A medicine inspection support device, an image processing device, an image processing method and a program are provided that appropriately recognize identification information irrespective of whether the identification information is an engraved mark or a printed character. The image processing device obtains a plurality of taken images of a second medicine with light illumination directions to the surface of the second medicine different from each other, generates a first enhanced image by performing a process of enhancing an engraved mark portion of the second medicine, generates a second enhanced image by performing a process of enhancing a printed character portion of the second medicine, and collates the image designated by the designation information designating one of the first enhanced image and the second enhanced image as an image to be used for collation with the master image to determine whether the first medicine is identical to the second medicine.

A medicine inspection device, an image processing device, an image processing method, and a program are provided that appropriately extract identification information even when the positional relationship between a printed character and an engraved mark added to a medicine is not constant. The above problem is solved by an image processing device that performs a process of enhancing a printed character portion of a medicine based on at least one image taken with a surface of the medicine being irradiated with light to generate a printed-character-enhanced image, performs a process of extracting only an engraved mark portion from a three-dimensional shape of the medicine based on at least three images taken with illumination directions of the light to the surface of the medicine different from each other to generate an engraved-mark-extracted image, and generates a difference image between the printed-character-enhanced image and the engraved-mark-extracted image.

According to one embodiment, an image processing apparatus comprises a screen, a camera, a distance sensor, and a processor. The screen has one surface where an object is put. The camera photographs an image from the other surface of the screen. The distance sensor measures a distance from the one surface of the screen and generates distance information indicating the distance. The processor extracts a region of the object from the photographed image, specifies the object from the image of the region of the object, acquires an outer dimension preset to the specified object, calculates a length, from the screen, of the object put on the one surface of the screen based on the distance information, and outputs an alert when the outer dimension does not match the length of the object.

An otoscope may project a temporal sequence of phase-shifted fringe patterns onto an eardrum, while a camera in the otoscope captures images. A computer may calculate a global component of these images. Based on this global component, the computer may output an image of the middle ear and eardrum. This image may show middle ear structures, such as the stapes and incus. Thus, the otoscope may see through the eardrum to visualize the middle ear. The otoscope may project another temporal sequence of phase-shifted fringe patterns onto the eardrum, while the camera captures additional images. The computer may subtract a fraction of the global component from each of these additional images. Based on the resulting direct-component images, the computer may calculate a 3D map of the eardrum.

A drug identification device, an image processing device, an image processing method, and a program are provided that appropriately determine whether identification information added to a drug is added by mark engraving or by character printing. The above problem is solved by an image processing device including: an obtaining unit configured to obtain a plurality of images of a drug having identification information added by mark engraving or by character printing on a surface of the drug, with emitting directions of light to the surface different from each other; an image comparing unit configured to compare the plurality of images with each other; and a determining unit configured to determine whether the identification information is added by mark engraving or by character printing, according to a comparison result by the image comparing unit.

An imaging system, including: a first body; a first imager that is provided in the first body and images an object; a first information calculator that is provided in the first body and calculates first model information including at least one of shape information and texture information of the object based on an imaging result of the first imager; a pattern setter that sets a reference pattern indicating at least a part of the first model information calculated by the first information calculator; a first projector that projects the reference pattern toward the object; a second body; a second imager that is provided in the second body and images the object onto which the reference pattern is projected; a second information calculator that is provided in the second body and calculates second model information including at least one of shape information and texture information of the object based on an imaging result of the second imager; and a pattern extractor that extracts the reference pattern projected by the first projector from the imaging result of the second imager.

An image depth decoder includes an NIR image buffer, a reference image ring buffer and a pattern matching engine. The NIR image buffer stores an NIR image inputted by a stream. The reference image ring buffer stores a reference image inputted by a stream. The pattern matching engine is coupled to the NIR image buffer and the reference image ring buffer, and performs a depth computation according to the NIR image and the reference image to output at least one depth value.

An image capturing system includes a light source configured to emit light toward an object or scene that is to be imaged. The system also includes a time-of-flight image sensor configured to receive light signals based on reflected light from the object or scene. The system also includes a processor operatively coupled to the light source and the time-of-flight image sensor. The processor is configured to perform compressive sensing of the received light signals. The processor is also configured to generate an image of the object or scene based at least in part on the compressive sensing of the received light signals.

A ranging template system includes a ranging data interface, a sampler, a processor, and a database. The ranging data interface may be configured to receive a series of ranging data. The sampler may be configured to identify a subset of the series of ranging data. The processor may be configured to associate an object with the subset of ranging data and generate a scale invariant ranging template based on the subset of ranging. The database may be configured to store the scale invariant ranging template.

An electronic device for license plate recognition includes control circuitry and a memory that stores a sequence of image frames. The control circuitry extracts a first set of license plate images from the sequence of image frames and estimates a set of two dimensional (2D) connectionist-temporal-classification (CTC) matrices based on application of a pre-trained CTC-based deep neural network (DNN) on the first set of license plate images. The control circuitry further generates a three dimensional (3D) CTC matrix from the estimated set of 2D CTC matrices and decodes a set of alphanumeric characters of a license plate number of a first license plate. The set of alphanumeric characters are decoded based on a 3D beam search through the generated 3D CTC matrix. The decoded set of alphanumeric characters correspond to maximum likelihood values for the decoded set of alphanumeric characters in the 3D beam search.