Abstract:
A displacement measurement device includes: a first machine learning model trained to generate, from one image which contains a subject and has noise, at least one image which contains the subject and which has noise or has had noise removed; a first obtainer that obtains a first image which contains the subject and has noise and a second image which contains the subject and has noise; a first generator that, using the first machine learning model, generates M template images containing the subject from the first image and generates M target images containing the subject from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.
Abstract:
An information presentation method according to the present disclosure includes: acquiring two or more monochrome images obtained by image-capturing a structure using a monochrome camera and one or more first color images obtained by image-capturing the structure using a color camera, the one or more first color images having a less amount of information than an amount of information of the two or more monochrome images; detecting a displacement that indicates a movement of the structure based on the two or more monochrome images; generating presentation information that includes one or more second color images that present information that indicates the displacement based on the two or more monochrome images and the one or more first color images; and outputting the presentation information.
Abstract:
A lift-up determining device includes a detector and a determination unit. The detector acquires a captured image including a tire on an axle of a vehicle and detects the tire from the captured image. The determination unit determines, based on a detection result by the detector, whether the axle is lifted up.
Abstract:
A double tire determination device includes an image input unit and a determination unit. The image input unit receives input of a captured image including a tire mounted on a vehicle. The determination unit determines whether the tire is a double tire, based on a ratio between a first area and a second area. The first area is an area of a first wheel region that is a part of a region of a wheel holding the tire and that is located on a side in a first direction with respect to a position of a rotation center of the tire. The second area is an area of a second wheel region that is a part of the region of the wheel holding the tire and that is located on a side in a second direction, which is opposite to the first direction, with respect to the position of the rotation center.
Abstract:
A displacement measuring apparatus measures a displacement of a measurement object by using a captured image where the measurement object and a load object are imaged. The displacement is caused by the load object in contact with the measurement object at a contact position. The displacement measuring apparatus includes a position detector, an area setting unit and a displacement calculator. The position detector detects a position, of the load object, in the captured image. The area setting unit sets a position and a size of a detection area in the captured image by using distance information and the position of the load object detected by the position detector, the distance information spatially indicating a distance between the measurement object when the load object is not on the measurement object and an imaging device that generates the captured image. The displacement calculator calculates the displacement by using only an image in the detection area in the captured image.
Abstract:
A displacement detecting apparatus includes: a detector which detects displacement, which is spatial displacement over time, of each of a plurality of measurement points which have been set on an object, using a plurality of images of the object captured at a plurality of time points; an extractor which extracts characteristic displacement specific to the object, based on the displacement detected by the detector; and a calculator which calculates overall displacement indicating displacement of the entirety of the object, from the characteristic displacement extracted by the extractor.
Abstract:
An imaging apparatus includes an imaging unit, a detector, a calculator, and a controller. The imaging unit captures an image of a road on which a vehicle runs, and generates the captured image of the road. The detector detects a contact position at which the vehicle is in contact with the road in the captured image. The calculator calculates a first brightness range based on brightness distribution in a first road surface area on the road and the first road surface area includes the contact position. The controller determines an imaging condition for the imaging unit based on the first brightness range, and controls the imaging unit using the determined imaging condition.
Abstract:
A weight measuring device includes a displacement amount detector, a storage unit, and a weight calculator. The displacement amount detector detects, by using a captured image obtained by capturing a road and a vehicle present on the road, a displacement amount, in the captured image, corresponding to displacement caused on the road by application of a weight of the vehicle. The storage unit stores first information indicating a relation between the weight and the displacement amount. The weight calculator calculates the weight based on the displacement amount and the first information.
Abstract:
An image processing method which includes obtaining a normal image captured with all polarization components of light from an object, and a polarization image captured with specific polarization components out of all the polarization components of the light. The method further includes generating a difference image between the normal image and the polarization image; calculating, using pixel values of the difference image, a coefficient to be multiplied by at least one of a pixel value of the normal image and a pixel value of the polarization image; and synthesizing the normal image and the polarization image using a pixel value obtained by multiplying the coefficient by the at least one of the pixel value of the normal image and the pixel value of the polarization image to generate a synthesized image.