Abstract: A radiographic-image processing apparatus includes an acquiring section configured to acquire not only data on each moving image but also an information item obtained in a predetermined time from capturing of the corresponding moving image if a plurality of moving images captured at different times is designated, and an allocating section configured to perform a process of saving each information item acquired by the acquiring section in a storage section in association with a data item on a corresponding moving image of the designated individual moving images.

Abstract: The disclosure provides example methods that include a processor: (a) generating at least one phase contrast image of a biological specimen comprising one or more cells centered around a focal plane for the biological specimen; (b) generating a confluence mask in the form of a binary image based on the at least one phase contrast image; (c) receiving a first brightfield image of the biological specimen at a defocusing distance above the focal plane and a second brightfield image of the biological specimen at the defocusing distance below the focal plane; (d) generating a cell image of the biological specimen based on the first and second brightfield image; (e) generating a seed mask based on the cell image and the phase contrast image; and (f) generating an image of the biological specimen showing a cell-by-cell segmentation mask based on the seed mask and the confluence mask.

Abstract: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

Abstract: A method is provided. The method includes one or more of receiving, by an image processing device, one or more photos of building locations at a building, extracting position coordinates comprising X and Y values in a 2D floor plan from the one or more photos, converting the position coordinates into 3D model coordinates, extracting model viewpoints from a 3D model of the building at the 3D model coordinates, and comparing each of the one or more photos with a corresponding model viewpoint. Each of the model viewpoints provides a view of the 3D model at a same viewing position as one of the one or more photos.

Abstract: An apparatus for diagnosis of a medical image includes a storage having a predetermined size, the storage being configured to store sample frames sampled from among received frames which are received from a medical imaging device; a frame collector configured to, once a reference frame is determined, collect one or more sample frames stored in the storage; and a diagnosis component configured to provide a diagnosis for the reference frame based on diagnostic results associated with the one or more collected sample frames.

Abstract: A method for performing pedestrian detection with aid of light detection and ranging (LIDAR) is provided. The method includes: obtaining 3-dimensional (3D) point cloud data through the LIDAR; performing ground separation processing on the 3D point cloud data to remove ground information; performing object extraction processing on the 3D point cloud data to obtain 3D point cloud chart that includes pedestrian candidate point cloud group; performing 2-dimensional (2D) mapping processing on the 3D point cloud chart to obtain 2D chart; and extracting 3D feature and 2D feature from the 3D point cloud chart and the 2D chart, respectively, and utilizing the 3D feature and the 2D feature to determine location of the pedestrian. According to the method, image data obtained by the LIDAR may be enhanced, the method may distinguish between pedestrian far away and environment blocks, and pedestrian recognition in nighttime or in bad weather may be improved.

Abstract: Techniques are generally described for scene change detection. A first and second histogram representing frames of a video may be received. A Euclidean distance between the first and second histogram may be determined. A third histogram of a third frame may be received. Values of the third histogram may be compared to corresponding values of a background model of the environment. A fourth frame and a fifth frame of image data of the video may be received. A flow value between a first block of pixels of the fourth frame and a corresponding second block of pixels of the fifth frame may be determined. The flow value may be determined based on a motion vector and a sum of absolute differences between the first and second block. A portion of the video may be streamed to a remote computing device if the flow value exceeds a threshold value.

Abstract: In a case where noise reduction processing is performed on an image acquired by radiography, the noise reduction processing is prevented from being influenced by other image processing performed in advance. A structure determination unit determines a structure present in a target pixel of a preprocessed captured image. A first image processing unit performs a predetermined image processing based on a determination result of the structure present in the target pixel of the preprocessed captured image. A second image processing unit performs image processing different from the predetermined image processing on an image acquired through the predetermined image processing performed by the first image processing unit.

Abstract: Systems, devices, and methods obtain an image volume; obtain a description of a surface that includes a shape of the surface, a size of the surface, and a location of the surface in the image volume, sample the image volume on the surface, thereby producing sampled surface-image data; and generate a visualization of the sampled surface-image data.

Abstract: The quality of thoracic X-rays is depends on the inspiration state of an imaged patient. If the lungs of a patient are not significantly inflated during a thoracic X-ray, tissue from surrounding organs can cause the image to become cloudier, and the lung parenchyma is not effectively shown. Thus, there is a reliance on a medical professional to ensure that the patient is in an appropriate posture and inspiration state at the point of image exposure. This can be difficult with patients suffering from chronic conditions, though. Therefore, this application discusses a means to assess the inspiration state using the position of rib bones, and the diaphragm line in the X-ray image. Thus, an accurate estimate of inspiration state can automatically be reported to a medical professional, before a patient leaves the examination room, allowing an X-ray to be retaken, if necessary.

Abstract: Methods and apparatus are disclosed to facilitate environmental visibility determination. An example vehicle comprises a sensor and a processor and memory. The sensor is to generate road image information. The processor and memory are in communication with the sensor and are configured to: detect vanishing points of lane markings in the road image information, convert an average pixel row value of the vanishing points to a distance value, and if the distance value is below a threshold, stop execution of at least one road condition monitoring feature.

Abstract: In a case in which the size of a moving body changes by a position of the moving body, in order to accurately track the moving body without an effort of the user regardless of a change in the size, the present disclosure estimates a size of the moving body in each of the images of the frames, updates template data based on the estimated size of the moving body, and compares a candidate region that is a candidate of a region where the moving body is present in each of the images of the frames with the template data, and determines whether or not the moving body is positioned in the candidate region based on the comparison result.

Abstract: Object recognition and classification based on data from multiple sensor modalities is disclosed. A computing system can detect an event in a monitored portion of an environment coordinate field associated with a vehicle. The computing system can retrieve data associated with the detected event from a plurality of modalities. At least one of the modalities can include raw data from a sensor associated with the vehicle. The computing system can classify the detected event based at least in part on the retrieved data and one or more parameters of a classifier.

Abstract: An electronic device and a fingerprint recognition method are provided. The electronic device includes: a fingerprint recognition sensor configured to capture, according to a swipe mode or a press mode, a user fingerprint in an area displayed on a touchscreen; at least one memory configured to store a fingerprint template; at least one processor configured to determine and set a fingerprint recognition mode in a first display area; and the touchscreen configured to detect a first input in the first display area; where the processor is further configured to instruct the fingerprint recognition sensor to capture a user fingerprint according to the set mode and match the fingerprint captured by the fingerprint recognition sensor with the fingerprint template.

Abstract: An optical coherence tomography device provided with: an OCT optical system configured to output OCT signal; and an analysis processing unit configured to process the OCT signal and generate motion contrast data of the specimen. The analysis processing unit is provided with: a first image data generation unit configured to process multiple OCT signals to generate first image data representing phase difference information of the multiple OCT signals, and a second image data generation unit configured to process the OCT signal to generate second image data representing amplitude information of the OCT signal. The analysis processing unit generates the motion contrast data based on the phase difference information in the first image data and the amplitude information in the second image data.

Abstract: Examples include methods, systems, and articles for localizing a vehicle relative to an imaged surface configuration. Localizing the vehicle may include selecting pairs of features in an image acquired from a sensor supported by the vehicle having corresponding identified pairs of features in a reference representation of the surface configuration. A three-dimensional geoarc may be generated based on an angle of view of the sensor and the selected feature pair in the reference representation. In some examples, a selected portion of the geoarc disposed a known distance of the vehicle away from the portion of the physical surface configuration may be determined. Locations where the selected portions of geoarcs for selected feature pairs overlap may be identified. In some examples, the reference representation may be defined in a three-dimensional space of volume elements (voxels), and voxels that are included in the highest number of geoarcs may be determined.

Abstract: A recess detection device includes a reference value decision processor that extracts, from distance image information, pieces of reference information respectively corresponding to reference regions at different positions within a detection range with a distance from a three-dimensional sensor being within a predetermined range, and determines a reference value based on the reference information, and a presence identification processor that extracts, from the distance image information, pieces of comparison information respectively corresponding to comparison regions within the same detection range, respectively, derives comparison values based on the respective pieces of comparison information, and indicates a presence of a recess when a difference between the reference value and the comparison value exceeds a predetermined threshold.

Abstract: A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a plurality of DHM images acquired using a digital holographic microscopy system. One or more connected components are identified in each of the plurality of DHM images and one or more training white blood cell images are generated from the one or more connected components. A classifier is trained to identify a plurality of white blood cell types using the one or more training white blood cell images. The classifier may be applied to a new white blood cell image to determine a plurality of probability values, each respective probability value corresponding to one of the plurality of white blood cell types. The new white blood cell image and the plurality of probability values may then be presented in a graphical user interface.

Abstract: An ultrasound processing system includes an ultrasound interface, processing electronics, and display electronics. The ultrasound interface receives imaging information. The processing electronics are coupled to the ultrasound interface and configured to utilize the ultrasound imaging information to process an ultrasound scene for display. The processing electronics parse the scene into segments based on a plurality of automatically detected image characteristics and dynamically assign different processing parameters to different segments. Display electronics are coupled to the processing electronics and the processing electronics are configured to cause the display electronics to output the processed ultrasound scene.