Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.

The present disclosure provides, inter alia, methods and compositions (e.g., conjugates) for imaging, at high spatial resolution, targets of interest.

Information about a drug-containing vessel is determined by capturing image data of the curved surface of a cylindrical portion of a drug-containing vessel. The image data is unfurled from around the curved surface, binarised, and a template matching algorithm employed to determine that the label information comprises candidate information about the vessel and/or the drug.

Techniques are disclosed for measuring the corpus callosum volume of a fetus using magnetic resonance imaging. A scanogram of a fetus is acquired, and a detection area is determined using the corpus callosum position of the fetus in the scanogram. Magnetic resonance scanning is performed on the detection area to obtain a diffusion weighted image, with a gradient direction that is orthogonal or normal to an extending direction of fiber bundles of the corpus callosum. A fetal head image is cropped in the diffusion weighted image, and a predetermined threshold is applied to obtain an image including pixels having a brightness value that is greater than the threshold. Image processing is performed on the binarized image, with the largest region therein being identified as the corpus callosum, and the sum of voxel dimensions associated with the signal of the largest region being calculated as the corpus callosum volume.

An apparatus is proposed for identifying respective cover slip regions of respective cover slips having respective tissue sections on a specimen slide, which has multiple optical identifiers. The apparatus includes a planar light source, an image acquisition unit, a holding unit for positioning the specimen slide between the planar light source and the image acquisition unit, a slit diaphragm, which has multiple opening slits, reversibly positionable between the planar light source and the specimen slide, and an illumination unit, which is designed to illuminate that surface of the specimen slide which faces toward the image acquisition unit. Furthermore, the apparatus includes a monitoring unit which is designed, on the basis of a completely illuminated transmitted light image, an incident light image, and a partially darkened transmitted light image, to assign respective tissue sections to respective optical identifiers.

A determination system includes an imaging data acquisition device that captures an image of a printed surface of a printed product to acquire imaging data of the captured image, and a determination device that determines a printing method used to produce the printed surface of the printed product for capturing an image by the imaging data acquisition device. The determination device selects a determination area included in the captured image, extracts a determination end image from a portion around an end portion of a black determination image included in the determination area, acquires difference data that is a difference in gradation between two colors among gradation data of RBG colors of the extracted determination end image, acquires a determination value for determining a printing method used to produce the printed surface of the printed product, and determines a printing method used to produce the printed surface of the printed product.

An operating room monitoring system (ORMS) may be uniquely configured for a particular operating room in order to provide custom monitoring and responses based on the unique characteristics of that operating room. The ORMS includes a sensor array of individual sensors placed around the operating room in positions determined by the type of sensor and the unique characteristics of the operating room. Data from the sensor array is collected and analyzed using an infection-reduction protocol. Analyzed data may include images and video, proximity data, airflow data, and climate data, for example. Protocol violations may result in tailored responses such as automatic adjustment of HVAC equipment, or generalized responses such as room-level visual or audible alerts. A dashboard interface may be displayed on various devices that provides sensor data, environmental quality data, risk picturing, and other information usable to mitigate infection risks.

An operating room monitoring system (ORMS) may be uniquely configured for a particular operating room in order to provide custom monitoring and responses based on the unique characteristics of that operating room. The ORMS includes a sensor array of individual sensors placed around the operating room in positions determined by the type of sensor and the unique characteristics of the operating room. Data from the sensor array is collected and analyzed using an infection-reduction protocol. Analyzed data may include images and video, proximity data, airflow data, and climate data, for example. Protocol violations may result in tailored responses such as automatic adjustment of HVAC equipment, or generalized responses such as room-level visual or audible alerts. A dashboard interface may be displayed on various devices that provides sensor data, environmental quality data, risk picturing, and other information usable to mitigate infection risks.

Disclosed is a transparency detecting method based on machine vision. The transparency detecting method includes 1) operating a Secchi disk to start the water transparency measurement, and turning on the camera for shooting; 2). determining a critical position of the Secchi disk; 3) identifying a water ruler and calculating a reading of the water ruler; 4) outputting and displaying the calculated reading.

A system and method for detecting seatbelt positioning includes capturing, by a camera, a near infrared (NIR) image of an occupant, applying a median filter to the NIR image to remove glints; converting the NIR image to a black-and-white image, scanning across the black-and-white (B/W) image to detect a plurality of transitions between black and white segments corresponding to stripes extending lengthwise along a length of the seatbelt, and using detections of the plurality of transitions to indicate a detection of the seatbelt. Converting the NIR image to the black-and-white image may include using a localized binary threshold to determine whether a given pixel in the B/W image should be black or white based on whether a corresponding source pixel within the NIR image is brighter than an average of nearby pixels within a predetermined distance of the corresponding source pixel.