Abstract:
An image processing device includes an image acquisition section, a distance information acquisition section, a motion detection section that detects motion information about a local motion of an object, a classification section that performs a classification process that classifies a structure of the object based on a distance information, and an enhancement processing section that. excludes a pixel or an area within the captured image for which it has been determined that the motion amount of the object is larger than a threshold value based on the motion information from the target of the enhancement process based on a classification result, or decreases the enhancement level of the enhancement process applied to the pixel or the area within the captured image as the motion amount of the object within the pixel or the area increases based on the motion information.
Abstract:
An image processing device includes an image acquisition section that acquires a captured image that includes an image of an object, the captured image being an image captured by an imaging section, a distance information acquisition section that acquires distance information based on the distance from the imaging section to the object when the imaging section captured the captured image, an irregularity information acquisition section that acquires extracted irregularity information from the acquired distance information, the extracted irregularity information being information that represents irregular parts extracted from the object, and an enhancement section that performs an enhancement process on an enhancement target, the enhancement target being an irregular part that is represented by the extracted irregularity information and agrees with characteristics specified by known characteristic information, the known characteristic information being information that represents known characteristics relating to the structure of the object.
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:
Provided is an image-processing portion including: a fat-region setting portion that detects fat-region information that indicates a fat region in which fat exists in a biological-tissue image; a blood-region-information detecting portion that detects blood-region information that indicates a blood region in which blood exists in the biological-tissue image; a confidence-calculating portion that calculates a confidence for the fat-region information on a basis of the fat-region-information detected by the fat-region setting portion and the blood-region-information detected by the blood-region-information detecting portion; and a display-form setting portion that manipulates the fat region indicated by the fat-region information for which the calculated confidence calculated by the fat-region confidence-calculating portion is lower than a reference confidence that serves as a reference so as to have a display form that can be distinguished from a peripheral region.
Abstract:
An endoscope system includes an image acquisition section, an attention area setting section, and a dimming control section. The image acquisition section acquires a captured image that includes an object image. The attention area setting section sets an attention area within the captured image based on information from the endoscope system. The dimming control section performs a dimming control process that controls the intensity of illumination light based on the attention area set by the attention area setting section.
Abstract:
For the purpose of allowing fat to be stably distinguished irrespective of individual differences, so as to prevent damage to nerves that surround a target organ, an image processing device includes: a fat-image-region extracting unit that extracts a fat-image region that indicates a region, in a living-tissue image, where fat exists; a fat-color-component detecting unit that detects a fat-color-component amount that determines the color of fat, from the fat-image region extracted by the fat-image-region extracting unit; and a correction unit that corrects the signal intensity of the fat-image region extracted by the fat-image-region extracting unit on the basis of the fat-color-component amount detected by the fat-color-component detecting unit.
Abstract:
An endoscope apparatus includes a processor including hardware. The processor is configured to implement an image acquisition process that acquires a plurality of in vivo images; an in-focus evaluation value calculation process that calculates an in-focus evaluation value that represents a degree of in-focus corresponding to each of the plurality of in vivo images; a focus control process that controls a focus operation of an imaging optics by performing a control process that switches a position of a focus adjustment lens included in the imaging optics between a plurality of discrete positions based on the in-focus evaluation value; and a freeze image setting process that selects at least one in vivo image from the plurality of in vivo images based on the degree of in-focus represented by the in-focus evaluation value, and sets the selected at least one in vivo image to be a freeze image.
Abstract:
An endoscope system includes an image acquisition section, an attention area setting section, and a dimming control section. The image acquisition section acquires a captured image that includes an object image. The attention area setting section sets an attention area within the captured image based on information from the endoscope system. The dimming control section performs a dimming control process that controls the intensity of illumination light based on the attention area set by the attention area setting section.