Abstract: A method implemented by a computer for detecting a lesion, the method including: calculating, by using a first lesion detection process configured to detect a specific lesion region from three-dimensional volume data generated based on a plurality of tomographic images obtained by imaging an inside of a human body, a probability of being the specific lesion region for each of unit image areas included in each of the plurality of tomographic images; and executing, based on one tomographic image of the plurality of tomographic images and the probability calculated for each of the unit image areas included in the one tomographic image, a second lesion detection process configured to detect the specific lesion region from the one tomographic image.

Abstract: A lesion detection method for a computer to execute a process includes detecting a first lesion region that indicates a certain lesion from each of a plurality of tomographic images obtained by imaging an inside of a human body, by using a first machine learning model that detects a lesion region from an input image that has image data of a two-dimensional space; detecting a second lesion region that indicates the certain lesion from three-dimensional volume data generated based on the plurality of tomographic images, by using a second machine learning model that detects a lesion region from input volume data that has image data of a three-dimensional space; and detecting a third lesion region that indicates the certain lesion from each of the plurality of tomographic images, based on an overlapping state between the first lesion region and the second lesion region.

Abstract: A non-transitory computer-readable recording medium stores a counting program for causing a computer to execute a process including: obtaining a captured image that includes a plurality of objects; identifying a shape of an object included in a specific region of the captured image; and counting a number of the plurality of objects included in the captured image based on the identified shape.

Abstract: A non-transitory computer-readable recording medium stores a detection program for causing a computer to execute processing including, detecting a person included in a plurality of first captured images captured by a camera, determining a threshold value on the basis of a size in a height direction in the plurality of first captured images of the detected person, and detecting a target from the first captured image captured by the camera on the basis of the threshold value.

Abstract: An image processing apparatus includes an acquiring unit and a determining unit. For example, the acquiring unit acquires an imaging image captured by a camera mounted on a vehicle and registers the acquired imaging image in drive recorder information. When a vanishing point is detected from the imaging image, the determining unit determines that the imaging direction of the imaging device is normal such that the front of the vehicle is normally imaged. When the vanishing point is not detected from the acquired the imaging image, the determining unit determines that the imaging direction of the imaging device is abnormal such that the front of the vehicle is not normally imaged.

Abstract: An image processing device includes an acquisition unit, an extraction unit, and a detection unit. The acquisition unit acquires image data for each of frame numbers from a drive recorder or the like. The extraction unit extracts a plurality of straight lines from the image data on the basis of drive recorder information. The detection unit detects a tilt of an image capturing direction of a camera according to a magnitude of an angle between a vertical axis direction of the image data and the extracted plurality of lines.

Abstract: A method includes obtaining a plurality of images that are continuously captured, detecting a first region indicating a feature value corresponding to a license plate, in a region that indicates a feature value corresponding to a vehicle and that is included in a first image among the plurality of images, based on a feature value of each of the plurality of images, determining a second region in the plurality of images, the second region indicating a feature value corresponding to a license plate, at least a part of the second region overlapping the first region in an image different from the first image, and outputting the second region as a license plate region.

Abstract: An image processing apparatus includes an acquiring unit and a determining unit. For example, the acquiring unit acquires an imaging image captured by a camera mounted on a vehicle and registers the acquired imaging image in drive recorder information. When a vanishing point is detected from the imaging image, the determining unit determines that the imaging direction of the imaging device is normal such that the front of the vehicle is normally imaged. When the vanishing point is not detected from the acquired the imaging image, the determining unit determines that the imaging direction of the imaging device is abnormal such that the front of the vehicle is not normally imaged.

Abstract: An image processing apparatus includes an acquiring unit, and determining unit. The acquiring unit acquires captured images from an imaging device mounted on a vehicle. The determining unit determines the normality of the imaging direction of the imaging device in accordance with whether an appearance pattern of a combination of a portion in which a variation is detected and a portion in which a variation is not detected among the acquired captured images corresponds to a predetermined pattern.

Abstract: An image processing apparatus includes a calculating unit and a detecting unit. The calculating unit calculates an additional value of a luminance values for each coordinate value in a first direction. The calculating unit calculates an additional value of the luminance values for each coordinate value in a second direction. The detecting unit detects a region of the image in which additional values of the luminance values for each coordinate value in the first direction are equal or a region in which additional values of the luminance values for each coordinate value in the second direction are equal.

Abstract: A method includes obtaining a plurality of images that are continuously captured, detecting a first region indicating a feature value corresponding to a license plate, in a region that indicates a feature value corresponding to a vehicle and that is included in a first image among the plurality of images, based on a feature value of each of the plurality of images, determining a second region in the plurality of images, the second region indicating a feature value corresponding to a license plate, at least a part of the second region overlapping the first region in an image different from the first image, and outputting the second region as a license plate region.

Abstract: An image processing apparatus includes an acquiring unit and a determining unit. For example, the acquiring unit acquires an imaging image captured by a camera mounted on a vehicle and registers the acquired imaging image in drive recorder information. When a vanishing point is detected from the imaging image, the determining unit determines that the imaging direction of the imaging device is normal such that the front of the vehicle is normally imaged. When the vanishing point is not detected from the acquired the imaging image, the determining unit determines that the imaging direction of the imaging device is abnormal such that the front of the vehicle is not normally imaged.

Abstract: An image processing apparatus 10 according to an embodiment includes a detection unit 11 and an identification unit 12. The detection unit 11 included in the image processing apparatus 10 detects a region in which a pixel value is changed between frames included in moving image data. The detection unit 11 outputs a detected result to the identification unit 12. The identification unit 12 sets a circumscribed rectangle to the region detected by the detection unit 11. The identification unit 12 specifies a frame including a detection target based on a filling ratio of the region to the circumscribed rectangle.

Abstract: An image processing apparatus includes a processor. The processor is configured to execute a process including creating an average image of difference images in moving picture data based on a difference between a first frame and a second frame adjacent to the first frame, the first frame and the second frame included in the moving picture data, calculating a sum total of luminance values arranged in a lateral direction of the average image for each point in a longitudinal direction of the average image, selecting a predetermined number of points that are higher in value of a secondary differential value of the sum total of luminance values, from among points located in a downward direction from a position of a vanishing point in the average image, and firstly specifying a point that is on a boundary between a hood and a road from among the predetermined number of selected points.

Abstract: An image processing apparatus includes a processor that executes a process. The process includes converting an input image into multiple types of images based on values of pixels in the input image, and selecting at least one image from the multiple types of images based on luminance information of the multiple types of images.

Abstract: An image processing apparatus includes an acquiring unit, and determining unit. The acquiring unit acquires captured images from an imaging device mounted on a vehicle. The determining unit determines the normality of the imaging direction of the imaging device in accordance with whether an appearance pattern of a combination of a portion in which a variation is detected and a portion in which a variation is not detected among the acquired captured images corresponds to a predetermined pattern.

Abstract: An image processing device includes an acquisition unit, an extraction unit, and a detection unit. The acquisition unit acquires image data for each of frame numbers from a drive recorder or the like. The extraction unit extracts a plurality of straight lines from the image data on the basis of drive recorder information. The detection unit detects a tilt of an image capturing direction of a camera according to a magnitude of an angle between a vertical axis direction of the image data and the extracted plurality of lines.

Abstract: An image processing apparatus includes an acquiring unit and a determining unit. For example, the acquiring unit acquires an imaging image captured by a camera mounted on a vehicle and registers the acquired imaging image in drive recorder information. When a vanishing point is detected from the imaging image, the determining unit determines that the imaging direction of the imaging device is normal such that the front of the vehicle is normally imaged. When the vanishing point is not detected from the acquired the imaging image, the determining unit determines that the imaging direction of the imaging device is abnormal such that the front of the vehicle is not normally imaged.

Abstract: An image processing apparatus includes a calculating unit and a detecting unit. The calculating unit calculates an additional value of a luminance values for each coordinate value in a first direction. The calculating unit calculates an additional value of the luminance values for each coordinate value in a second direction. The detecting unit detects a region of the image in which additional values of the luminance values for each coordinate value in the first direction are equal or a region in which additional values of the luminance values for each coordinate value in the second direction are equal.

Abstract: An image processing apparatus according to an embodiment has an identification unit, a detection unit, and a determination unit. The image processing apparatus according to the embodiment identifies moving image data taken by a camera in the night-time and detects a high-brightness region from frames of the identified moving image data. The image processing apparatus determines whether or not the high-brightness region is a subject to be detected, in a switchable manner depending on whether the moving image data has been taken during curve running or straight running.