Nikon Corporation

Optos Plc

Yasushi Tanabe

Mariko Hirokawa

Tomoharu Fujiwara

Daishi Tanaka

Makoto Ishida

Praveen Cheriyan Ashok

Alan Anderson

Hiroshi Kintou

Mariko Mukai

Tadashi Umezaki

An enhancement image processing section performs enhancement image processing on a fundus image of a subject eye to enhance vascular portions (). A prediction processing section predicts a non perfusion area in the fundus image that has been subjected to the enhancement image processing (to). A generation section generates a non perfusion area candidate image ().

Image processing method, image processing program, image processing device, image display device, and image display method

An image processing method including acquiring a fundus image, extracting a first area including a first feature from the fundus image, extracting a second area including a second feature different from the first feature from the fundus image, and generating a combined image in which the extracted first area and the extracted second area are combined.

Image processing method, image processing device, and image processing program

A processor acquires a fundus image, generates a choroidal vascular image from the fundus image, and detects a watershed of a choroidal vascular network in the choroidal vascular image.

Image processing method, image processing device, and program

A processor divides a fundus region of an ultra-wide field fundus image into plural areas including at least a first area and a second area, generates first attribute information indicating an attribute of the first area and second attribute information indicating an attribute of the second area, and generates first mode instruction information to instruct display of the first area in a first mode corresponding to the first attribute information, and generates second mode instruction information to instruct display of the second area in a second mode corresponding to the second attribute information.

An image processing method, including: by a processor: acquiring a fundus image; performing a first enhancement processing on an image of at least a central region of the fundus image, and performing a second enhancement processing, which is different from the first enhancement processing, on an image of at least a peripheral region of the fundus image that is at a periphery of the central region; and generating an enhanced image of the fundus image on the basis of a first image obtained as a result of the first enhancement processing having been performed and a second image obtained as a result of the second enhancement processing having been performed.

In the present invention, vortex vein positions are detected from a fundus image. The image processing method comprising: a step in which a choroidal blood vessel structure is analyzed from a fundus image; and a step in which vortex vein positions are detected based on the choroidal blood vessel structure.

Image processing method, program, image processing device, and ophthalmic system

An image processing method includes acquiring a first direction fundus image imaged in a state in which an examined eye is directed in a first direction, and a second direction fundus image imaged in a state in which the examined eye is directed in a second direction different to the first direction, generating a combined image for analyzing a fundus-peripheral portion of the examined eye by combining the first direction fundus image and the second direction fundus image, and outputting the combined image.

Systems and methods for combining fundus images of an eye

An image signal output device including an acquisition section configured to acquire a fundus image, a selection section configured to select a projection for displaying the acquired fundus image from plural projections, a conversion section configured to convert the fundus image into the selected projection, and a processing section configured to output an image signal of the converted fundus image.

Image signal output device and method, and image data conversion device, method, and program

An image processing method includes acquiring a three-dimensional image of a subject eye and a two-dimensional image of the subject eye, specifying a first reference point in the three-dimensional image, specifying a second reference point in the two-dimensional image, and generating a superposed image. In the superposed image, the first reference point in the three-dimensional image is coordinated with the second reference point in the two-dimensional image and the two-dimensional image is superposed with at least a portion of the three-dimensional image.

Image processing method, image processing device and program memory medium

A non perfusion area is detected from a fundus image. A fundus image is acquired, a first non perfusion area in a first region of the fundus is extracted from the fundus image, and a second non perfusion area in a second region of the fundus is extracted from the fundus image.

Image processing method, image display method, image processing device, image display device, image processing program, and image display program

A first image is projective transformed into a reference image by using a projective transformation matrix on each pixel of the first image. A projective transformation matrix for transforming a tilted image n into a central image Gis computed based on positions of combinations of twelve corresponding points indicated in a combination of the central image Gwith the tilted image n. The computed projective transformation matrix is then employed to perform a projective transformation of the tilted image n. A projective-transformed tilted image nis created thereby.

Image processing method, program, and image processing device

Data is computed in order to visualize the velocity of blood fluid flowing through a blood vessel at a fundus. An image processing method includes a step of performing registration of each frame in a moving image configured by plural frames of an imaged fundus, and a step of computing visualization data enabling visualization of a state of blood fluid flowing through a blood vessel at the fundus based on a pixel value in each of the registered frames.

Predicting a non perfusion area. An enhancement image processing section performs enhancement image processing on a fundus image of a subject eye to enhance vascular portions (). A prediction processing section predicts a non perfusion area in the fundus image that has been subjected to the enhancement image processing (to). A generation section generates a non perfusion area candidate image ().

A feature value related to a positional relationship between a vortex vein position and a characteristic point on a fundus image is computed. The image processing method provided includes a step of analyzing a choroidal vascular image and estimating a vortex vein position, and a step of computing a feature value indicating a positional relationship between the vortex vein position and a position of a particular site on a fundus.

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Fujisawa, Japan

Yasushi Tanabe