Abstract: Debugging information for content rendered for display on a client device can be included in one or more watermarks inserted into the content. Performance, state, configuration, debugging, and other information can be encoded into a watermark and placed in rendered content in such a way that the information is imperceptible to most users. When a user reports a potential issue or problem, the user (or another source) can provide a version of the image frame corresponding to the issue, which enables the watermark to be located and the data extracted. A checksum or other value can be used to ensure that a complete and valid watermark was obtained. The data extracted from the watermark can then be used to attempt to identify and/or diagnose the potential issue without having to have access to the client device or communication with the user.

Abstract: Methods of identifying available connector ports on rack mounted equipment use an image capture device to capture an image of a front face of an equipment rack. The captured image is compared to at least one stored image. A patch cord insertion status of at least one connector port included on an item of equipment that is mounted on the equipment rack is then determined based at least in part on the comparison of the captured image to the at least one stored image.

Abstract: Described here are systems and methods for reconstructing images from limited angle positron emission tomography (“PET”) data acquired using a PET system with a partial-ring detector configuration, such as an in-beam PET system. The reconstruction process is specifically designed to account for the limited angular coverage of the partial-ring detector by implementing a reduced angle system matrix in an iterative reconstruction process.

Abstract: An input unit (20) obtains a sequence of image frames over time. A segmentation unit (22) segments image frames of the sequence of image frames. A tracking unit (24) tracks segments of the segmented image frame over time in the sequence of image frames. A clustering unit (26) clusters the tracked segments to obtain clusters representing skin of a subject by use of one or more image features of the tracked segments.

Abstract: A medical imaging apparatus includes a data acquirer configured to acquire measured data acquired by detecting an X-ray transmitted by an X-ray source to an object, and an image processor configured to acquire an initial image based on the measured data, alternately estimate region of interest (ROI)-outside measured data and ROI-inside measured data based on the measured data and the initial image, and acquire a reconstructed image based on the ROI-inside measured data.

Abstract: A method for determining a local refractive power in a volume element of a transparent object using a pattern includes observing the pattern through the transparent object by a first camera, determining, using the observed pattern, a three-dimensional (3-D) shape and position of a surface of a particular volume element of the transparent object facing the pattern and using the determined 3-D shape and surface position of the particular volume element, determining a local refractive power for the particular volume element.

Abstract: A method of identifying microbial colonies in a culture device is provided. The method comprises using an imaging device to produce a first image of a thin film culture device while providing illumination to a front side of the device and to produce a second image of the thin film culture device while providing illumination to a back side of the device. The method further comprises analyzing the first and second images to identify microorganism colonies in each image, analyzing the first and second images values of a size parameter for a colony at a particular location in the culture device, and comparing the values. The method can be used to differentiate and count at least two colony types.

Abstract: Techniques disclose an incrementally expanding object detection model. An object detection tool identifies, based on an object detection model, one or more objects in a sequence of video frames. The object detection model provides an object space including a plurality of object classes. Each object class includes one or more prototypes. Each object is classified as being an instance of one of the object classes. Each identified object is tracked across at least one of the frames. The object detection tool generates a measure of confidence for that object based on the tracking. Upon determining that the measure of confidence exceeds a threshold, the object detection tool adds a prototype of the instance to the object detection model.

Abstract: A Computer Aided Diagnosis (CAD) apparatus and CAD method for detection of ROIs based on an ROI size transition model. The CAD apparatus includes: an image receiver configured to sequentially receive images; a region of interest (ROI) acquirer configured to acquire an ROI from a current image based on an ROI size transition model; and an ROI output configured to output visual information indicating the acquired ROI.

Abstract: Provided is a defect detection device capable of measuring the volume of surface defects. The defect detection device includes: an imaging device configured to image an image of an inspection object; a binarization processing unit configured to subject the image to first and second binarization processing by use of different first and second binarization thresholds, so as to calculate first and second sizes for an identical defect in the image; a ratio calculation unit configured to calculate a first ratio of the second size to the first size; and a depth determination unit configured to determine a depth of the defect depending on the first ratio.

Abstract: A dynamic CT imaging method is provided. With the method, projection measurement data for a region of an examination object to be imaged is captured, with simultaneous correlated capture of the respiratory movement of the examination object. A phase of the respiratory movement, for which image data is to be reconstructed, is selected. Phase projection measurement data assigned to the selected phase is also determined. Transition regions of partial images of the region to be imaged between successive respiratory cycles are then reconstructed on a trial basis based on a part of the phase projection measurement data, and a standard reconstruction is performed using parts of the phase projection measurement data for each of the successive respiratory cycles assigned to an optimum reconstruction.

Abstract: An object detection apparatus that detects an object in a vicinity of a vehicle includes: (a) an image processing circuit configured to: (i) derive vectors representing movement of feature points in captured images acquired periodically by a camera that captures images of the vicinity of the vehicle; and (ii) detect the object based on the vectors; and (b) a controller configured to (i) acquire a velocity of the vehicle; and (ii) set a parameter that affects a number of the feature points based on the velocity of the vehicle.

Abstract: An apparatus for recognizing lane partition lines on opposite sides of a traveling lane in a processing area of a forward image captured by a camera mounted in a vehicle. In the apparatus, a lane change determiner is configured to determine whether or not there is a lane change made by the vehicle. A processing area changer is configured to, while it is determined by the lane change determiner that there is a lane change, change the processing area from a predefined processing area to a processing area that can accommodate the lane change.

Abstract: A method of mapping an inter-tidal area, comprising: obtaining, over a period of time, image data comprising: a sequence of images of the inter-tidal area at a range of different stages of the tide, and the time at which each image was obtained; determining an elevation of a location in the image, by correlating the changes in an image value over time at the location with tidal data comprising the elevation of the tide over the period of time.

Abstract: Techniques for an image-based analysis of a geological thin section include (i) acquiring a plurality of images from a geological thin section of a rock sample from a subterranean zone; (ii) manipulating the plurality of images to derive a composite image; (iii) optimizing the composite image to derive a seed image; (iv) identifying, in the seed image, a particular seed pixel of a plurality of contiguous pixels that comprise an image of a grain of a plurality of grains of the rock sample in the seed image; (v) determining, with a specified algorithm, a shape of the grain based on the seed pixel; (vi) determining, based on the shape of the grain, a size of the grain; and (vii) preparing the determination of the size of the grain for presentation to a user.

Abstract: A method and system are disclosed for locating or otherwise generating positional information for an object, such as but not limited generating positional coordinates for an object attached to an athlete engaging in an athletic event. The positional coordinates may be processed with other telemetry and biometrical information to provide real-time performance metrics while the athlete engages in the athletic event.

Abstract: A method for a cloud-based feedback-driven image training and recognition includes receiving a set of expert annotations of a plurality of training images of a predetermined subject matter, wherein the expert annotations include a clinical diagnosis for each image or region of interest in an image, training one or more classification models from the set of expert annotations, testing the one or more classification models on a plurality of test images that are different from the training images, wherein each classification model yields a clinical diagnosis for each image and a confidence score for that diagnosis, and receiving expert classification result feedback regarding the clinical diagnosis for each image and a confidence score yielded by each classification model.

Abstract: A system and method for estimating image intensity bias and segmentation tissues is presented. The system and method includes obtaining a first image data set and at least a second image data set, wherein the first and second image data sets are representative of an anatomical region in a subject of interest. Furthermore, the system and method includes generating a baseline bias map by processing the first image data set. The system and method also includes determining a baseline body mask by processing the second image data set. In addition, the system and method includes estimating a bias map corresponding to a sub-region in the anatomical region based on the baseline body mask. Moreover, the system and method includes segmenting one or more tissues in the anatomical region based on the bias map.

Abstract: A system and method determines an isocenter for an imaging scan. The method includes receiving, by a control panel, patient data generated by at least one sensor, the patient data corresponding to dimensions of a body of a patient. The method includes generating, by the control panel, model data as a function of the patient data, the model data representing the body of the patient. The method includes receiving, by the control panel, a target location on the model data, the target location corresponding to a desired position on the body of the patient for performing the imaging scan. The method includes determining, by the control panel, an isocenter for the imaging scan as a function of the target location.

Abstract: Disclosed are methods and apparatuses to recognize actors during normal system operation. The method includes defining actor input such as hand gestures, executing and detecting input, and identifying salient features of the actor therein. A model is defined from salient features, and a data set of salient features and/or model are retained, and may be used to identify actors for other inputs. A command such as “unlock” may be executed in response to actor input. Parameters may be applied to further define where, when, how, etc. actor input is executed, such as defining a region for a gesture. The apparatus includes a processor and sensor, the processor defining actor input, identifying salient features, defining a model therefrom, and retaining a data set. A display may also be used to show actor input, a defined region, relevant information, and/or an environment. A stylus or other non-human actor may be used.