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 gradient magnitude calculating unit that calculates a gradient magnitude of each pixel on the basis of pixel values of a target image in which a predetermined target object is imaged; a candidate-edge detecting unit that detects contour-candidate edge positions on the basis of the gradient magnitude of each pixel; a reference-range setting unit that sets a reference range, which is to be referred to when a contour edge position is selected from among the contour-candidate edge positions, on the basis of the gradient magnitude of each pixel; and a contour-edge selecting unit that selects, as the contour edge position, one of the contour-candidate edge positions in the reference range.

Abstract: An image processing apparatus includes a gradient strength calculating unit that calculates a gradient strength of respective pixel values based on an intraluminal image; an extracting unit that extracts a closed region satisfying conditions that the pixel of which gradient strength is a predetermined value or more is not included in the region and a boundary of the region does not bend with a predetermined curvature or higher toward an inner side of the region; and a detecting unit that detects an abnormal portion inside the region. The extracting unit includes a setting unit that sets an initial shape of the region; an energy calculating unit that calculates values of types of energy including at least energies determined respectively by an outer shape of the region and the gradient strength; and an energy-weighted sum calculating unit that calculates a weighted sum of the types of energy.

Abstract: An apparatus includes a calculating unit that calculates gradient strength of respective pixel values based on an intraluminal image, an extracting unit that extracts a closed region from the image, and a detecting unit that detects an abnormal portion of the closed region. The closed region satisfies conditions that the pixel of which gradient strength is a predetermined value or more is not included in the closed region and a boundary of the closed region does not bend with predetermined curvature or higher toward an inner side of the closed region. The extracting unit includes a setting unit that sets an initial closed region based on the gradient strength, an energy calculating unit that calculates values of types of energies based on an outer shape of the closed region and the gradient strength, and an energy weighted-sum calculating unit that calculates a weighted sum of the types of energy.

Abstract: An image processing apparatus includes an approximate value calculating unit that calculates an approximate value that becomes consecutive inside an examination area for a pixel value of each pixel of the examination area based on the pixel value inside an image, a validity evaluating unit that evaluates whether the approximate value is valid on the pixel value, an area dividing unit that divides the examination area with the approximate value that is evaluated as being invalid, an examination area re-setting unit that sets each divided area obtained by the area dividing unit as a new examination area and controls a repetition of processing, and an abnormal portion detecting unit that detects an abnormal portion based on the pixel value inside the image and the approximate value that has been evaluated as being valid by the validity evaluating unit.

Abstract: In an image processing apparatus which processes time-series images picked up by an imaging device in time series, a motion-vector calculating unit calculates a motion vector between plural images constituting the time-series images with respect to plural pixel regions set in the image. A newly-appearing-rate estimating unit estimates a newly-appearing rate which is a rate of a region newly appears in an image between plural images based on the motion vector. A display-time determination coefficient calculating unit calculates a display time of an image according to the newly-appearing rate.

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.

Abstract: An image processing apparatus includes a reference surface generating unit that generates a reference surface indicating a reference value of each of a plurality of color elements of pixels constituting an intraluminal image at a pixel position of the each color element by performing a morphology process using pixel values of the color elements; and an abnormal area detecting unit that detects an abnormal area from the intraluminal image based on a difference for each of the color elements between the pixel value of each pixel and the reference surface.

Abstract: An image processing apparatus includes: an area extracting unit that extracts a candidate area of a classification target area in which a pixel value does not correspond to a three-dimensional shape of an imaging target based on pixel values of an intraluminal image acquired by imaging the inside of a lumen or information of a change in pixel values of peripheral pixels; and an area classifying unit that classifies the classification target area out of the candidate area based on the pixel values of the inside of the candidate area, a boundary portion of the candidate area, or a periphery portion of the candidate area.

Abstract: An image processing apparatus includes: a first judging unit that determines an unnecessary candidate region, on a basis of first feature data based on color information of an intraluminal image; and a second judging unit that judges whether the unnecessary candidate region is an unnecessary region, based on second feature data, which is different from the first feature data, of the unnecessary candidate region.

Abstract: An image processing apparatus includes an identification criterion creating unit that creates an identification criterion so as to enable identification of specific regions in a target image to be processed that is selected in chronological order from among images constituting a set of time-series images; includes a feature data calculating unit that calculates the feature data of each segmented region in the target image to be processed; and includes a specific region identifying unit that, based on the feature data of each segmented region, identifies the specific regions in the target image to be processed by using the identification criterion. Moreover, the identification criterion creating unit creates the identification criterion based on the pieces of feature data of the specific regions identified in the images that have been already processed.

Abstract: An image processing apparatus includes: a gradient information calculating unit that calculates gradient information of each of pixels, based on pixel values of an intraluminal image; a closed region creating unit that, based on the gradient information, creates a closed region satisfying a condition where the closed region does not include, on the inside thereof, any pixel of which the gradient strength is equal to or higher than a predetermined value, and also, the boundary of the closed region does not curve toward the interior of the closed region, with a curvature equal to or larger than a predetermined value; and an abnormal part detecting unit that detects an abnormal part from the inside of the closed region.

Abstract: It is an object of the present invention to suppress such a situation that electric power selling becomes impossible while the deterioration of supply power is prevented. The electric power selling system of the present invention comprises a solar battery 3 as a power generator, and a control unit 7 which is connected with the solar battery 3 and a distribution line and configured to convert output voltage of the solar battery 3 into variable voltage for electric power selling. The electric power selling system further comprises a transmitter 60 connected with the distribution line, said transmitter 60 being configured to measure voltage of the distribution line and to supply the control unit 7 with an instruction value obtained based on the measured voltage value. The control unit 7 is configured to convert the output voltage of the solar battery 3 into the voltage for electric power selling based on the instruction value.

Abstract: An image processing apparatus includes: a model estimator that models gradient variations of pixel values in an image of a captured object, which is an in-vivo image, according to the pixel values in the image; and an abnormality candidate detector that detects an abnormality candidate area on the object shown in the image according to a difference between a pixel value of each pixel constituting the image and an estimated pixel value of each pixel, the estimated pixel value being determined according to the modeled gradient variations of the pixel values.

Abstract: At the time of insert molding of suspension bases (500), areas of junction parts of the suspension bases (500) and flat plates (560) which are directly affected by fluidized synthetic resin when the synthetic resin is injected are varied independently so as to correct strain of suspensions (550).

Abstract: An image processing apparatus includes a suspected-lesion-region extracting unit that extracts a suspected lesion region from an in-vivo image that is obtained by taking an image of inside of body; a groove determining unit that determines whether the suspected lesion region is a region corresponding to a shadow of a groove that is formed between in-vivo organ walls; and a lesion-region extracting unit that extracts a lesion region using the suspected lesion region and a result of determination by the groove determining unit.

Abstract: An image processing apparatus for performing an image processing on a body cavity image captured in a living body includes: a storage unit which stores information including image information of the body cavity image; a change amount calculator which reads out the image information of the body cavity image from the storage unit and calculates, in the read body cavity image, a pixel value change amount of a pixel of interest with a plurality of surrounding pixels located around the pixel of interest; and a candidate lesion region detector which detects a candidate lesion region in the body cavity image based on calculation result of the change amount calculator.

Abstract: An image processing apparatus includes an image storage unit that stores an image, an image display unit that sequentially displays each image, a feature-information storage unit that stores feature information of each image, a feature-information display unit that displays the feature information, a skip indicator receiving unit that receives a skip indicator, which is an indicator set in relation to the feature information to skip a display of the image on the image display unit, a skip instruction receiving unit that receives an instruction to skip the image displayed on the image display unit, and an image display control unit that controls the image display unit to skip the image displayed on the image display unit according to the feature information and based on the skip indicator when the skip instruction receiving unit receives the instruction to skip an image.

Abstract: An image information storage unit stores a series of images. A display-time-information storage unit stores display-time information which defines display time of each image. An image display control unit displays an image on an image display unit, based on the image stored in the image information storage unit and the display-time information stored in the display-time-information storage unit. Here, a display-time-information display control unit displays on a display-time-information display unit, the display-time information at least of images to be displayed in time series after an image currently displayed on the image display unit.

Abstract: In an image processing apparatus which processes time-series images picked up by an imaging device in time series, a motion-vector calculating unit calculates a motion vector between plural images constituting the time-series images with respect to plural pixel regions set in the image. A newly-appearing-rate estimating unit estimates a newly-appearing rate which is a rate of a region newly appears in an image between plural images based on the motion vector. A display-time determination coefficient calculating unit calculates a display time of an image according to the newly-appearing rate.