Abstract: An image processing apparatus includes a determination unit configured to determine, as a partial region of a multi-channel fundus image including an optic disk area and a macular area of a subject's eye, one of a region of the multi-channel fundus image which includes the macular area and a region of the multi-channel fundus image which includes the optic disk area, and a generation unit configured to generate an image in which a difference in color of the partial region is enhanced, by applying to the partial region image processing based on a decorrelation stretching method.

Abstract: The position of the fovea is estimated with high accuracy in a manner such that the thicknesses of a first region including at least a partial region of a region from the internal limiting membrane to the boundary between the external plexiform layer and the external granular layer and a second region including at least a partial region of a region from the boundary to the photoreceptor cell inner segment/outer segment junction are compared with each other, and the position of the fovea is estimated.

Abstract: A high-resolution image suited to the purpose of a doctor or the like is acquired. The present invention relates to an image processing apparatus including an acquisition unit configured to acquire a tomogram of a subject eye; a first extraction unit configured to extract part of the tomogram acquired by the acquisition unit; an estimating unit configured to estimate a high-frequency component based on a result of extraction by the extraction unit; and a combining unit configured to combine the high-frequency component with the tomogram acquired by the acquisition unit.

Abstract: A diagnosis support apparatus detects a finding and a position, on a diagnosis image as a diagnosis target medical image, which corresponds to the finding from the image, and searches a database storing a plurality of medical images linked to findings and diagnosis names by using the detected finding. The diagnosis support apparatus simultaneously performs or switches between the first display operation of causing a display unit to display the diagnosis image, together with the detected finding and a position on the display which corresponds to the finding and the second display operation of causing the display unit to display the found medical image, together with a diagnosis name associated with the medical image.

Abstract: An image processing apparatus includes a detecting unit configured to execute structural analysis on a tomographic image acquired by an acquiring unit and detect an abnormal portion of the eye; and a display control unit configured to cause a displaying unit to display a finding of the abnormal portion detected by the detecting unit, as a sentence or a word in a manner superimposed on the tomographic image.

Abstract: An image processing apparatus obtains an image of an eye area, determines a measurement target among multiple vascular branches based on information regarding multiple vascular branches that include multiple vascular bifurcations in the obtained image, and measures the size of a blood cell aggregate in the determined measurement target.

Abstract: An image processing apparatus acquires a tomographic image of an eye to be examined. The image processing apparatus quantifies a distortion in a region determined from the tomographic image. The region includes a photoreceptor layer or a retinal pigment epithelium.

Abstract: An image processing apparatus obtains an image of an eye area, determines a measurement target among multiple vascular branches based on information regarding multiple vascular branches that include multiple vascular bifurcations in the obtained image, and measures the size of a blood cell aggregate in the determined measurement target.

Abstract: An image processing apparatus obtains a moving image of an eye area, identifies a region of blood cells in the obtained moving image, and determines the number of determined regions of blood cells.

Abstract: An image processing apparatus acquires a tomographic image of an eye to be examined. The image processing apparatus quantifies a distortion in a region determined from the tomographic image. The region includes a photoreceptor layer or a retinal pigment epithelium.