485 results about "Image processor" patented technology

The invention relates to the technical field of material detection, in particular to a cross-linked polyethylene insulation material impurity full-detection device and system for a high-voltage cable and application, the detection device carries out detection based on single-row continuous flowing insulation material particles, and the detection device comprises a near infrared spectrum imaging unit, a visible light imaging unit and an image processor, and identifying black spot impurities and heterochromatic particles. The full-detection system provides a detection channel for installing full-detection equipment and comprises a current limiting pipe body and a camera obscura structure, and reflection spectrum and surface color information are collected in the camera obscura structure; the full-inspection system further comprises a buffer stock bin, a finished product stock bin, a pneumatic sorting module, a cyclone separator, a cooling fluidized bed and a metal separator. Impurity identification reliability is guaranteed through double optical detection, full-process online detection of insulation material impurities can be achieved, limitation of traditional sampling detection is broken through, full-detection coverage of insulation material particles is achieved, the impurity missing detection risk is eliminated, and the strict requirement of an ultrahigh-voltage cable for insulation material cleanliness is fundamentally met.

The invention relates to the field of image processors and biological medicines, and discloses an NK cell activity rapid detection method based on image processing. The method comprises the following steps: acquiring an unmarked time sequence phase image sequence of an NK cell and target cell co-culture system; performing cell instance segmentation to track individual cells; extracting a morphological dynamic characteristic parameter set of the target cell, wherein the morphological dynamic characteristic parameter set comprises a volume change rate, a phase gradient entropy, a cytoplasm phase fluctuation frequency and a nuclear region phase mean value; inputting the parameters into a pre-trained death state discrimination model, and outputting a death probability; and calculating a killing efficiency index based on the death probability evolution curve, and judging the activity level of the NK cells. The system comprises a phase image acquisition unit, a cell segmentation unit, a feature extraction unit, a death judgment unit and an activity judgment unit. Through unmarked imaging and deep learning fusion analysis, high-precision, real-time, quantitative and ultra-early NK cell activity evaluation is realized, and the method is suitable for clinical instant inspection and immunotherapy monitoring.

The invention provides a clock frequency adjusting method and device, an image processor, equipment and a medium, and relates to the technical field of computers. The method comprises the following steps: receiving current counting information corresponding to at least one preset monitoring event related to the running state of the GPU; constructing a feature vector based on the current counting information; the feature vector is input into a pre-trained prediction model, the load sudden increase probability is obtained, the prediction model is obtained through training based on historical counting information corresponding to a preset monitoring event and load sudden increase labeling data, and the load sudden increase probability represents the probability that the operation load of the GPU is to be suddenly increased; and adjusting the current clock frequency of the GPU based on the load sudden increase probability. According to the scheme, the feature vector can be constructed based on the monitoring event counting information, the load sudden increase probability is obtained through the prediction model, dynamic adjustment of the clock frequency is achieved, and then the response efficiency and the adjustment accuracy of GPU clock frequency adjustment are improved.

The embodiment of the invention relates to the technical field of image processing, and discloses a QNX-based image processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring timestamp data of a hardware clock, and injecting the timestamp data into each frame of original image data based on a hardware counter to generate standard image data; configuring a shared buffer area, and mapping the standard image data to a user space at least based on the shared buffer area; monitoring the load condition of the image processor GPU in real time; and dynamically adjusting the panoramic image synthesis mode at least based on the standard image data of the user space and the load condition of the GPU. The problem that the panoramic image cannot be generated in time due to serious GPU load is at least solved, the vehicle use safety of a user is guaranteed, and the vehicle use experience of the user is improved.

A harvesting machine is configured to gather harvested material into the harvesting machine during a harvesting operation. A conveyance subsystem configured to convey the harvested material from the harvesting machine to a receiving vehicle during the harvesting operation. An image capture system generates an image of the receiving vehicle and an image processor uses a machine learning system to recognize a boundary of the receiving vehicle. A control system determines a position of the receiving vehicle boundary relative to the harvesting machine, and generates a control signal based on the identified receiving vehicle boundary.

An image-forming system includes an image-forming unit that forms an image of a print job on a sheet having a trimming region based on an image-forming condition; and a processor. The image of the print job includes first and second user images. The processor controls the image-forming unit to form a pattern for adjustment in the trimming region, obtains read image data related to the pattern for adjustment formed on the sheet, and adjusts the image-forming condition based on the read image data. The processor controls a display to display a print preview that represents: the first user image in a print region of the sheet that is different from the trimming region, the second user image in the trimming region, and the pattern for adjustment in the trimming region.

A device comprising an image processor configured to implement: a first machine learning model for performing restoration processing on degraded image data; and a second machine learning model for recognizing areas of an image requiring processing emphasis during the restoration processing, wherein the output of the second machine learning model is an input to the first machine learning model to optimize the restoration processing.

A processor acquires two radiation images with contrast based on a first characteristic corresponding to a first imaging condition. It derives a body thickness distribution of a subject from at least one of the images and removes scattered ray components from both images using the first characteristic. A soft part image and a bone part image representing respective regions of the subject are derived from the two images. These images, based on the first characteristic, are converted into soft and bone part images with contrast based on a second characteristic corresponding to a second imaging condition, using the body thickness distribution and both characteristics. Finally, the processor adds the converted soft and bone part images to derive a processed radiation image with contrast based on the second characteristic.

A battery pack detection device and a battery pack detection method. The battery pack detection device comprises: a gantry truss (1), a first camera set (2), second camera sets (3), and a processor. The gantry truss (1) comprises a first frame (12) and a second frame (11), wherein the first frame (12) comprises first support beams (121), and a first linear element (42) is provided on the first support beams (121); and the second frame (11) comprises second support beams (111), and a second linear element (52) is provided on the second support beams (111). The first camera set (2) is slidably arranged on the first linear element (42) in a second direction, and is used for capturing top surface images of a battery pack. Two opposite second camera sets (3) each are slidably arranged on the second linear element (52) in the second direction, the second camera sets (3) are rotatably connected to the second linear element (52) around a third direction, and the second camera sets (3) are used for capturing side surface images and end surface images of the battery pack. The processor is used for receiving the top surface images, the side surface images, and the end surface images, and detecting the appearance of the battery pack on the basis of the top surface images, the side surface images, and the end surface images.

A method for altering the aesthetic appearance of a retailer graphical user interface is provided. The method includes a retailer online service receiving a guest-submitted content, and an image processor of the retailer online service performing image processing of the guest-submitted content to generate a plurality of pixels. The method also includes the image processor identifying a color of each pixel of the plurality of pixels, and the image processor grouping each of the plurality of pixels into a plurality of clusters based on the color of each pixel of the plurality of pixels. Also, the method includes the image processor identifying a representative color for each of the plurality of clusters to develop a color scheme for the guest-submitted content. The method further includes implementing the color scheme when displaying the guest-submitted content onto the retailer graphical user interface.

The invention discloses a fundus imaging system, which includes an optical path folding lens set, a virtual reality display, visible light fixation lamps, an illumination module, an image sensor, and a processor. The virtual reality display and the human eye are located on different sides of the optical path folding lens set. The virtual reality display forms images on the retina of the fundus of the human eye through the optical path folding lens set. The visible light fixation lamps are sequentially turned on to guide the eyeball of the human eye to rotate. When the visible light fixation lamp is turned on, the illumination module emits illumination light through the optical path folding lens set to illuminate the retina. The retina reflects the illumination light to form fundus light. The image sensor receives fundus light through the optical path folding lens set to form a sub-fundus image. The processor stitches all sub-fundus images into a full-fundus image and drives the virtual reality display to display the full fundus image.

A projection apparatus (102) for image projection of an image on a subject (114). The apparatus (102) includes an image detector (104) having a detector field of view, where the image detector (104) is configured to detect an input image of the subject 5 (114). The processor (204) is configured to generate an output image based on the input image, where the output image includes content representing at least a portion of the content of the input image. An image projector (106) has a projector field of view, where the projector field of view overlaps the detector field of view, and where the image projector (106) is configured to project the output image on a target surface (208) 10 of the subject (114).

Provided is a device including a communication module that receives a drone image from a drone, and a processor that generates an AR image by merging the virtual object in virtual space with the drone image. The processor converts first location information of the drone in real space into second location information in virtual space, generates the AR image based on a field of view (FOV) of a virtual camera positioned at a location corresponding to the second location information in the virtual space, calculates a similarity between the AR image and the drone image, and corrects the second location information when the calculated similarity is lower than a predetermined similarity.

The invention discloses an image processing method, a photographing display method, an image processor and electronic equipment, and the image processing method comprises the steps: obtaining first image data with an initial resolution in real time; in the first mode, executing a first processing process on each frame of first image data to form second image data, and displaying the second image data; in response to the target triggering operation, switching to a second mode, and obtaining target first image data in the multiple frames of first image data; executing a second processing process on the target first image data to form third image data, and storing the third image data; wherein the resolution of the image data of the first processing process is smaller than that of the image data of the second processing process; the resolution of the third image data is greater than the resolution of the second image data.

A Display System and Display Method for Augmented Reality, comprising a display device displays a light-emitting mark, and an augmented reality wearable device comprising a wearable body equipped with a light sensor. The light sensor detects the light-emitting mark and a flashing signal, then passes both the light-emitting mark and the flashing signal to a processor. The processor compares the flashing signal and a reference flashing signal, and when they match and the light-emitting mark matches a reference light image, it controls an image capturing device on the wearable body to capture a light-emitting mark image. The processor calculates a distance information and an angular information between the image capturing device and the light-emitting mark based on the light-emitting mark image, generating a projection parameters accordingly. The processor controls the projection device to adjust a projection image of an object according to the projection parameters.

A system includes an image signal processor (ISP). The ISP is a discrete hardware unit and includes a line buffer, a memory controller, and one or more image processors. The memory controller is configured to assign blocks within the line buffer to a plurality of contexts, and for each of the contexts: receive one or more lines of image data associated with the respective context, and storing the one or more lines of the image data associated with the context in a respective block assigned to the respective context. The one or more image processors of the ISP are configured to process, for each respective context of the plurality of contexts, the one or more lines of the image data stored in the line buffer associated with the respective context.

An image processing apparatus comprises a receiver (401) receiving an image comprising first pixel brightnesses encoded in accordance with a perceptually uniform Electrical to Optical Transfer Function, EOTF. A converter converts this to second pixel brightnesses encoded in accordance with an EOTF representing a logarithmic mapping from optical light values to the second pixel brightnesses and an image processor circuit (411) applies a brightness adjustment processing to the second pixel brightnesses. The converter (410) comprises a first converter (601, 605) generating intermediate pixel brightnesses applying a logarithm function to the first pixel brightnesses A second converter (603) generates intermediate pixel brightnesses by applying a second logarithm function to an output value of the perceptually uniform EOTF for the first pixel brightness divided by a divisor equal to the first pixel brightnesses raised to a power of an exponent having a value exceeding 1. A combiner generates the second pixel brightnesses by combining the intermediate pixel brightnesses.

An apparatus includes a processor configured for communication with an intravascular imaging catheter and a display. The processor controls the catheter to obtain intravascular images while the catheter is moved through a blood vessel including a lesion. The processor generates, based on the images, a comparison view for planning a stent to provide treatment for the lesion including a first stent option area and a second stent option area displayed simultaneously on the display. The first stent option area includes a visual representation of the blood vessel, a first virtual stent with a first length, intravascular images or metrics associated with the first stent length. The second stent option area includes the visual representation of the blood vessel, a second virtual stent overlaid on the visual representation and comprising a different, second length; and intravascular images or metrics associated with the second stent length.

A vessel harvesting system removes a target vessel from a patient for use as a bypass. An elongated harvesting instrument inserts into a body along a path of a target vessel which includes at least one side branch. The harvesting instrument includes a cutter for applying thermal energy to sever and cauterize the side branch. An endoscopic camera captures visible-light images from a distal tip of the instrument within a dissected tunnel around the target vessel. A thermal camera captures thermograms coinciding with the visible-light images to characterize a temperature present at respective surfaces in the tunnel. An image processor (e.g., an electronic controller) renders a video stream including the visible-light images and an overlay depicting the temperatures present on at least some of the respective surfaces when applying the thermal energy. A display presenting the video stream and overlay to a user can be an augmented-reality display.

To provide an image processing device, a terminal, an editing method, an image processing method, and a program capable of obtaining a plurality of images in which a subject in a recommended area is photographed at an appropriate position in a selected layout.SOLUTION: The image processing apparatus includes a processor. The processor displays the live view image on the screen. The processor displays a recommended region indicating a recommended position of the live view image in the live view image. The processor acquires a plurality of captured images each having an outer edge larger than an outer edge of the recommended area in a state where the recommended area is displayed in the live view image. The processor outputs a plurality of adjusted images based on the plurality of captured images in the selected layout.SELECTED DRAWING: Figure 13

The utility model provides a near-to-eye display device. The near-to-eye display device comprises a frame body which is provided with a near-to-eye side and an environment side; the near-to-eye display module is arranged on the frame body and is used for generating a digital image; the second optical element is arranged on the light emitting side of the near-to-eye display module and faces the near-to-eye side; the second optical element comprises a first active lens and a first conductive piece which is electrically coupled with the first active lens; the third optical element is connected with the frame body and faces the near-eye side; the third optical element and the second optical element are arranged at intervals; the third optical element comprises a second active lens and a second conductive piece which is electrically coupled with the second active lens; the processor is electrically connected with the first conductive part, the second conductive part and the near-to-eye display module respectively; the processor is configured to control the curvature change of the first active lens through the first conductive piece, and clearly project a digital image without projecting an environment image for a user; the processor is further configured to control the curvature change of the second active lens through the second conductive piece, an environment image is clearly projected for the user without projecting a digital image, and the zooming efficiency of the user is effectively improved.

An image processing apparatus includes an input device configured to receive an image, an image processor configured to enhance a sharpness of the image, and an output device configured to output the image with the enhanced sharpness, where the image processor is further configured to determine a weight of a gain for each pixel included in an edge area of the image based on a similarity between each pixel and adjacent pixels and apply a modified gain, which reflects the determined weight, to each pixel included in the edge area of the image.

A cupholder temperature control system including a pressure sensor for detecting an object within a cupholder, a temperature sensor for detecting a current object temperature of the object, an optical sensor for capturing an image of the object, a processor to perform an image recognition algorithm to detect at least one of a logo, a bar code and a quick response code on the object, to determine the object is a beverage container in response to a detection of the at least one of the logo, the bar code and the quick response code, to generate a control signal in response to the current object temperature differing from an ambient temperature by a threshold amount and the object being a beverage container, and a heat transfer system configured to maintain the current object temperature of the object in response to the control signal.

An ultrasound imaging disclosure according to an embodiment of the present disclosure relates to an ultrasound imaging apparatus configured to irradiate ultrasonic waves to an object to which an ultrasonic contrast agent is administered, receive an echo signal reflected from the object, and analyze a contrast enhanced ultrasound image for the object, the ultrasound imaging apparatus including an image processor configured to set a region of interest in the ultrasound image, and generate a time intensity curve representing brightness of each frame of the ultrasound image within the set region of interest and a curve fitting model representing a tendency of the time intensity curve according to a predetermined mathematical model.

The utility model relates to the technical field of instant freezers, and discloses a double-spiral instant freezer with an image recognition function. The technical problems that in the prior art, traditional freezing equipment usually occupies a large area and is low in freezing efficiency, foreign matter detection depends on manpower in the freezing process, and the labor cost is high are solved. Two rotating disc assemblies are arranged at the positions, facing coil pipes, of the two sides of the evaporator, a double-helix conveying belt is installed on the rotating disc assemblies, an image recognition module is arranged on the double-helix conveying belt, the image recognition module comprises an image collector and an image processor, and a deep learning model is loaded in the image processor to detect and recognize foreign matter. The image processor is connected with the foreign matter removing structure through the controller. The double-spiral conveying belt is adopted, the freezing efficiency and the space utilization rate are improved, the image recognition module is inherited, foreign matter is detected in real time in the product freezing process, and the view screen safety and the product quality are improved.

Systems and methods are described, and one system includes a three-dimensional (3D) geometric tracker connected to a multiband (MB) inverse synthetic aperture array radar (ISAR), and a classification / alarm logic. The MB ISAR includes spatially distributed radar transmitters (TXs) and receivers (RXs), a TX / RX allocation logic, and a tomographic (TM) image logic. The TX / RX allocation logic is configured to receive 3D tracking data from the 3D geometric tracker, indicating subject 3D position and 3D orientation and, in response, dynamically allocate TXs and RXs to maintain MB illumination of and maintain MB reception of multiple scatter angles from subjects. The TM image processor is configured to construct TM images from the scatter angles, using 3D tracking data, for input to the classification and alarm logic. Optionally, the TX / RX resource allocation logic is configured to receive situation feedback data, for feedback adjusting of allocation of TXs and RXs.

A system including a camera and a processor is disclosed. The camera is configured to capture a plurality of images of an area of interest in a geographical area. The processor is configured to execute an image processing algorithm on the images, and determine a plurality of parameters in real-time associated with the area of interest based on the images. The plurality of parameters may include a distance of each user, of a plurality of users, from adjacent users in the area of interest. The processor may further determine that the distance associated with at least one user, of the plurality of users, is less than a predefined threshold. The processor may additionally estimate, based on the images, a characteristic of relatability between the user and an adjacent user, and transmit the plurality of parameters and an information associated with the characteristic to an external device.

A vehicular vision system includes a camera disposed at a vehicle equipped with the vehicular vision system and viewing exterior of the vehicle, the camera capturing image data. The system includes an electronic control unit (ECU) with electronic circuitry and associated software. The electronic circuitry of the ECU includes an image processor for processing image data captured by the camera to detect presence of objects within a field of view of the camera. The vehicular vision system, at least in part via processing at the ECU of image data captured by the camera, detects edges of an object. The vehicular vision system, based at least in part on the detected edges of the object extracts lines representative of the detected edges and performs slope-based validation of the extracted lines. The vehicular vision system determines corners of the object by determining intersections of the validated extracted lines.

The application discloses a game picture acquisition method and device, a medium and a program product, and relates to the technical field of computers. The method comprises the following steps: according to the mode characteristics of a target instruction for controlling the sharing permission of a texture resource, an instruction sequence in a graphics rendering library is analyzed by using an assembly engine to identify the target instruction; the target instruction is modified, and a shared texture object is created in the video memory of an image processor after the modification; and a game rendering texture is copied to the shared texture object, so that an external acquisition process can obtain a real-time game picture by accessing the shared texture object. The target instruction for controlling the sharing permission of the texture resource in the graphics rendering library can be automatically located and modified, manual address updating and version updating are avoided, and the stability and reliability of game picture acquisition are improved.