A method for sharing content is provided. An image of content is obtained. An address is generated based on the image using a set of predefined rules. The address is associated with the content. The content is provided to a computing device in response to the computing device accessing the address.

A medical image processing apparatus includes: a first captured image acquisition unit configured to acquire a first captured image obtained by capturing light from an observation target irradiated with light in a first wavelength band, the observation target emitting fluorescence when irradiated with excitation light in a second wavelength band different from the first wavelength band; a second captured image acquisition unit configured to acquire a second captured image obtained by capturing the fluorescence from the observation target irradiated with the excitation light; a first image processor configured to execute image processing on the first captured image; and a second image processor configured to execute image processing including blurring processing of blurring an image on the second captured image.

An automatic measuring system containing configurable integrated circuits is able to process information via captured images. The automatic measuring system includes a metering instrument, a camera, a recognition module, and a localization module. The metering instrument has at least one display for visually displaying a number and measures the amount of measurable substance or resources (i.e., electricity and water) consumed. The camera captures an image of the number representing at least a portion the amount of measurable substance. The recognition module is operable to generate a value in response to the image and the coordinates wherein the coordinates are used to decode the image via restoring captured image to the original readout counter value. The localization module is removably or remotely coupled to the camera and operable to generate the coordinates in accordance with the image captured by the camera.

An image processing apparatus includes an image acquisition unit configured to acquire a plurality of temporally different images each of which has degraded by a turbulence, a parameter acquisition unit configured to acquire a learned network parameter, and a measurement unit configured to measure a turbulence strength from the plurality of images using the network parameter and a neural network.

A control method includes outputting an estimated feature value based on first layout data generated based on a first album creation parameter, generating a second album creation parameter based on the output estimated feature value, generating third layout data based on the generated second album creation parameter and an image used for second layout data generated by a user, updating the first album creation parameter to a third album creation parameter based on a feature value based on the generated third layout data and a feature value based on the second layout data, performing verification of the third album creation parameter, and generating fourth layout data based on the third album creation parameter when a result of the verification of the third album creation parameter is a first result, and not generating when the result of the verification of the third album creation parameter is a second result.

The present disclosure provides systems and methods for calibration. In one example, the method may comprise optical image analysis for calibration. The method may comprise generating an optical projection of one or more calibration features onto a material surface provided in a material fabrication or processing machine, and determining one or more spatial characteristics of the calibration features. The one or more spatial characteristics may comprise a distance, a position, an orientation, an alignment, a size, or a shape of one or more calibration features. The one or more spatial characteristics may be used to adjust at least one of (i) a position or an orientation of an imaging unit relative to the material surface and the material fabrication or processing machine, (ii) an angle or an inclination of the material surface relative to the imaging unit, and (iii) one or more imaging parameters of the imaging unit.

A system is configured to obtain multiple images (83) of a plant and store a plurality of the multiple images of the plant with a grow protocol (71) for growing the plant. Each of the images is associated with a different capture moment. The system is further configured to select the grow protocol separately from the plant and render the plurality of images upon selection of the grow protocol. Each of the images is rendered along with one or more desired and/or measured conditions (74-76) of a growth stage (84). The growth stage corresponds to a capture moment of the respective image. The grow protocol comprises a plurality of growth stages and the one or more desired and/or measured conditions are included in the grow protocol.

Provided is a tablet dimension measuring program for quickly sharing the dimensions of a tablet while ensuring accuracy of the measurement method. The tablet dimension measuring program is a tablet dimension measuring program for capturing an image of a tablet by using: measuring means for measuring a dimension of the tablet; dimension display means for displaying the dimension of the tablet measured by the measuring means; and imaging means for capturing images that each include a numerical value of the dimension displayed by the dimension display means and a measurement position of the tablet, in which the imaging means is used to capture at least one dimension information image that includes the measurement position of the tablet and the numerical value of the dimension and a drug information image with which drug information of the tablet is identifiable.

A user device may include a memory and a processor. The user device may send, via a cellular network, instructions to an unmanned aerial vehicle (UAV). The instructions may include instructions to capture a plurality of first images while the UAV is in flight. The user device may receive, while the UAV is in flight, one or more second images via a wireless wide area network. The one or more second images may be lower resolution versions of a subset of the first plurality of images. The user device may store the one or more second images at the user device.

Provided is an image processing method. The image processing method includes receiving images acquired from a plurality of vehicles positioned on a road; storing the received images according to acquisition information of the received images; determining a reference image and a target image based on images having the same acquisition information among the stored images; performing an image registration using a plurality of feature points extracted from each of the determined reference image and target image; performing a transparency process for each of the reference image and the target image which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.