Abstract: A system for managing scouting images, including a scouting camera configured to record and store images of subjects at a particular location and an image management device which has a processor that creates a predictive statement based on image content of the images stored on the scouting camera or copies thereof and a display conveying the predictive statement to a user, wherein the predictive statement indicates a portion of a future time period that subjects are most likely to be at the particular location as compared to remaining portions of the future time period.

Abstract: Provided is a diagnosis assistance system. The system includes, an imaging unit, an analysis unit, an operation unit, and a display unit. The analysis unit extracts a subject region from each of the plurality of image frames generated by the imaging unit, divides the extracted subject region into a plurality of regions, and analyzes the divided regions correlated among the plurality of image frames, thereby calculating a predetermined feature quantity indicating motions of the divided regions. The operation unit allows a user to select a region serving as a display target of an analysis result by the analysis unit. The display unit displays the calculated feature quantity regarding the selected region.

Abstract: The invention provides a system and method of analyzing the motion of a biological object, particularly the motion of cultured organisms or cell cultures. The system and method of the invention may be used to determine the effect of a physical stimulus or a test agent on the motion of cell cultures. The system and method is of particular use in assessing the effect a chemical may have on the contractile motion of cardiomyocyte cell cultures.

Abstract: An image processing device comprises: image display means which displays at least one of transformation target images containing an object of interest; first reference point receiving/determining means which receives information on first reference point candidates according to a user operation, receives according to a user operation a determination signal targeted at the first reference point candidates displayed on the transformation target image based on the information on the first reference point candidates, and determines first reference points based on the information on the first reference point candidates targeted by the received determination signal; second reference point receiving/determining means which determines second reference points by receiving information on the second reference points; and geometric transformation means which outputs a transformed image by conducting geometric transformation to the transformation target image based on the first reference points determined by the first refe

Abstract: A system is disclosed. The system includes at least one image acquisition device configured to obtain one or more images of sample containers in a sample container holder. It also includes an image analysis device coupled to the at least one image acquisition device. The image analysis device is configured to analyze, by a processor, the one or more images of the sample containers in the sample container holder, to determine (a) a presence or absence of sample containers at sample container holder locations in the sample container holder, and (b) sample container characteristics of the sample containers in the sample container holder, wherein the sample container characteristics include one or more of cap color, cap shape, labels and markers associated with the sample containers, or one or more sample container holder characteristics.

Abstract: Disclosed is an object detection method capable of detecting with high precision information relating to a jointed object from image data. An object detection device (160) detects information relating to an object from image data of images captured of an object having multiple parts connected by joints. The disclosed object detection device (160) is provided with a joint angle extraction unit (161) which extracts the angle of a joint connecting two parts from candidates of the positions of two neighboring parts obtained from the image data, and a part length ratio estimation unit (165) which uses the joint angle to perform the detection described above.

Abstract: Among other things, one or more techniques and/or systems are disclosed for identifying an area of interest comprising a desired object in imagery (e.g., so an image comprising the desired object may be altered in some manner). A determination can be made as to whether a capture event occurs within a proximity mask, where an object is not likely to be out of range if an image of the object is captured from within the proximity mask. For an image captured within the proximity mask, a determination can be made as to whether capture event imagery metadata for the image overlaps a footprint mask for the desired object. If so, the image may be regarded as comprising a discernible view of at least some of the desired object and is thus identified as an area of interest (e.g., that may be modified to accommodate privacy concerns, for example).

Abstract: An operation method of an image sensor includes determining a distance between the image sensor and an object, and activating at least one of a color pixel, a depth pixel and a thermal pixel included in a pixel array of the image sensor based on a determined distance and a reference distance.

Abstract: Automated systems and methods for screening individual plants for increased tolerance or sensitivity to various conditions are provided.

Abstract: Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.

Abstract: A radiation-treatment planning apparatus accesses first information regarding a first image that pertains to a patient's body at a first time as well as second information regarding a second image that pertains to the patient's body at a second, later time. The radiation-treatment planning apparatus then correlates components of the patient's body as appear in the second image with components that appear in the first image while treating the components as comprising rigid structures regardless of whether those components, in fact, are rigid structures. The first information can include segmentation information as pertains to the components. These teachings will accommodate a wide range of components including, but not limited to, organs, portions of organs, and even implanted man-made objects.

Abstract: A system for computer-aided detection uses a computer-implemented network structure to analyze patterns present in digital image slices of a human body and to generate a three-dimensional anatomical model of a patient. The anatomical model is generated by detecting easily identifiable organs first and then using those organs as context objects to detect other organs. A user specifies membership functions that define which objects of the network structure belong to the various classes of human organs specified in a class hierarchy. A membership function of a potentially matching class determines whether a candidate object of the network structure belongs to the potential class based on the relation between a property of the voxels linked to the candidate object and a property of the context object. Some voxel properties used to classify an object are location, brightness and volume. The human organs are then measured to assist in the patient's diagnosis.

Abstract: Disclosed are platforms, systems, computer program products for high throughput, distributed screening and analysis of images by a plurality of human image analysts, including methods of using the same.

Abstract: A monitoring device has a detection target person storage part in which a feature of a face of each detection target person is stored, an image processor that processes images captured with a plurality of imaging devices having different imaging areas, and detects the image in which the detection target person stored in the detection target person storage part is captured, a detection information storage part in which detection information is stored, the detection information including the detection target person, imaging area, and imaging date and time with respect to the image in which the detection target person detected by the image processor is captured, and a reliability calculator that calculates a degree of detection reliability in the image processor based on a time-space rationality, the time-space rationality being determined from a plurality of pieces of detection information on each detection target person.

Abstract: A method of performing facial recognition and tracking of an image captured by an electronic device includes: utilizing a camera of the electronic device to capture an image including at least a face; displaying the image on a display screen of the electronic device; determining a degree of orientation of the electronic device; and adjusting an orientation of scanning lines used to scan the image for performing face detection so that the orientation of the scanning lines corresponds to the orientation of the electronic device.

Abstract: A medical image diagnosis device according to an embodiment of the present invention includes: an imaging unit that takes an image of a subject, with an X-ray generation unit which exposes the subject to X-rays and an X-ray detector which detects X-rays that have passed through the subject, being supported on a supporter; a control unit that controls so as to rotate and move the supporter with respect to the subject and take images of the subject from a plurality of viewpoints; a storage unit that stores image data taken from a plurality of the viewpoints; an image processing unit that classifies a plurality of pieces of the image data stored in the storage unit into a plurality of imaging ranges to generate thumbnail images; and a display unit that displays thumbnail images generated by the image processing unit.

Abstract: An apparatus including a processor configured to move automatically a sub-set of pixels defining a target captured image within a larger set of available pixels in a direction of an edge of the target captured image when a defined area of interest within the target captured image approaches the edge of the target captured image and configured to provide a pre-emptive user output when the sub-set of pixels approaches an edge of the set of available pixels.

Abstract: A microprocessor is operably coupled to a camera from which patient vital signs are determined. A temporal variation of images from the camera is generated and amplified from which the patient vital sign, such as heart rate or respiratory rate, can be determined and displayed or stored.

Abstract: Method for efficient computation of wave equation migration angle gathers by using multiple imaging conditions. Common reflection angle or common azimuth gathers or gathers including both common reflection angles and common azimuth angles are produced as the data are migrated. In the course of either wave equation migration or reverse time migration, the pressures and particle motion velocities that need to be computed are sufficient to also compute the Poynting vector pointing in the direction of source-side (35) or receiver-side (37) wavefield propagation. From that, the reflection and azimuth angles can be computed (38). The seismic images can then be stored in the appropriate angle bins, from which common reflection angle or azimuth data volumes can be assembled (39).

Abstract: A method includes executing, via a data analyzer (122), computer executable instructions that select, without user interaction, a processing protocol (212) from an electronic repository (210) of protocols based on imaging data and non-imaging data corresponding to the patient, processing, via the data analyzer (122), functional imaging data for a subject with the selected processing protocol (212) under a first processing mode, and performing a plausibility check on the processed data.