The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Disclosed are methods, systems, and computer-implemented method for detecting foreign objects on a landing surface. For instance, the method may include capturing an image from one or more cameras associated with a vehicle, detecting the landing surface present in the captured image, retrieving a reference image for the detected landing surface, and extracting a plurality of feature points present in both the captured image and the reference image. The method may further include determining a transformation between the captured image and the reference image by correlating the plurality of feature points between the captured image and the reference image, creating a virtual image by applying the transformation to one of the captured image or the reference image, and comparing the virtual image to the other one of the captured image or the reference image that was not transformed to detect one or more foreign objects.

A vehicle driver assist system provides for the location of a target feature in an initial image and updates the location of that target feature based on information indicative of vehicle dynamic operation. The system predicts a relative position of the target feature within subsequent images such that only a portion of subsequent images need by analyzed and searched.

An object ID-centered workflow method utilizes an object identifier (ID) associated with an object. Forensic identification of serialization elements of the object ID enables access to a registry of workflows.

A system for informing food element decisions in the acquisition of edible materials from any source. The system includes a processor coupled to a memory configured to receive from a user client device a food element descriptor uniquely identifying a particular food element. The system retrieves from a physiological database at least an element of physiological data. The system identifies using at least an element of physiological data and a machine-learning algorithm user constitutional enhancing food elements and user constitutional advancing food elements. The system classifies using a food element classifier a food element descriptor. The system displays on a graphical user interface a constitutional enhancing food element or a constitutional advancing food element.

An image processing device according to the present application includes an accepting unit and a specifying unit. The accepting unit accepts image data that includes therein at least two diagrams that can be extracted as circles. The specifying unit specifies, by checking a parameter that is calculated from a pair of two circles included in the image data accepted by the accepting unit against a parameter that is calculated from a pair of two perfect circles that have previously been registered as markers that are used for image processing, the pair of the two circles included in the image data as the markers.

The improved data management system includes a computerized database device for capturing item technical data provided and maintained by a vendor. A digital representation of the item, for example, a linear or matrix code, ASCII, image, or video data is associated with the technical data. An end user interface utilizes a camera on the end user's smart phone, tablet device, or other computing device to generate image related data of an item of interest for correlation with the digital representation, and is utilized by the database to look up and present the technical data associated with the item of interest. An enhancer interface allows the addition and maintenance of enhancement data to be associated with item technical data and presented to an end user when considering an item of interest.

A device for orientation and position detection of markings in three-dimensional space includes a marking unit, an optical image capture unit adapted to capture images thereof and an evaluation unit adapted to unambiguously determine the orientation and the position of the marking unit. The marking unit has exactly three markings arranged on a first straight line and exactly two markings arranged on a second straight line. The straight lines intersect in one of the markings so that there is exactly one common marking. The marking unit has a communication element arranged on the second straight line. Several marking units are provided, which are operatable simultaneously and which are adapted such that the marking units are distinguishable on the basis of the various communication elements. The evaluation unit is adapted to recognize all markings and/or communication elements in a captured image and to assign 2-dimensional image coordinates to them.

In one example embodiment, an image providing method includes capturing, by a processor, a first partial image while applying a first image processing filter at a first time, capturing, by the processor, a second partial image while applying a second image filter at a second time after the first time, and generating, by the processor, a collage image by merging the first partial image and the second partial image at a third time after the second time.

A robot system includes: a recognition means that recognizes an operator in distance image data as a security surveillance target; an area setting means that sets, in the distance image data, a common work area that a robot and the operator are allowed to enter; and a boundary setting means that sets, in the distance image data, a first boundary that the operator S is allowed to cross for entering the common work area but the robot is not allowed to cross, and a second boundary that the robot is allowed to cross for entering the common work area but the operator is not allowed to cross, wherein the crossing of the second boundary by the security surveillance target and the crossing of the first boundary by a non-target object not recognized as the security surveillance target are detected.