Abstract: An image processing apparatus includes: an abnormality candidate region identifying unit configured to identify a candidate region for an abnormality from an image obtained by imaging inside of a lumen of a living body; a surrounding region determining unit configured to determine a surrounding region surrounding the candidate region; a shape information calculating unit configured to calculate shape information of the candidate region and shape information of the surrounding region in a depth direction with respect to a screen; and an abnormality region determining unit configured to determine whether or not the candidate region is an abnormality, based on a correlation between the shape information of the candidate region and the shape information of the surrounding region.

Abstract: An image processing device includes: an image acquisition unit configured to acquire images including at least one narrow-band image and having different wavelength component distributions from one another; an absorption information extracting unit configured to extract absorption information from a first image on the basis of a specific frequency component in the first image and correlation between the first image and a second image, the first image being a narrow-band image among the images, the second image being an image different from the first image among the images, the absorption information being image information indicating a change in absorption caused by absorption of narrow-band light used in capturing of the first image by a light absorber; and a display image generating unit configured to generate an image for display by combining the absorption information with at least any one of the images.

Abstract: An image processing apparatus includes: an imaging distance estimating unit configured to estimate an imaging distance to a subject shown in an image; an examination region setting unit configured to set an examination region in the image such that an index indicating a spread of a distribution of imaging distances to the subject shown in the examination region is within a given range; and an abnormal structure identifying unit configured to identify whether or not a microstructure of the subject shown in the examination region is abnormal, by using texture feature data that enables identification of an abnormality in the microstructure of the subject shown in the examination region, the texture feature data being specified according the examination region.

Abstract: An image processing apparatus includes: a narrowband image acquisition unit configured to acquire a narrowband image showing inside of a lumen; a white light image acquisition unit configured to acquire a white light image showing the inside of the lumen; and a composite image generation unit configured to combine information of the narrowband image to the white light image, according to a depth of a submucosal object, to generate a composite image for display.

Abstract: Example embodiments of the present invention relate to an image processing apparatus. The apparatus may include a processor and memory storing instructions that when executed on the processor cause the processor to perform the operations of detecting a deep region of a duct in an image and extracting a plurality of contour edges of an inner wall of the duct in the image. The apparatus then may identify a plurality of convex regions among the plurality of contour edges, analyze a respective curvature of each of the plurality of convex regions to identify a convex direction for each of the plurality of convex regions, and detect, as an abnormal region, a convex region having a convex direction directed toward the deep region.

Abstract: An image processing apparatus performs positioning between a plurality of spectral band images obtained by capturing images inside a lumen using a plurality of rays of light having wavelength bands different from one another. The image processing apparatus includes: a spectral band image acquisition unit configured to acquire the spectral band images; a spatial frequency component extraction unit configured to extract feature data for each spatial frequency band from each pixel in at least one spectral band image of the spectral band images; a weight calculation unit configured to calculate weights for each spatial frequency band given to the at least one spectral band image, based on the feature data for each spatial frequency band extracted from each pixel in the at least one spectral band image; and a positioning unit configured to perform positioning between the spectral band images based on the weights for each spatial frequency band.

Abstract: An image processing apparatus processes an image obtained by capturing inside of a lumen of a living body. The image processing apparatus includes: a contour edge region extracting unit configured to extract a contour edge region of an examination target from the image; an examination region setting unit configured to set an examination region in the image so as not to include the contour edge region; and an abnormal structure identifying unit configured to identify whether a microstructure of a surface of the examination target is abnormal, based on texture information of the examination region.

Abstract: An image processing device classifies a region of interest included in an image into multiple classification items. The image processing device has: an initial region detector that detects at least part of the region of interest and sets the part as an initial region; an expansion region detector that detects an expansion region by expanding the initial region; and a region determining unit that calculates feature data of the initial region and the expansion region, and determines, based on the feature data, to which of the multiple classification items the region of interest belongs.

Abstract: An image processing apparatus includes an abnormal portion candidate region detection unit configured to detect a candidate region of an abnormal portion based on color information of each pixel constituting an image obtained by capturing an image of an inside of a lumen of a subject, a border neighboring pixel identifying unit configured to identify a border neighboring pixel which is a pixel existing in proximity to a border of the candidate region, a feature data calculation unit configured to calculate feature data based on a pixel value of the border neighboring pixel, and an abnormal portion region distinguishing unit configured to distinguish an abnormal portion region based on the feature data.

Abstract: An image processing apparatus includes: a blood vessel sharpness calculation unit configured to calculate blood vessel sharpness representing sharpness of a visible vascular pattern in a mucosa region in which a mucosa in a lumen is shown in an intraluminal image; an abnormal candidate region extraction unit configured to extract a sharpness reduction region in which the blood vessel sharpness is reduced, as a candidate region for an abnormal region in which the visible vascular pattern is locally lost; and an abnormal region determination unit configured to determine whether the candidate region is the abnormal region based on a shape of the candidate region.

Abstract: An image processing apparatus includes: a blood vessel sharpness image creation unit configured to create a blood vessel sharpness image representing sharpness of a blood vessel region in which a blood vessel is shown in an intraluminal image; an abnormal candidate region extraction unit configured to extract a region in which the sharpness is decreased in the blood vessel sharpness image, as a candidate region for an abnormal region in which a visible vascular pattern is locally lost; and an abnormal region determination unit configured to determine whether the candidate region is an abnormal region, based on extension information indicating a state of the blood vessel region extending in a neighborhood of the candidate region.

Abstract: An image processing device includes: a non-target region detecting unit that detects a region that is not to be examined as a non-target region from an image; a pixel-of-interest region setting unit that sets a pixel-of-interest region in a predetermined area including a pixel-of-interest position in the image; a surrounding region determining unit that determines a surrounding region, which is an area for acquiring information for use in forming a reference plane with respect to the pixel-of-interest position, based on the non-target region; a reference plane forming unit that forms the reference plane based on the information in the surrounding region; and an outlier pixel detecting unit that detects an outlier pixel having a pixel value numerically distant from circumferential values based on a difference between corresponding quantities of the reference plane at each pixel position and of the original image.

Abstract: An image processing device includes: a candidate abnormal region determining unit that determines a candidate abnormal region from an image using a first determination criterion; a bubble region determining unit that determines a bubble region from the image; a bubble inside determining unit that determines whether the candidate abnormal region is present inside the bubble region based on a determination result of the bubble region; and an abnormal region determining unit that determines whether the candidate abnormal region is an abnormal region using a second determination criterion different from the first determination criterion when the candidate abnormal region is determined to be present inside the bubble region.

Abstract: An image processing apparatus for processing an image acquired by imaging a living body includes: a narrow-band image acquisition unit configured to acquire at least three narrow-band images with different center wavelengths from one another; a depth feature data calculation unit configured to calculate depth feature data which is feature data correlated to a depth of a blood vessel in the living body based on a difference, between the narrow-band images different from one another, in variation of signal intensity due to an absorption variation of light with which the living body is irradiated; and an enhanced image creation unit configured to create, based on the depth feature data, an image in which the blood vessel is highlighted according to the depth of the blood vessel.

Abstract: An image processing device includes: an interest area detector that detects interest areas included in a time-series image group captured in time series; a calculation processing unit that calculates feature amounts indicative of features of the interest areas; an area classification unit that classifies the interest areas into area groups, based on the feature amounts of the interest areas and time-series positions of time-series images including the interest areas; a group feature amount calculation unit that calculates a group feature amount indicative of a feature of each of the area groups; an area selection unit that selects one or more representative areas of the interest areas belonging to the area groups, from among the area groups; and a representative image output unit that outputs one or more representative images including the representative areas in the time-series image group.

Abstract: An image processing apparatus includes a probability value calculator that calculates, based on color feature data of a pixel included in an image, respective probabilities that the pixel belongs to a specific area and a non-specific area; a weighted edge intensity calculator that calculates a weighted edge intensity between neighboring pixels based on pixel values and color feature data of the pixel included in the image and a neighboring pixel of the pixel; an energy function creator that uses the probabilities and the weighted edge intensity to create an energy function expressed by a result of an area determination of the pixel; and an area divider that divides the image into the plurality of areas based on the energy function.

Abstract: An image processing apparatus processes an image obtained by capturing inside of a lumen of a living body. The image processing apparatus includes: a contour edge region extracting unit configured to extract a contour edge region of an examination target from the image; an examination region setting unit configured to set an examination region in the image so as not to include the contour edge region; and an abnormal structure identifying unit configured to identify whether a microstructure of a surface of the examination target is abnormal, based on texture information of the examination region.

Abstract: An image processing apparatus includes: a color feature data calculation unit configured to calculate color feature data of each pixel in an intraluminal image or color feature data of each small region obtained by dividing the intraluminal image into a plurality of small regions; a residue candidate distribution determination unit configured to determine, from among the color feature data, color feature data distributed on a side comparatively strong in redness to be a mucosa distribution and determine color feature data distributed on a side comparatively weak in redness to be a residue candidate distribution; and a residue distribution determination unit configured to determine, from among distributions of the color feature data determined to be the residue candidate distribution, a residue candidate distribution distributed on a side strong in yellowness with reference to the mucosa distribution to be a residue distribution.

Abstract: An image processing apparatus includes a contour-candidate-edge detecting unit that detects, as contour candidate edges, edges based on a gradient magnitude of each pixel in a target image; a contour-edge detecting unit that detect contour edges by performing thresholding on gradient magnitudes of the contour candidate edges; an interpolation-line generating unit that generates interpolation lines for connecting end points of respective end-point pairs based on gradients of pixel values between the end points while each of the end point pairs is made up of an end point of an identical contour edge as a connection base and an end point of a different contour edge as a connection destination; and a contour-edge interpolating unit that selects one of the interpolation lines based on the gradients of pixel values on the interpolation lines and interpolates a contour edge between the end points with the selected interpolation line.

Abstract: An image processing apparatus includes a low-luminance area detecting unit that detects a low-luminance area based on pixel values of pixels of the intraluminal image; a peripheral feature data calculating unit that calculates peripheral feature data based on pixel values of periphery of the low-luminance area; and a dark portion area determining unit that determines whether or not the low-luminance area is the dark portion area based on the peripheral feature data.