The present invention relates to accurately determining a contour of a depolarizing region.

An image processing apparatus extracts a depolarizing region in a polarization-sensitive tomographic image of a subject's eye, and detects, in a tomographic intensity image of the subject's eye, a region corresponding to the extracted depolarizing region. The tomographic intensity image corresponds to the polarization-sensitive tomographic image,

Provided is an image processing apparatus configured to process an image of a fundus of an eye, which is capable of simply and accurately measuring a distribution of cells that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; and a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points.

The tomographic image capturing device of the present invention includes a tomographic image capturing means that scans measurement light on a subject's eye fundus (E) to capture tomographic images of the subject's eye fundus and an image processing means that compresses a picture of the captured tomographic images in a scan direction to generate a new tomographic picture. The tomographic image capturing means performs scan at a second scan pitch (P.sub.L) narrower than a first scan pitch (P.sub.H) to capture the tomographic images of the subject's eye fundus. The image processing means compresses the picture (B11) of the tomographic images captured at the second scan pitch (P.sub.L) in the scan direction to generate the new tomographic picture (B12). The measurement width in the scan direction of the new tomographic picture (B12) is a width of a picture corresponding to a measurement width in the scan direction of a tomographic picture (Bn (n=1 to 10)) obtained by scan at the first scan pitch (P.sub.H).

The present technology relates to an image processing device, a method of image processing, and a surgical microscope that can detect and report a dangerous condition on the basis of a tomographic image during eye surgery. An image processing device includes: a dangerous condition detection unit configured to detect a dangerous condition on the basis of a tomographic image of an eye acquired during surgery of the eye; and a control information generation unit configured to generate and output control information used to manage the detected dangerous condition. The present technology is applicable to, for example, a surgical system used for eye surgery or other surgical procedures.

A method of laser eye surgery including linking retinal vessel architecture to corneal topography. This enables registration of the steep axis of the cornea in order to orient a toric intraocular lens, and/or to place astigmatic keratotomy incisions. First, a detailed pre-operative retinal image of the vasculature of the retina is obtained. In addition, a pre-operative image of the topography of the eye is obtained. The retinal image is then correlated or superimposed on the topography image to provide a reference. After the patient lies down under the laser eye surgery system, and during the surgery, the retinal vasculature is monitored which provides a reference to the surgery system about the topography of the eye. This process enables registration of the steep axis of the cornea in order to orient a toric intraocular lens and/or to place astigmatic keratotomy incisions.

An optical coherence tomography (OCT) system using partial mirrors is generally described. In an example, the OCT system includes a swept light source. The system further includes an interferometer into which light from the light source is directed and a detector configured to produce an imaging sample signal based on light received from the interferometer. The system also includes a partial mirror disposed over an aperture, wherein the partial mirror is configured to transmit light within a first wavelength range and reflect light within a second wavelength range.

A system or method for measuring human ocular performance can be implemented using an eye sensor, a head orientation sensor, an electronic circuit and a display that presents one of virtual reality information, augmented reality information, or synthetic computer-generated 3-dimensional information. The device is configured for measuring saccades, pursuit tracking during visual pursuit, nystagmus, vergence, eyelid closure, or focused position of the eyes. The eye sensor comprises a video camera that senses vertical movement and horizontal movement of at least one eye. The head orientation sensor senses pitch and yaw in the range of frequencies between 0.01 Hertz and 15 Hertz. The system uses a Fourier transform to generate a vertical gain signal and a horizontal gain signal.

Described is a system that provides a vision test that may be implemented on various types of devices including a personal device such as a smartphone. The system may track potential vision abnormalities across an extended period of time by utilizing a comparison algorithm to compare results of vision tests to automatically determine whether the vision abnormality such as macular degeneration has progressed for a patient. Accordingly, the system provides an effective tool that may be deployed across a large portion of the population to provide early detection of potential vision loss.

An eye-tracking device includes an optical device that includes a light source with an optical cavity and a light sensor. The light source is positioned to output coherent light toward an eye of a user and receive at least a portion of the coherent light back from the eye of the user as feedback light. The feedback light enters the optical cavity and causes modulation of an intensity of the coherent light. The light sensor is optically coupled with the light source for detecting the modulated intensity of the coherent light and generating one or more signals based on the detected intensity of the coherent light. The eye-tracking device also includes one or more processors that are coupled to the optical device for determining, from the one or more signals, movement information of the eye. A method of detecting movement of an eye using the eye-tracking device is also disclosed.

Accurate measurement of pupillary distance, PD, is necessary to make prescription eye glasses as well as configuring VR headsets, and using other binocular optical devices. Today, many people are ordering eyeglasses on line and obtaining their PD is often problematic for a number of reasons as the prior art fails to provide consumer friendly PD measurement systems. A disclosed eyeglass frame system comprises reference marks of known locations upon the frames. A smart phone may be used to locate the consumer's pupils, while the consumer is wearing the frames. The consumer's pupils may be marked or tagged upon a digital image of the consumer wearing the frames. By use of angles in the sight lines of the camera lens and other variable values and the known relative distances of the frame markings, a consumer's pupillary distance can be quickly and accurately derived.