Abstract:
An endoscope apparatus includes a processor. An image signal includes a first image signal corresponding to first light and a second image signal corresponding to second light. The processor determines at least one of whether or not a submucosa region or a bleeding region is included in an image based on the image signal. In a case where the submucosa region is included, the processor performs conversion processing that increases a combination ratio of the second image signal to the first image signal in an image region including the submucosa region, and allocates a combined image signal to a G-channel. In a case where the bleeding region is included, the processor performs conversion processing that increases a combination ratio of the first image signal to the second image signal in an image region including the bleeding region, and allocates the combined image signal to the G-channel.
Abstract:
An endoscope apparatus includes an illumination device emitting a plurality of lights with different wavelength bands at least two different timings in time series, and a processor including hardware. The plurality of lights includes a first light and a second light. The processor is configured to generate a highlighted image in which a specific structure under a mucus membrane is highlighted, based on a plurality of images obtained by the emission of the plurality of lights. The illumination device emits the first light and the second light continuously. The first light has a first wavelength band corresponding to a luminance component of the highlighted image. The second light has a second wavelength band that enables capturing of an image of the specific structure with higher contrast than the first light.
Abstract:
A disclosed image processing apparatus includes a processor comprising hardware, the processor being configured to obtain a plurality of temporally continuous images generated by continuously imaging a subject illuminated with illumination light; calculate a correction coefficient on the basis of a correction target frame among the plurality of images; revise the correction coefficient of the correction target frame on the basis of the correction coefficient of each of a plurality of frames within a predetermined time set beforehand from a shooting time of the correction target frame; and create a display image on the basis of the correction target frame and the correction coefficient.
Abstract:
An image processing apparatus includes an abnormal candidate region detection unit configured to detect an abnormal candidate region, as a candidate for an abnormal portion, from an intraluminal image obtained by capturing an image of an inside of a lumen of a subject, a tubular region detection unit configured to detect a tubular region from the intraluminal image, a connectivity determination unit configured to determine whether the abnormal candidate region and the tubular region are connected in a region of a color similar to that of the tubular region, and an abnormality determination unit configured to determine whether the abnormal candidate region is the abnormal portion, based on results of determination by the connectivity determination unit.
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 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 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 includes: an image acquiring unit configured to acquire a plurality of images at different imaging time which images are captured when illumination light in different wavelength bands is emitted; and a processor including hardware. The processor is configured to generate a low-resolution image by lowering resolution of at least one image in the plurality of images, and detect light-absorption information at a certain depth based on a correlation between images which are in an image group including the low-resolution image and the plurality of images, which are captured with the illumination light in different wavelength bands, and at least one of which is the low-resolution image.
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:
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.