1294 results about "Image processor" patented technology

The embodiment of the invention provides an image processor, an image rendering method and electronic equipment, and is applied to the technical field of image processing. The image processor comprises an acquisition module used for acquiring a plurality of fragments. The first rendering module is used for executing first rendering processing on the multiple fragments, and the first rendering processing comprises the steps that visibility information of the multiple fragments is determined according to the depth information of the multiple fragments, and the visibility information is updated according to a removing instruction in a rendering task, the visibility information is used for indicating at least one of the following items: at least one visible fragment in the plurality of fragments or visible pixels of the at least one visible fragment. And the second rendering module is used for executing second rendering processing on the at least one visible fragment according to the visibility information to obtain the first image. According to the embodiment of the invention, the recognition and elimination of the invisible fragments and / or the invisible pixels are realized through the operation, the processing amount and the power consumption of image rendering are reduced, and the image processing precision is improved.

The disclosed invention relates to a method for processing image data of an image sensor comprising a matrix of light sensitive elements and a plurality of lens elements and / or filter elements arranged in a pixel matrix in front of a finer sub-pixel matrix of light sensitive elements. A group of light sensitive elements are placed behind a common lens element and / or a common filter element to provide sub-pixel values for a respective position in the pixel matrix. Said image sensor is adapted to capture image data for a plurality of views, wherein each view comprising a matrix of a selected group of sub-pixel values of the pixel matrices captured by the matrix of light sensitive elements.According to the invention, for each captured view of the image, first variations of sub-pixel values in the respective view are determined separately from other views of the same image. Second variations of sub-pixel values related to the same position in the pixel matrix behind a respective lens element and / or filter element are determined in a set of views of the same image. The image data for the image are processed by use of the determined first and second variations.

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.

The invention discloses a fan blade surface image acquisition system and acquisition method based on a galvanometer. The wide-angle camera is right opposite to a fan blade, the galvanometer control module is arranged right below the wide-angle camera, the high-magnification camera is arranged on the side of the galvanometer control module in the mode of facing the galvanometer control module, and the optical axis of the high-magnification camera is perpendicular to the optical axis of the wide-angle camera. The wide-angle camera and the high-magnification camera are respectively used for shooting a global surface image and a local surface image of the fan blade, and the wide-angle camera, the high-magnification camera and the galvanometer control module are electrically connected with the image processor. The variable-view camera module is constructed through the two cameras, synchronous acquisition of high-resolution image information of the surface of the fan blade under the large view is realized by combining the two-dimensional galvanometer, the problems of unclear imaging of the blade image, low acquisition efficiency and the like are solved, the health state monitoring and defect repairing of the blade in a wind power project are realized, and the method is suitable for popularization and application. The method has important theoretical significance and application value.

The invention discloses a multi-scale lightweight brain tumor segmentation method based on improved YOLOv8n-Seg, belongs to the technical field of medical image processor artificial intelligence, and designs a novel down-sampling module FLRDown fusing low-rank convolution and Fourier transform to replace standard convolution operation in a YOLOv8n-Seg backbone network. Further improvement is carried out on the basis of a SimAM attention mechanism, and a novel attention module-AdaSimAM is provided; on the basis of an original YOLOv8n-Seg segmentation header, an LCSDSH segmentation header network is designed, the structure of the header network is optimized, and redundant parameters are reduced. According to the method, a structure optimization and feature enhancement mechanism is introduced, the calculation complexity of the model is effectively reduced, meanwhile, the perception ability for a small target area is enhanced, the robustness and generalization ability of the model in multi-scale tumor recognition are improved, and therefore the method is more suitable for the actual requirement for automatic segmentation of the brain tumor in clinical practice.

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.

The invention relates to the technical field of image exposure, in particular to an image exposure system of code scanning equipment. The system comprises a CMOS chip which is internally provided with an automatic exposure unit and is used for collecting images and counting the brightness mean value of each frame of image; wherein the CMOS chip acquires an image in a first mode in a stop stream state, and acquires an image in a second mode in a start stream state; and the processor is used for executing an automatic exposure algorithm on the brightness mean value corresponding to the last frame of image in the stop stream state to generate a corresponding exposure parameter, and then transmitting the exposure parameter to the CMOS chip as an initial exposure parameter when the CMOS chip exposes the first frame of image in the start stream state. In the stop stream state, the brightness statistics is performed through the low-resolution image, and the brightness mean value of the last frame of image is used as the exposure basis of the first frame of image in the start stream state, so that the number of image frames required by image convergence to exposure stability is remarkably reduced, and the code scanning response speed is improved.

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.

A vehicle including a glazing, a wiper, a detection unit and a processor is disclosed. The detection unit may be configured to capture images of a vehicle interior portion and a vehicle surrounding. The processor may be configured to determine a precipitation intensity and that the vehicle may be in a stationary state. The processor may further determine that a user located in the vehicle interior portion may be looking out of the vehicle through the glazing based on inputs obtained from the detection unit, responsive to determining that the vehicle may be in the stationary state. The processor may further cause a wiper movement at a speed associated with the precipitation intensity, when the user may be looking out of the vehicle through the glazing.

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.

A weapon system has an optical sight mounted to a weapon and a frame with a sight window that is configured to superimpose a reticle that is visible through the sight window in a first focal plane. An optoelectronic device is mounted to the weapon and includes an imager with a sensor array and a display device. An image processor is configured to receive image data captured by the sensor array and process the image data to generate a subset image that is received from a select region of the sensor array. The select region of the sensor array defines a second focal plane. A controller is configured to receive an input from an operator, and in response to the input, to select the select region of the sensor array for aligning the second focal plane with the first focal plane.

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 relates to the technical field of computing power resource scheduling, and provides a computing power resource allocation method, a computing power resource allocation device, a computer readable storage medium and electronic equipment. Allocating computing power resources to each virtual image processor in the plurality of virtual image processors according to the computing power demand information; the plurality of virtual image processors are obtained by virtualizing and dividing a target image processor; when the use condition of the computing power resource corresponding to any virtual image processor meets a preset resource use condition standard, obtaining state information of each other virtual image processor; and redistributing the computing power resource of the target virtual image processor of which the state information is in the idle state to any one virtual image processor. According to the invention, the flexibility and rationality of computing power resource allocation can be improved.

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.

An eyewear device having an image processor operable in a camera pipeline for computer vision (CV) and in augmented reality (AR) systems. The image processor is configured to selectively control a plurality of cameras to provide images having a first resolution in the high power AR mode, and to provide the images having a second resolution in the low power CV mode. The first resolution is higher than the second resolution, and the plurality of cameras consume less power in the CV mode than the AR mode. The image processor controls the camera pipeline to process the first resolution high IQ images from the plurality of cameras to operate in the AR mode, and controls the camera pipeline to process the second resolution lower IQ images from the plurality of cameras to operate in the CV mode. Substantial power is saved by reducing the resolution of the images using downscaling in the cameras themselves in the CV mode.

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.

An image forming apparatus includes an image former that prints a color chart on a sheet, an in-line colorimeter that performs color measurement of color patches formed on the color chart, and an image processor that performs color adjustment based on colorimetric values of the color patches formed on the color chart. The image processor combines multiple divided colorimetric data obtained by performing color measurement of color patterns into which a chart is divided, the chart in which color patches are arrayed to be common to the color chart, and obtains colorimetric values of the color patches formed on the color chart from the multiple divided colorimetric data combined.

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.

A system for providing a contour map of the surface of a heliostat from reflected sunlight using a fly's eye camera. The system includes an entrance screen configured to receive sunlight reflected by said heliostat; an array of imaging apertures extending across the entrance screen, each aperture forming an image of said heliostat from a different viewpoint to provide a plurality of heliostat images; one or more digital cameras configured to view all of said plurality of heliostat images; an image processor configured to map out from the plurality of heliostat images a location of sunlight delivered to the entrance screen to obtain a plurality of maps, and to provide, based on centroids of said maps a tip and tilt of each said subsection The reflecting surface profile of the heliostat is obtained by integration of the subsection tilts across all the subsections.

An image projection device and a control method thereof are provided. The image projection device includes a first camera, a second camera, a light source, an image processor, memory storing one or more computer programs and one or more processors communicatively coupled to the first camera, the second camera, the light source, the image processor, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the image projection device to obtain property information about properties of a surface onto which an image is projected, obtain viewpoint information about a viewpoint from which a user views the image, generate a virtual image based on the property information and the viewpoint information, and project the image onto the surface based on the virtual image and a location of the user.

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.