Patent classifications
H04N13/239
COMPUTER-IMPLEMENTED TRAINING SYSTEM AND METHOD FOR USER-INTERACTIVE TRAINING OF METHODS PERFORMABLE IN AN IVD LABORATORY SYSTEM
The present disclosure refers to a computer-implemented training system for user-interactive training of a plurality of in-vitro diagnostic (IVD) methods performable in an IVD laboratory system, comprising: one or more data processors; a memory device connected to the one or more data processors; a user interface provided with an output device having a display device and an input device configured to receive user input; and one or more software applications running on the one or more data processors and having a plurality of application modules. The plurality of application modules is further configured to control, in response to receiving user input, output of a plurality of views of the IVD laboratory system through the display device according to view output control data indicative of view parameters assigned to a view output mode from a plurality of view output modes; receive a training mode selection user input indicative of a user selection for an IVD method to be trained from the plurality of methods having an assigned view output mode of the plurality of view output modes.
COMPUTER-IMPLEMENTED TRAINING SYSTEM AND METHOD FOR USER-INTERACTIVE TRAINING OF METHODS PERFORMABLE IN AN IVD LABORATORY SYSTEM
The present disclosure refers to a computer-implemented training system for user-interactive training of a plurality of in-vitro diagnostic (IVD) methods performable in an IVD laboratory system, comprising: one or more data processors; a memory device connected to the one or more data processors; a user interface provided with an output device having a display device and an input device configured to receive user input; and one or more software applications running on the one or more data processors and having a plurality of application modules. The plurality of application modules is further configured to control, in response to receiving user input, output of a plurality of views of the IVD laboratory system through the display device according to view output control data indicative of view parameters assigned to a view output mode from a plurality of view output modes; receive a training mode selection user input indicative of a user selection for an IVD method to be trained from the plurality of methods having an assigned view output mode of the plurality of view output modes.
IMAGE PROCESSING DEVICE
An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.
IMAGE PROCESSING DEVICE
An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.
Depth image processing method, depth image processing apparatus and electronic device
Disclosed are a depth image processing method, a depth image processing apparatus (10), and an electronic device (100). The depth image processing method is applied in the electronic device (100) including a depth image capturing apparatus (20) configured to capture an initial depth image. The depth image processing method includes: obtaining (01) target depth data for a number of regions of interest of the initial depth image; determining (02) whether the number of regions of interest is greater than a predetermined value; grouping (03), in response to the number of regions of interest being greater than the predetermined value, the number of regions of interest based on the target depth data to obtain a target depth of field; obtaining (04) a target blurring intensity based on the target depth of field; and blurring (05) the initial depth image based on the target blurring intensity to obtain a blurred depth image.
Depth-based image stabilization
Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.
Depth-based image stabilization
Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.
Stereo camera apparatus, vehicle, and parallax calculation method
A stereo camera apparatus includes a first imaging unit including a first imaging optical system provided with a plurality of lens groups, and a first actuator configured to change a focal length by driving at least one of the plurality of lens groups of the first imaging optical system; a second imaging unit including a second imaging optical system provided with a plurality of lens groups, and a second actuator configured to change a focal length by driving at least one of the plurality of lens groups of the second imaging optical system; a focal length controller configured to output synchronized driving signals to the first and second actuators; and an image processing unit configured to calculate a distance to a subject by using images captured by the first imaging unit and the second imaging unit.
Stereo camera apparatus, vehicle, and parallax calculation method
A stereo camera apparatus includes a first imaging unit including a first imaging optical system provided with a plurality of lens groups, and a first actuator configured to change a focal length by driving at least one of the plurality of lens groups of the first imaging optical system; a second imaging unit including a second imaging optical system provided with a plurality of lens groups, and a second actuator configured to change a focal length by driving at least one of the plurality of lens groups of the second imaging optical system; a focal length controller configured to output synchronized driving signals to the first and second actuators; and an image processing unit configured to calculate a distance to a subject by using images captured by the first imaging unit and the second imaging unit.
Camera module and array camera module with circuit board unit and photosensitive unit and manufacturing method thereof
A camera module and array camera module with circuit board unit and photosensitive unit and manufacturing method thereof is provided. The array camera module includes two or more camera lenses and a circuit unit. The circuit unit includes a circuit board portion for electrically connecting two or more photosensitive sensors of the array camera module, and a conjoined encapsulation portion integrally encapsulated on the circuit board portion. The camera lenses are respectively arranged along the photosensitive paths of the photosensitive sensors.