An information processing apparatus includes an obtaining unit, a setting unit, and a correction unit. The obtaining unit obtains a first image including a first overlap area having a first end side portion and a second image including a second overlap area having a second end side portion. The setting unit sets a first reference line that forms a first division area in the first overlap area and a second reference line that forms a second division area in the second overlap area. The correction unit executes corrections for the first overlap area, the first division area, and the second division area with the first reference line, the first end side portion, and the second end side portion respectively, the corrections being based on shapes of the first and second overlap areas and based on projection of the first image and the second image.

An image processing apparatus comprising: an image obtaining unit obtaining a first image and a second image different from the first image; a deformation information obtaining unit obtaining deformation information representing deformation between the first image and the second image; a deformed image generating unit generating a first deformed image of the first image deformed in accordance with the second image and a second deformed image of the second image deformed in accordance with the first image; and a display controlling unit displaying the first image, the second image, an image based on the first deformed image, and an image based on the second deformed image is used.

A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

Methods, systems, and non-transitory computer readable storage media are disclosed for modifying paths in digital vector images according to similar path geometries in the digital vector images. The disclosed system generates a path cache comprising path information for a plurality of connected path sets within a digital image. The disclosed system also determines, from the plurality of connected path sets, one or more candidate path sets including path information in the path cache within a threshold error of path information of a selected connected path set including an anchor point in the digital image. The disclosed system modifies, utilizing the path cache, the path information of the selected connected path set utilizing path information of a candidate path set of the one or more candidate path sets.

A system, method, and computer program product are provided for adjusting vertex positions. One or more viewport dimensions are received and a snap spacing is determined based on the one or more viewport dimensions. The vertex positions are adjusted to a grid according to the snap spacing. The precision of the vertex adjustment may increase as at least one dimension of the viewport decreases. The precision of the vertex adjustment may decrease as at least one dimension of the viewport increases.

A method includes receiving a first image and a plurality of other images of a planar surface of a specimen. The method also includes identifying first scale-invariant features in the first image. The first scale-invariant features are based on a scale-invariant feature transform of the first image. The method includes storing the first scale-invariant features in a grouping. The method includes, for each respective image of the plurality of other images, identifying scale-invariant features based on a scale-invariant feature transform of the respective image; matching the scale-invariant features to the grouping; based on the matching, determining a planar homography of the respective image with respect to the grouping; and adding the scale-invariant features of the respective image to the grouping. The method also includes stitching the first image and the plurality of other images into a composite image based on the planar homographies. A field of view of the specimen in the composite image is greater than a field of view of at least one of the first image or the plurality of other images.

An information processing apparatus includes an obtaining unit, a setting unit, and a correction unit. The obtaining unit obtains a first image including a first overlap area having a first end side portion and a second image including a second overlap area having a second end side portion, the second overlap area being overlapped with the first overlap area. The setting unit sets a first reference line that forms a first division area in the first overlap area with the first division area sandwiched between the first reference line and the first end side portion, and sets a second reference line that forms a second division area in the second overlap area with the second division area sandwiched between the second reference line and the second end side portion, the second reference line being superimposed on the first reference line. The correction unit performs a first correction for the first overlap area with the first reference line as a reference, a second correction for the first division area with the first end side portion as a reference, and a third correction for the second division area with the second end side portion as a reference, the corrections being based on shapes of the first and second overlap areas when the first image and the second image are projected.

Disclosed is a method and a system for obtaining and analyzing image pairs, obtained as sections of specimen. The invention facilitates registration of two corresponding images, one from each section of the specimen. The invention includes performing a registration process of the two images thereby obtaining a mathematical transformation rule and afterwards using said transformation rule for each image field identified in one image allowing that the corresponding image field in the other image may be identified as well. After the corresponding image pairs have been obtained using the method of the present invention, the sections can be assessed, such as by identifying the counting events for at least one type of object on the image fields within at least one corresponding image pair, optionally using automatic means.

An image processing apparatus according an exemplary embodiment of the present invention estimates for a plurality of positions in a target image an estimated value of an error in registration for acquiring a third three-dimensional image by deforming at least one of a first three-dimensional image of a subject and a second three-dimensional image, one of the three-dimensional images being the target image, designates a cross section in the target image, acquires a statistical value of the error in the designated cross section based on the estimated value estimated for a plurality of positions in the cross section, and displays the statistical value.