] Figure 1 shows an example of an ophthalmic system 10 equipped with an eye camera 12 that provides images of an ocular region 14 (which may include one or both eyes of a patient) according to a particular embodiment. For ease of explanation, specific eye features are used to define an exemplary coordinate system 16 (x, y, z) of the eye. For example, an eye has a center (e.g., pupil center, corneal apex, vertex) and an axial length 15 (e.g., optical axis or pupillary axis) that can define the z-axis of the ocular coordinate system 16, which in turn defines the xy-plane of the coordinate system 16. The ocular region 14 has a region axis 17. If the ocular region 14 includes one eye, the region axis 17 may substantially coincide with the axial length 15. If the ocular region 14 includes both eyes, the region axis 17 may pass through the midpoint between the two eyes.

[0031] As an example of a system overview, the ophthalmic system 10 includes an eye camera 12, an ophthalmic device 22, a display 24, a computer 26 (including logic 27 and memory 28), and an illuminator 30, which are connected as shown in the figure. The eye camera 12 includes a camera system 20 and a computer 26, which are connected as shown in the figure. As an example of operation overview, the eye camera 12 provides an image of the eye region 14. The camera system 20 has multiple cameras that generate partial images of the eye region 14. Each camera is positioned at a known location (e.g., a known position and / or orientation relative to each other and / or the eye region 14) and records at least one portion of the eye region 14 to generate a partial image. The computer 26 receives the partial images from the camera system 20. The computer 26 then identifies a target pixel (e.g., a reflective pixel) in one partial image at a location in the eye region and identifies image information of correction pixels in other partial images that capture the same location in the eye region. The computer 26 uses the identified image information to correct the target pixel. In some embodiments, if there are locations where no image provides usable (e.g., non-reflective) image data, data from surrounding pixels may be interpolated to provide information about these locations.

[0032] Any suitable target pixel can be corrected. For example, a target pixel could be a reflection pixel that images the reflection of light from the eye and is corrected to reduce the reflection image. As another example, a target pixel could be an occlusion pixel that images the position of the eye that is obscured by, for example, an instrument or a body part such as an eyelash.

[0033] Looking at the components, the camera system 20 has a field of view (FOV) that covers the eye region 14. The FOV has a known relationship with the coordinate system of the camera system 20, and in certain embodiments, a known relationship with the coordinate system used by the ophthalmic device 22 for the treatment and / or diagnosis of the eye. In these embodiments, the eye tracker can track the location and movement of the eye by tracking its location and movement relative to the FOV. The eye-tracking information can be used by the ophthalmic device 22 for the treatment and / or diagnosis of the eye.

[0034] In this embodiment, the camera system 20 includes multiple cameras. For ease of explanation, the “location” of the camera relative to the eye region 14 can refer to the distance between the camera and the eye region 14 and the direction of the camera axis relative to the region axis 17. The camera detects light from an object and generates a signal in response to that light. The signal carries image data that can be used to generate an image of the eye. The image data is provided to a computer 26 for eye tracking (and optionally other analysis) and can also be provided to a display 24 to present the image of the eye. Examples of cameras include charge-coupled devices (CCDs), video, complementary metal-oxide-semiconductor (CMOS) sensors (e.g., active pixel sensors (APS)), line sensors, and optical coherence tomography (OCT) cameras.

[0035] The camera detects light within any suitable spectral range, which is, for example, the range of infrared (IR), ultraviolet (UV), and / or visible (VIS) wavelengths, and the range may include some or all of the wavelengths. For example, the camera may detect visible light, infrared light, or other visible and infrared light from the eye region 14 to generate an image portion. Certain cameras may capture eye features (e.g., pupil, iris, blood vessels, limbus, sclera, eyelashes, and / or eyelids) better than other cameras. For example, infrared cameras generally provide more stable pupil tracking and higher contrast with respect to iris structure. Therefore, an IR camera may be used to monitor lateral movement by tracking pupil and / or eye rotation by tracking iris structure. As another example, since a visible range camera produces better images of blood vessels, a visible range camera may be used to monitor translational and / or rotational movement by tracking blood vessels.

[0036] A camera can record images at any suitable frequency or resolution. Higher-speed cameras can record images at, for example, over 400-1500 frames per second, e.g., over 500, 750, or 1000 frames per second. Higher-resolution cameras can produce images at, for example, over 4-24 megapixels, e.g., over 5, 10, 15, or 20 megapixels. Generally, acquiring higher-resolution and higher-speed images can lead to more accurate tracking, but both features may require longer computation times, so a trade-off may exist between resolution and speed. Therefore, the camera speed and / or resolution may be selected for a particular purpose. In certain embodiments, a higher-speed camera may track eye features that are moving faster and / or can be identified at a lower resolution, while a higher-resolution camera may be used to track eye features that require a higher resolution for identification and / or are moving slower. For example, a lower-resolution, higher-speed camera could track the pupil (which doesn't require high resolution) to detect x and y motion. Another example is a higher-resolution, lower-speed camera that could track blood vessels / iris structures to detect rotation and z motion.

[0037] The ophthalmic device 22 may be a system used to diagnose and / or treat the eye. Examples include refractive surgery systems, cataract systems, topographers, OCT measuring devices, and wavefront measuring devices. The display 24 provides images to the user of system 10. Examples of the display 24 include computer monitors, 3D displays, projectors / beamers, TV monitors, binocular displays, eyeglasses with monitors, virtual reality displays, augmented reality displays, and mixed reality displays.

[0038] The illuminator 30 directs light towards the eye region 14 for imaging, illuminating the eye. The illuminator 30 may include one or more light sources, for example, one or more of the following: a lamp, an LED (white or monochrome, e.g., green, red, IR, or UV), a laser diode (having the same exemplary colors as the LED), and / or a projected light pattern (e.g., dots, lines, or crosses). In certain embodiments, illumination may be provided by indoor lighting or sunlight.

[0039] Computer 26 controls the components of system 10 (e.g., camera system 20, ophthalmic device 22, display 24, and / or illuminator 30) to photograph the eye. Generally, computer 16 receives a partial image from camera system 20, corrects the pixels of the partial image, and generates an image of the eye region 14. In summary, computer 26 identifies target pixels, for example, reflective pixels that image the reflection of light in the image. Computer 26 identifies image information of correction pixels from other images, for example, and uses the image information from the correction pixels to correct the target pixels.

[0040] In embodiments for correcting reflected pixels, reflected pixels can be identified by any suitable method. For example, computer 26 may use image processing to detect light-saturated pixels in the reflected pixels. Light-saturated pixels may be, for example, pixels with more than 90 percent of the maximum level reading. As another example, computer 26 may calculate the position of reflected pixels based on the location of the illuminator 30 and the location of the camera that provided the image. The location of the illuminator 30 tells us the direction of the light rays incident on the eye and the light rays reflected from the eye. The location of the camera tells us the position of the eye from which the camera received the reflected light. As yet another example, computer 26 may receive eye-tracking information describing eye movement and then calculate the position of reflected pixels based on the previous position of the pixels and the eye movement. Since reflections move with the eye, the position of reflected pixels can be determined from their previous position and movement.

[0041] In this embodiment, the computer 26 uses correction pixels from a second partial image to identify image information, where the correction pixels image the same position of the eye where the reflection appears in the first image. The image information can be identified by any suitable method. For example, the image information can be identified from a second partial image provided by a different camera located in a different location than the camera that provided the first partial image, for example, a stereoscopically positioned camera. Because the multiple cameras are in different locations, the reflection may appear at a certain position of the eye in one image, but at a different position of the eye in other images.

[0042] As another example, image information may be identified from a second partial image provided by the same camera that provided the first partial image, in which case the camera produced the first and second partial images at different times. As yet another example, computer 26 may identify image information from a second partial image that includes default eye image information. Default eye image information may include, for example, typical eye image data at that location. For example, if correction pixels are used to correct pixels in the pupil, default eye image information may include dark pixels.

[0043] In the embodiment, the computer 26 reduces reflections using identified image information by any suitable method. For example, the computer 26 may replace the reflected pixels with correction pixels. As another example, the computer 26 may apply an averaging function to the reflected pixels and correction pixels. For example, the averaging function may weight the pixels equally, or it may weight pixels from higher quality images more heavily, for example. As yet another example, the computer 26 may use the correction pixels to generate a correction overlay and superimpose the correction overlay on top of the reflected pixels.

[0044] Figure 2 shows an example of the field of view (FOV) 40 of the camera system 20 of Figure 1 according to a specific embodiment. The multiple cameras of the camera system 20 may have any suitable arrangement. For example, cameras A and B may be arranged mirror-symmetrically around the system axis 14, i.e., spatially separated on both sides of the system axis 14 with equal field of view angles. The images may be reconstructed three-dimensionally to track the position and orientation of the eyes in two or three dimensions. The greater the angle and / or distance between the cameras, the higher the accuracy in the z direction. This can facilitate the positioning of the patient's head.

[0045] The cameras of the camera system 20 have a field of view (FOV) that detects light from the eye region 14 and generates a partial image 45 of part or all of the eye region 14. Different cameras may have different FOVs that detect light from different parts of the eye region in different directions, and these different FOVs may overlap. In certain embodiments, the combination of FOVs from the cameras yields a system FOV 40. Generally, more cameras in different locations (positions and orientations) can improve the accuracy of detecting and tracking eye features.

[0046] In this example, the camera system 20 has a system FOV 40, a system axis 42, and a system coordinate system 44 (x', y', z'). The system axis 42 may be at any suitable location; for example, the axis 42 may be substantially orthogonal to the system FOV 40 and pass through the center of the system FOV 40. The system axis 42 and the system coordinate system 44 (x', y', z') may be related in any suitable way. In this example, the system axis 42 defines the z' axis of the system coordinate system 44. In this example, the system FOV 40 is generally planar and images the numbers 1 through 9. The camera system 20 includes camera A having FOV A and camera B having FOV B, where FOV A and FOV B extend partially or entirely over the system FOV 40. Camera A provides a first partial image captured with FOV A, and camera B provides a second partial image captured with FOV B.

[0047] In certain embodiments, the computer 26 aligns and combines the partial images 45 to generate a composite image 46. The partial images 45 can be aligned by any suitable method. For example, each camera has known locations, such as position (e.g., distance from the system FOV 40 and / or eye region 14), orientation (e.g., camera optical axis with respect to the system axis 42 and / or eye axis 15, or field of view), dimensions, and imaging characteristics. From this information, the computer 26 can identify the locations of the partial images 45 and align them within the composite image 46. As another example, each camera generates an image of a calibration diagram (e.g., a checkerboard), from which the camera's location is identified. As yet another example, the user calibrates the partial images 45 by manually aligning them as viewed through the camera. The computer 26 records the locations of the aligned partial images.

[0048] Figures 3A and 3B show an example of the camera system 20 of Figure 1 tracking an eye region 14 according to a particular embodiment. In Figure 3A, the eye region 14 includes one eye. In this example, the axial length 15 of this eye can first be substantially aligned with the system axis 42 of the camera system 20. As the eye moves relative to the camera system 20, the axial length 15 moves relative to the system axis 42.

[0049] In Figure 3B, the eye region 14 includes both eyes. The system axis 42 of the camera system 20 can be aligned at any suitable position, for example, substantially aligned with the midpoint between the two eyes. Since the camera system 20 includes multiple cameras that capture one or both eyes and generate a composite image of both eyes simultaneously, the camera system 20 can track both eyes simultaneously and independently of each other. In certain embodiments, the camera system 20 includes a pair of stereo cameras, each capable of capturing both eyes and providing three-dimensional image information including z-depth information for both eyes.

[0050] Figures 4 and 5 show an example of a method for correcting pixels, such as reflective pixels, in an eye image according to a particular embodiment. Figure 4 shows partial images A and B used to generate the corrected image 46, and Figure 5 shows a flowchart of the method. The method begins in step 110, where the illuminator 30 directs light onto the eye region 14. In step 112, the camera system 20 generates partial images A and B of the eye region 14. In step 114, the computer 26 receives partial images A and B from the camera system 20.

[0051] In step 116, the computer 26 identifies the reflective pixels of partial image A. The reflective pixels image the reflection of light at a specific location in the eye region 14. The reflective pixels can be identified by any suitable method. For example, the computer 26 may detect light-saturated pixels as reflective pixels. As another example, the computer 26 may calculate the position of the reflective pixels depending on the location of the illuminator 30 and the location of the camera that provided partial image A. As yet another example, the computer 26 may receive eye-tracking information describing eye movements and then calculate the position of the reflective pixels depending on the previous location of the pixels and the eye movements.

[0052] In step 120, the computer 26 identifies the image information of the correction pixels in partial image B, which captures the same location in the eye region. The image information may be identified in any suitable partial image B. For example, partial image B may be provided by a different camera than the one that provided partial image A. In another example, partial image B may be provided by the same camera, but partial image B may have been taken before or after partial image A. In yet another example, partial image B may contain default eye image information.

[0053] In step 122, the computer 26 corrects the reflected pixels using the identified image information to reduce the reflection. The reflected pixels can be corrected by any suitable method. For example, the computer 26 may replace the reflected pixels with corrected pixels. As another example, the computer 26 may apply an averaging function to the reflected pixels and the corrected pixels. As yet another example, the computer 26 may use the corrected pixels to generate a corrected overlay and place the corrected overlay on top of the reflected pixels.

[0054] The components of the systems and apparatus disclosed herein (such as control computers) may include interfaces, logic, and / or memory, any of which may include computer hardware and / or software. Interfaces can receive inputs to and / or transmit outputs from components and are typically used to exchange information between, for example, software, hardware, peripherals, users, and combinations thereof. User interfaces are a type of interface that a user can use to communicate with a computer (for example, to send inputs to and / or receive outputs from a computer). Examples of user interfaces include displays, graphical user interfaces (GUIs), touchscreens, keyboards, mice, gesture sensors, microphones, and speakers.

[0055] Logic can perform the actions of components. Logic may include one or more electronic devices that process data, for example, by executing instructions to produce an output from an input. Examples of such electronic devices include computers, processors, microprocessors (e.g., central processing units (CPUs)), and computer chips. Logic may also include computer software that encodes instructions that can be executed by the electronic devices to perform actions. Examples of computer software include computer programs, applications, and operating systems.

[0056] Memory may include tangible, computer-readable and / or computer-executable storage media capable of storing information. Examples of memory include computer memory (e.g., random access memory (RAM) or read-only memory (ROM)), mass storage media (e.g., hard disks), removable storage media (e.g., compact discs (CDs) or digital video or versatile discs (DVDs)), databases, network storage (e.g., servers), and / or other computer-readable media. Specific embodiments may relate to memory encoded in computer software.

[0057] While this disclosure has described certain embodiments, modifications to these embodiments (e.g., changes, substitutions, additions, omissions, and / or other modifications) will be obvious to those skilled in the art. Therefore, modifications to embodiments can be made without departing from the scope of the invention. For example, modifications can be made to the systems and apparatus disclosed herein. As will be obvious to those skilled in the art, the components of the systems and apparatus may be integrated or separated, or the operation of the systems and apparatus may be performed by more components, fewer components, or other components. Another example is the modification of the methods disclosed herein. As will be obvious to those skilled in the art, the methods may include more steps, fewer steps, or other steps, and the steps may be performed in any suitable order.

[0058] To assist the Patent Office and readers in interpreting the claims, the applicants note that, unless the terms “means for” or “steps for” are expressly used in a particular claim, no claim or claim element is intended to be subject to Section 112(f) of the U.S. Patent Act. The applicants understand that any other terms used in the claims (e.g., “mechanism,” “module,” “device,” “unit,” “component,” “element,” “member,” “apparatus,” “machine,” “system,” “processor,” or “controller”) refer to structures known to those skilled in the art and are not intended to be subject to Section 112(f) of the U.S. Patent Act.

Claims

1. An ophthalmic system for imaging an eye region including at least one eye, A camera system comprising a plurality of cameras configured to generate a plurality of partial images of the eye region, wherein each camera is positioned at a certain location in relation to the eye region and configured to generate a partial image from the plurality of partial images, A light fixture positioned at a certain location in the eye region and configured to direct light towards the eye region, It is a computer, The camera system receives the plurality of partial images, the plurality of partial images including a first partial image and a second partial image, the first partial image is provided by a first camera, and the second partial image is provided by a second camera. Identifying one or more reflective pixels in the first partial image, the reflective pixels image the reflection of light from the illuminator reflected at a certain position in the eye region. The image information of one or more correction pixels in the second partial image is identified, and the correction pixels image the same position in the eye region. The identified image information is used to correct the reflected pixels and reduce the reflection. A computer configured as follows, An ophthalmic system including

2. The ophthalmic system according to claim 1, wherein the plurality of cameras include a set of stereo cameras arranged symmetrically around the system axis of the camera system.

3. The aforementioned computer, Detecting one or more light-saturated pixels as one or more reflective pixels. The ophthalmic system according to claim 1, configured to identify one or more reflective pixels of the first partial image by means of the above.

4. The aforementioned computer, Identifying one or more reflective pixels according to the location of the illuminator with respect to the eye region and the location of the first camera with respect to the eye region. The ophthalmic system according to claim 1, configured to identify one or more reflective pixels of the first partial image by means of the above.

5. The aforementioned computer, Receiving eye-tracking information that describes the aforementioned eye movements, Identifying the one or more reflective pixels in accordance with the previous position of the one or more reflective pixels and the movement of the eye. The ophthalmic system according to claim 1, configured to identify one or more reflective pixels of the first partial image by means of the above.

6. The ophthalmic system according to claim 1, wherein the first camera is separate from the second camera, the first camera is located in a first location relating to the eye region, and the second camera is located in a second location relating to the eye region, which is different from the first location.

7. The ophthalmic system according to claim 1, wherein the first camera is the same as the second camera, and the second partial image is provided before the first partial image.

8. The ophthalmic system according to claim 1, wherein the second partial image includes default eye image information.

9. The computer uses the identified image information to: Replacing one or more reflective pixels with one or more correction pixels. The ophthalmic system according to claim 1, configured to correct the reflected pixels by...

10. The computer uses the identified image information to: Applying an averaging function to one or more reflective pixels and one or more corrected pixels. The ophthalmic system according to claim 1, configured to correct the reflected pixels by...

11. The computer uses the identified image information to: A correction overlay is generated using one or more correction pixels, The correction overlay is superimposed on one or more of the aforementioned reflected pixels. The ophthalmic system according to claim 1, configured to correct the reflected pixels by...

12. An ophthalmic system for imaging an eye region including at least one eye, A camera system comprising a plurality of cameras configured to generate a plurality of partial images of the eye region, wherein each camera is positioned at a certain location in relation to the eye region and configured to generate a partial image from the plurality of partial images, It is a computer, The camera system receives the plurality of partial images, the plurality of partial images including a first partial image and a second partial image, the first partial image is provided by a first camera, and the second partial image is provided by a second camera. One or more target pixels are identified in the first partial image, and the target pixels image the position of the eye region. The image information of one or more correction pixels in the second partial image is identified, and the correction pixels image the same position in the eye region. The target pixel is corrected using the identified image information. A computer configured as follows, An ophthalmic system including

13. The ophthalmic system according to claim 12, wherein the plurality of cameras include a set of stereo cameras arranged symmetrically around the system axis of the camera system.

14. The aforementioned computer, To detect one or more light-saturated pixels as one or more target pixels. The ophthalmic system according to claim 12, configured to identify one or more target pixels of the first partial image by means of the above.

15. The aforementioned computer, Receiving eye-tracking information that describes the aforementioned eye movements, Identifying the one or more target pixels in accordance with the previous position of the one or more target pixels and the movement of the eye. The ophthalmic system according to claim 12, configured to identify one or more target pixels of the first partial image by means of the above.

16. The ophthalmic system according to claim 12, wherein the first camera is separate from the second camera, the first camera is located at a first location relating to the eye region, and the second camera is located at a second location relating to the eye region, different from the first location.

17. The ophthalmic system according to claim 12, wherein the first camera is the same as the second camera, and the second partial image is provided before the first partial image.

18. The ophthalmic system according to claim 12, wherein the second partial image includes default eye image information.

19. The computer uses the identified image information to: Replacing one or more target pixels with one or more correction pixels. The ophthalmic system according to claim 12, configured to correct the target pixel by means of the following.

20. The computer uses the identified image information to: Applying an averaging function to the one or more target pixels and the one or more correction pixels. The ophthalmic system according to claim 12, configured to correct the target pixel by means of the following.

21. The computer uses the identified image information to: A correction overlay is generated using one or more correction pixels, The correction overlay is superimposed on one or more target pixels. The ophthalmic system according to claim 12, configured to correct the target pixel by means of the following.

Images