903 results about "Image processor" patented technology

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

A system includes a processor circuit that receives intraluminal images obtained by an intraluminal imaging device during movement through a patient's body lumen. The processor circuit outputs, to a display, a visual representation of user guidance in response to the processor circuit identifying, among the intraluminal images, a candidate intraluminal image. The user guidance includes stopping the movement and instructing the patient to initiate deep breathing. The processor circuit receives additional intraluminal images obtained by the intraluminal imaging device while the movement is stopped and the patient is deep breathing. The processor circuit determines if a shape and / or size of the body lumen changes in the additional intraluminal images. The processor circuit accepts or rejects the candidate intraluminal image based on if the shape and / or size of the body lumen changes. The processor circuit outputs, to the display, a visual representation corresponding to accepting or rejecting the candidate intraluminal image.

An image processor for a medical observation device includes a color conversion function, The image processor is configured to retrieve an input pixel of a digital input color image and a location of the input pixel in the input color image, and apply the color conversion function to the input pixel to generate an output pixel in a digital output color image. The color conversion function depends on the location of the input pixel.

This invention provides an image processor, a processing method, a storage medium, and a mixed reality display system. The image processor includes: a first color management module, whose input is connected to a rendering module, for acquiring virtual layer data from the rendering module and performing first color processing on it; a second color management module, whose input is connected to a camera module, for acquiring real-world layer data from the camera module and performing second color processing on it; a layer blending module, whose inputs are respectively connected to the first and second color management modules, for performing layer blending processing on the color-processed virtual layer data and real-world layer data to determine mixed image data; and a third color management module, whose input is connected to the layer blending module, for acquiring mixed image data from the layer blending module, performing third color processing on it, and outputting the third-color-processed mixed image data to a mixed reality display.

The invention relates to the field of robot automation control, in particular to a target board pose tracking device and method based on deep learning, the device comprises a sensor, a target board, an image processor and a displayer, the target board is arranged at the tail end of a mechanical arm, and the sensor is used for collecting image data of the target board and the mechanical arm; the sensor is connected with an image processor through a data line, a software system is integrated in the image processor, the image processor is connected with a displayer, and the displayer displays the posture of the mechanical arm. A software system of the device is based on a deep learning tracking method, an imaging quality deterioration mechanism is considered, imaging quality deterioration data is constructed in a data simulation mode, a simulation data set is adopted to train a pre-training model, then part of data is collected in an artificial simulation environment to serve as real data to be used for training a target detection model, and a target detection result is obtained. And on the basis of continuous frame depth detection features and motion continuity, the accuracy and robustness of target real-time tracking are improved, and finally, an accurate pose result is obtained in combination with standard template data.

A pallet inspection system includes a conveyor to move a pallet that is to be inspected. The pallet includes a top deck and a bottom deck separated by spaced apart support blocks positioned therebetween, with nails being used to secure the top and bottom decks to the support blocks. Cameras are positioned to generate images of the pallet as the pallet is moved on the conveyor. A processor is coupled to the cameras and receives the images for processing. The processing includes executing a first algorithm on the images to tag the images having support blocks visible therein, and executing a second algorithm on the tagged images to detect nails having exposed tips.

Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.

Systems, devices, and methods for integrating images from various sources and using the same to guide endoscopic procedures are disclosed. An endoscopic system comprises an endoscope to be positioned and navigated in a patient anatomy, and a processor configured to reconstruct a three-dimensional (3D) image of an anatomical target based on at least two images of the anatomical target. The at least two images can be calibrated and registered using respective landmarks. One or more secondary images can be integrated with the reconstructed 3D image. The reconstructed image or the integrated image, along with the endoscope navigation plan, can be displayed to a user. Based on the reconstructed or the integrated image, the processor can generate an endoscope navigation plan for use in an image-guided endoscopic procedure.

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 embodiment of the invention belongs to the technical field of display, and provides a display device and method, a storage medium and a program product, the display device comprises a display screen, an image processor, a backlight module, a plurality of backlight driving units and a controller, the backlight module comprises backlight sources of various different colors, and the controller is connected with the display screen. Each backlight driving unit corresponds to a backlight source of one color, and the controller is configured to receive a synchronizing signal sent by the image processor and image data of a next frame of picture; the synchronizing signal is used for indicating the controller to display the next frame of picture; determining M main colors of the sub-picture of the next frame of picture according to the synchronization signal; the backlight source corresponding to the main color is a backlight source needing to be lightened when the sub-picture is displayed; and controlling a backlight driving unit to perform backlight control according to the image data and the main color. The main color of the sub-picture is identified through the synchronizing signal, the backlight driving unit does not process backlight data of a non-sub-picture in subsequent processing, and the data volume processed by the backlight driving unit is greatly reduced, so that the backlight delay is reduced, the color separation phenomenon is inhibited, and the user experience is improved.

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 provides a testing device and an interface resistivity detection method, and relates to the field of semiconductors. The testing device is used for detecting a to-be-tested sample. The testing device comprises a sample table, and an image detection device, a first detection device and a second detection device which are arranged on the sample table, the testing device further comprises a current source, a voltage detection device and a processor. The current source and the voltage detection device are connected with the first detection device and the second detection device. Wherein the image detection device is used for acquiring an image of a to-be-detected sample placed on the sample table; the processor is used for controlling the first detection device to be in contact with a first electrode in the to-be-detected sample and controlling the second detection device to be in contact with a second electrode in the to-be-detected sample according to the image, displayed by the image detection device, of the to-be-detected sample; the current source is used for providing constant current for the to-be-tested sample; the voltage detection device is used for detecting a voltage value between the first electrode and the second electrode of the to-be-detected sample.

A LIDAR system includes at least one laser light source, at least one light-sensitive detector including a plurality of pixels, and at least one processor configured to cause the at least one laser light source to project laser light toward a field of view of the LIDAR system, generate a point cloud including distance information relative to objects in the field of view of the LIDAR system based on output signals generated by the at least one light-sensitive detector in response to received laser light return signals reflected from the objects in the field of view, and generate an image representative of at least a portion of the field of view of the LIDAR system based on output signals generated by the at least one light-sensitive detector in response to non-laser light incident upon the at least one-light sensitive detector. The processor is configured to compare the point cloud to the image to detect whether inconsistencies exist between representations in the point cloud and corresponding representations in the image of objects from the field of view, and, in response to detection of one or more inconsistencies between representations in the point cloud and corresponding representations in the image of objects from the field of view, adjust one or more aspects of the generated point cloud to provide an updated point cloud.

The invention provides a long-depth-of-field integrated imaging display, a long-depth-of-field integrated imaging method and a long-depth-of-field integrated imaging system. The long-depth-of-field integrated imaging display comprises an image processor, a display, a microlens array and a quartic phase mask, the pupil position of each micro lens of the micro lens array is correspondingly integrated with a quartic phase mask; the image processor is used for acquiring a to-be-displayed image and constructing an element image array; performing inverse convolution processing on each element image in the element image array based on a preset phase mask function, and constructing a preprocessed element image array matrix; performing negative value processing on the preprocessed element image array matrix to obtain a preprocessed element image array; and the display is used for displaying the preprocessed element image array, so that the preprocessed element image array generates a long depth-of-field image through the micro-lens array and the quartic phase mask. According to the invention, defocus blurring is effectively suppressed without introducing an extra complex optical structure, a long depth-of-field image is generated on the premise of ensuring the image contrast, and the integrated imaging display quality is improved.

The embodiment of the utility model discloses a detection device and self-walking equipment. The detection device comprises a bearing assembly; the first laser assembly is fixed on the bearing assembly; the first laser assembly is used for emitting line laser to at least two different areas. Wherein the first laser assembly comprises a light source; the first acquisition assembly is arranged on the bearing assembly and corresponds to the first laser assembly in position; the first acquisition assembly is used for acquiring environment images, corresponding to the line laser emitted by the first laser assembly, of at least two different areas; and the processor is used for determining the distance between the objects in the at least two different areas based on the environment images of the at least two different areas acquired by the first acquisition assembly.

A portable, handheld system for target measurement is provided. The system comprises an imaging assembly comprising two cameras, separated by a fixed distance, and a processor coupled to the imaging assembly. The processor activates the imaging assembly to capture two images of the target by using the two cameras. The processor further partitions the two acquired images of the target into image elements and analyzes image elements to determine a pixel shift value between corresponding image elements in the two images. Next, the processor calculates a parallax value between the corresponding image elements by using the determined pixel shift value and computes measurement data, such as depth, based on the calculated parallax value to output the measurement data to a display of the imaging system.

A vehicle, and a system and method of navigating the vehicle. The system includes a camera and a processor. The camera obtains an image of a road upon which the vehicle is moving. The processor is configured to extract a feature of the road from the image, perform a lane detection algorithm to detect a set of lane markers in the road using the image and the feature, and move the vehicle along the road by tracking the set of lane markers.

A vehicular driving assist system includes a plurality of cameras and a plurality of sensors disposed at a vehicle. The plurality of sensors includes at least one selected from the group consisting of a plurality of radar sensors and a plurality of lidar sensors. Electronic circuitry of an electronic control unit includes an image processor for processing image data captured by the cameras and a processor for processing sensor data captured by the sensors. The system, while the vehicle is travelling in a forward direction and responsive to processing of image data captured by the cameras and sensor data captured by the sensors, is operable to determine presence of an object approaching a path of travel of the vehicle. The system, responsive to determining presence of the object approaching the path of travel of the vehicle, communicates an alert to a driver of the vehicle.

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.

A vehicular driver monitoring system includes a vehicular interior rearview mirror assembly, with a mirror head that accommodates a mirror reflective element and a driver monitoring camera. The driver monitoring camera, with the mirror head adjusted to provide a rearward view for a driver of the vehicle, views at least a driver's head region of the interior cabin of the vehicle. A forward-viewing camera views a region exterior and at least forward of the vehicle and through a windshield of the vehicle. The driver monitoring camera and the forward-viewing camera transfer image data to an electronic control unit (ECU) that includes an image processor. The ECU is accommodated by the mirror head. The system, based on processing at the ECU of image data captured by the driver monitoring camera and image data captured by the forward-viewing camera, performs a driver monitoring function of the vehicle.

The invention discloses a fragment task processing method and device, equipment, a storage medium and a program product, and the method comprises the steps: receiving a fragment task corresponding to a block through a task distribution unit; segmenting the fragment task to obtain at least two fragment sub-tasks; processing the at least two fragment subtasks in parallel through at least two processing units; wherein the fragment subtask is a pixel processing task used for processing at least two pixel blocks in the image block; the at least two pixel blocks are located in the same group of pixel sub-regions, the sizes of all the pixel sub-regions are the same, and the number of the pixel sub-regions in different groups is the same and the pixel sub-regions correspond to different processing units. According to the scheme, load balancing between the processing units corresponding to the at least two fragment subtasks can be realized, so that the performance of the image processor is improved.

The data processing method comprises the steps that a query vector matrix, a key vector matrix and a value vector matrix are obtained, and the query vector matrix, the key vector matrix and the value vector matrix are all obtained through calculation based on an input sequence; reading an attention mask from a memory of the image processor, wherein the attention mask is uploaded by a user or is generated by an element arrangement rule specified by the user; based on an attention mask, calculating the query vector matrix, the key vector matrix and the value vector matrix to obtain a reasoning result related to the input sequence, the attention mask being used for reconstructing a second sub-matrix, and the second sub-matrix being used for obtaining the reasoning result; wherein each row in the second sub-matrix is a row selected from the attention mask; or, each row in the second sub-matrix is obtained by constructing sequentially adjacent elements in one row of the attention mask, the row number of the attention mask is smaller than the row number of the query vector matrix, and the column number of the attention mask is smaller than the row number or the column number of the key vector matrix. According to the method, the video memory occupation of the attention mask can be reduced.

Disclosed is an electronic device. The electronic device includes: a communication unit configured to perform communication with a server device storing an artificial intelligence (AI) model that performs computation in an encrypted state; a memory configured to store a plurality of images; a processor configured to divide each of the plurality of images into a plurality of divided images and list all the divided images in a form of a one-dimensional vector to perform slot encoding, and configured to obtain CinS-encoded data in a form of a frequency signal by performing discrete Fourier transform (DFT) on slot-encoded data in units of slots corresponding to each image and transmit a homomorphic ciphertext obtained by performing homomorphic encryption on the CinS-encoded data to the server device through the communication unit; and a display.

Display systems, media, and methods. Pixels of an image former form an image. Each pixel has a first color element to propagate a first amount of a first light having a first wavelength, based on a first electrical stimulus, and a second color element to propagate a second amount of a second light having a second wavelength, based on a second electrical stimulus. A display surface presents the image across a plurality of display surface locations. A processor executes instructions to scale the first electrical stimulus of each pixel of the image former by a first light scale factor, scale the second electrical stimulus of each pixel of the image former by a second light scale factor, and apply a pixel shading map to the image former to independently adjust, for each pixel of the display, the first amount relative to the second amount.

A medical support device includes a processor. The processor is configured to acquire a characteristic of each of a plurality of observation target regions, the plurality of observation target regions being recognized by performing a recognition process on a medical image in which the plurality of observation target regions appear. The processor is configured to display the medical image in a first display region. The processor is configured to display, in accordance with the characteristic, a plurality of extracted images in a second display region outside the first display region, the plurality of extracted images being images in which the plurality of observation target regions have been individually extracted from the medical image.

A video analytic worker safety monitoring system includes at least one video camera having a field of view including a defined safety zone in a workplace, the defined safety zone including or being proximate to a workplace hazard such as an electrical hazard, a machine hazard, or a medical procedure hazard. An image processor receives a video feed from the at least one camera, wherein the image processor is configured to, based on image analysis of the received video feed, detect worker safety deficiency events.

A radiation image processing apparatus includes a hardware processor that obtains radiation images of a subject captured under imaging conditions different from one another, and an image processor that corrects a pixel value of at least one radiation image of the radiation images, and combines the radiation images to obtain one composite image. Each of the radiation images has an image overlap area with one or more other radiation images of the radiation images. The image processor corrects the pixel value of the at least one radiation image such that a maximum value of the pixel value of the at least one radiation image is equal to or smaller than a maximum value of an image gradation.

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.