Abstract: A processor identifies a first position of a vortex vein from a first fundus image, identifies a second position of the vortex vein from a second fundus image, and generates data of a screen to display the first position and the second position.

Abstract: 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 G0 is computed based on positions of combinations of twelve corresponding points indicated in a combination of the central image G0 with 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 n1 is created thereby.

Abstract: An image processing method comprising acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength, and a second fundus image obtained by photographing the fundus using second light having a second wavelength that is shorter than the first wavelength; specifying, in the first fundus image, respective positions of retinal blood vessels appearing in the second fundus image; and generating a choroidal blood vessel image by processing the positions identified in the first fundus image.

Abstract: An image display method executed by a processor comprises displaying a screen including a two-dimensional fundus image of an examined eye and a three-dimensional eyeball image of the examined eye, finding a second region in the three-dimensional eyeball image that corresponds to a first region specified in the two-dimensional fundus image, and displaying a mark indicating the second region in the three-dimensional eyeball image.

Abstract: An image signal output method including outputting a first image signal to display an eyeball model selection screen for selecting one eyeball model from out of plural eyeball models of different types, converting a two-dimensional fundus image of the subject eye so as to generate a three-dimensional fundus image based on a selected eyeball model, and outputting a second image signal to display a fundus image display screen including the three-dimensional fundus image.

Abstract: 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.

Abstract: An image display method executed by a processor comprises displaying a screen including a two-dimensional fundus image of an examined eye and a three-dimensional eyeball image of the examined eye, finding a second region in the three-dimensional eyeball image that corresponds to a first region specified in the two-dimensional fundus image, and displaying a mark indicating the second region in the three-dimensional eyeball image.

Abstract: 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.

Abstract: 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 (304). A prediction processing section predicts a non perfusion area in the fundus image that has been subjected to the enhancement image processing (306 to 312). A generation section generates a non perfusion area candidate image (314).

Abstract: 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.

Abstract: 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 (304). A prediction processing section predicts a non perfusion area in the fundus image that has been subjected to the enhancement image processing (306 to 312). A generation section generates a non perfusion area candidate image (314).

Abstract: An image processing method performed by a processor and including: a step of acquiring a choroidal vascular image; a step of detecting a vortex vein position from the choroidal vascular image; a step of identifying a choroidal vessel related to the vortex vein position; and a step of finding a size of the choroidal vessel.

Abstract: A processor acquires a first fundus image of an examined eye including a foreground area and a background area other than the foreground area. The processor also generate a second fundus image by performing background processing to replace a first pixel value of a pixel configuring the background area with a second pixel value different from the first pixel value.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image processing method performed by a processor and including detecting positions of plural vortex veins in a fundus image of an examined eye, and computing a center of distribution of the plural detected vortex vein positions.

Abstract: Image processing performed by a processor and including acquiring a two-dimensional fundus image, acquiring a second point on an eyeball model corresponding to at least one first point of the two-dimensional fundus image, and creating data to represent a process to move the first point to the second point.

Abstract: 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.

Abstract: 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.