31 results about "Integral projection" patented technology

The invention discloses a gravel pile three-dimensional point cloud volume determination method, device and equipment based on a small rail car, and relates to the technical field of bulk material measurement. The method comprises the following steps: preprocessing original point cloud data of a gravel pile, and carrying out regional division on the preprocessed point cloud data by adopting a curvature clustering segmentation algorithm; performing region restoration on the divided point cloud data by adopting an adversarial network, performing spatial division on the restored point cloud data based on an octree spatial topological index to obtain point cloud data of different hierarchies, and determining a topological connection relationship between the different hierarchies to obtain point cloud subsets; carrying out integral projection hierarchical calculation by adopting a convex hull-voxelization mixed strategy, and then carrying out collaborative optimization calibration on the initial volume of the gravel pile by adopting a time sequence point cloud training graph convolutional network to obtain a calibrated volume. The invention aims to quickly and accurately determine the three-dimensional point cloud volume of the gravel pile.

The present application discloses a displacement sensing apparatus and displacement sensing method for a building structure, and a storage medium. The displacement sensing apparatus comprises: a fixing module comprising a fixing base and a fixing support, wherein the fixing base is configured to be coupled with a monitoring point for a structure under measurement to form a whole structure; and a projection module and a camera module, wherein the camera module is arranged in front of the projection module by means of the fixing support at an angle perpendicular to the field of view, and is configured to collect a laser image formed on the projection module by a laser emission module which is provided at a fixed point.

The invention discloses an image defect detection method and device and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image, the to-be-detected image comprises a plurality of modules, the modules comprise a first color module and a second color module, and the first color and the second color are two different colors; and detecting a module connection position between two adjacent modules with different colors by using a gradient integral projection method to obtain a defect detection result that whether the to-be-detected image has ghosting or not. In this way, efficient detection of ghosting can be achieved.

The application discloses a particle screenshot method and related equipment, the method comprises the following steps: acquiring a particle image to be processed, and cutting a field of view region from the particle image based on a preset frame selection range; performing integral projection on the field of view region to obtain a one-dimensional sequence group; performing weighted standardization on the initial one-dimensional sequence based on the field of view size of the field of view region in the projection direction to obtain a weighted one-dimensional sequence; performing smoothing processing on the weighted one-dimensional sequence to obtain a smoothed one-dimensional sequence; performing local peak marking based on the smoothed one-dimensional sequence to obtain a local peak position; converting the local peak positions corresponding to two projection directions of the horizontal direction and the vertical direction to obtain a particle position; and cutting a particle screenshot of a target particle from the field of view region based on the particle position. By introducing the weighted standardization link based on the field of view size, and combining the bidirectional integral projection, sequence smoothing and local peak detection, the particle positioning and screenshot can be efficiently and accurately realized. The application can be widely applied in the field of image processing technology.

The invention discloses a method, a system, equipment and a medium for calculating shadow light blocking efficiency of a condensation heat collection field, and the method comprises the steps: taking the projection of a full-field heliostat on the ground as an overall consideration object, recording the shape of the projection, taking a collection, and taking the area of the collection as a molecule for calculating the shadow light blocking efficiency; and calculating the area of each heliostat independently projected on the ground, and accumulating the area to serve as a denominator for calculating the shadow light blocking efficiency, so as to calculate the shadow light blocking efficiency. According to the method, the overall projection of the whole mirror field on the ground is counted and used as a molecule to calculate the shadow light blocking efficiency, the method can adapt to heliostats of any mirror field and any surface type, and therefore the calculation precision and calculation efficiency of the shadow light blocking efficiency are greatly improved.

The invention discloses a particle screenshot method and related equipment, and the method comprises the steps: obtaining a to-be-processed particle image, intercepting a visual field region from the particle image based on a preset frame selection range, carrying out the integral projection of the visual field region, and obtaining a one-dimensional sequence group; performing weighted standardization on the initial one-dimensional sequence based on the view size of the view area in the projection direction to obtain a weighted one-dimensional sequence; smoothing the weighted one-dimensional sequence to obtain a smooth one-dimensional sequence; performing local peak marking based on the smooth one-dimensional sequence to obtain a local peak position; according to the local peak positions corresponding to the transverse and longitudinal projection directions, particle positions are obtained through conversion; and capturing a particle screenshot of the target particle from the view area based on the particle position. The particle positioning and screenshot can be efficiently and accurately realized by introducing a weighting standardization link based on the view size and combining the bidirectional integral projection, the sequence smoothing and the local peak detection. The method can be widely applied to the technical field of image processing.

The utility model belongs to the technical field of DLP projection, and particularly relates to a small vehicle-mounted white light DLP projection and a vehicle, which comprises a shell, a light source, a focusing lens group, a reflector, a DMD module and an imaging lens group, the focusing lens group is arranged on an emergent path of incident light rays emitted by the light source; the reflector is used for receiving and refracting the light focused by the focusing lens group; the DMD module is used for receiving the light reflected by the reflector; and the imaging lens group is used for projecting and imaging an image presented by the DMD module. According to the utility model, through the arrangement of the focusing lens group and the reflectors, the lighting efficiency of the whole projection system is improved, the energy consumption of the whole system is reduced, the cost is saved, and the structure is more compact and portable.

The present application discloses a method, device, and equipment for determining the three-dimensional point cloud volume of a gravel pile based on a rail trolley, and relates to the technical field of bulk material measurement. The method comprises: pre-processing the original point cloud data of the gravel pile, and dividing the pre-processed point cloud data into regions using a curvature clustering segmentation algorithm; performing regional repair on the divided point cloud data using an adversarial network, and spatially dividing the repaired point cloud data based on an octree spatial topology index to obtain point cloud data at different levels, and determining the topological connection relationship between different levels to obtain a point cloud subset; using a convex hull-voxelization hybrid strategy to perform integral projection layered calculations, and then using a temporal point cloud training graph convolutional network to collaboratively optimize and calibrate the initial volume of the gravel pile to obtain a calibrated volume. The present application aims to quickly and accurately determine the three-dimensional point cloud volume of the gravel pile.

The application belongs to the technical field of computers and discloses a human eye positioning method and system based on gray scale projection and multi-angle combined HOG features. Firstly, in the image collected by a near-infrared camera, a local adaptive binarization and positioning image centroid combined mode is used to obtain a face region in the image. Then, a gray scale integral projection and least square fitting combined method is used to preliminarily determine all candidate points that may be human eyes. Then, through a gray scale co-occurrence matrix and the maximum connected domain area, most non-human eye candidate points are removed from the preliminarily obtained candidate points, and a gradient image is used to adjust the positions of the candidate points. Finally, through a multi-angle combined HOG feature extraction method, a feature vector of a candidate region centered on the candidate points is extracted, and the feature vector is input into multiple trained classifiers for classification and discrimination. The application has high accuracy and low operation time in the task of positioning human eyes from a face image.

The application provides a kind of drawing feature and digital matching method, system, equipment and medium, comprising: obtaining three-dimensional model and automatically extracting all relevant feature information;Obtain two-dimensional drawing and automatically extract all label information;Overall projection is carried out to three-dimensional model, and the model transformation projection image and projection information corresponding to three-dimensional model are generated;The model transformation projection image and two-dimensional drawing are carried out hash calculation, and the section projection picture position of the three-dimensional model corresponding to two-dimensional drawing is found;According to feature information, label information, two-dimensional drawing and step S3, determine three-dimensional model projection image and projection information, determine which part of feature of three-dimensional model corresponding to label information, and correspond label information to three-dimensional feature list;Output labeled three-dimensional model and feature label data details.The application can improve the efficiency and accuracy of two-dimensional drawing information recognition in production and processing, solve the problem of feature label information that two-dimensional drawing cannot be automatically recognized in automobile production.

The invention relates to the technical field of projector color regulation and control, in particular to a color regulation and control method and system for a projector. The method comprises the steps of obtaining a projection parameter set and an environment static parameter set, analyzing the environment static parameter set based on the projection parameter set, and determining basic global color mapping data; acquiring an environment dynamic parameter set, analyzing the environment dynamic parameter set according to the basic global color mapping data, and determining local color dynamic regulation and control data; performing real-time regulation and control on the local projection material color according to the local color dynamic regulation and control data, performing dynamic smooth diffusion processing on the local projection material color, and determining color diffusion data; and according to the color diffusion data, updating the overall projection material color and the basic global color mapping data, and determining and outputting a color regulation and control report. According to the invention, accurate and natural adjustment of the color of the high-dynamic-range projection material in the fusion projection process under different environment conditions is realized.

The invention provides a fatigue early warning method and system based on visual projection and an active appearance model, a terminal and a medium. The method comprises the following steps: carrying out posture straightening preprocessing on a to-be-processed image; performing preliminary positioning on the preprocessed image to be processed based on an integral projection algorithm to extract and obtain an eyebrow region; based on an active appearance model algorithm, performing accurate positioning on the eyebrow region obtained through preliminary positioning so as to extract an eye region; and according to the extracted eye region, determining an eye region area change trend under a plurality of preset acquisition frame rates, so as to perform fatigue early warning judgment according to the eye region area change trend. The monitoring effect can be achieved on the premise that driving of the driver is not affected, and the fatigue driving monitoring effect can be accurately conducted on the driver in real time.

The invention provides a low-dose PET image denoising method and system based on prompt learning and line integral projection constraint. The method comprises the following steps: constructing a PET image denoising model fused with a magnetic resonance multi-mode prompt learning mechanism; constructing a multi-domain loss function with physical consistency constraints; constructing a pairing training data set of a low-dose PET image, a standard-dose PET image and an MR image spatially corresponding to the PET image, and performing end-to-end training on the PET image denoising model by using the multi-domain loss function; and taking the acquired low-dose PET image and the MR image corresponding to the low-dose PET image as input, and carrying out denoising recovery on the low-dose PET image by utilizing the trained PET image denoising model to obtain a denoised PET image. According to the invention, on the premise of reducing the dosage of the radioactive tracer agent, the structural accuracy and the physical interpretability of the PET image are effectively improved, and a solution with high efficiency, low risk and high reliability is provided for clinical low-dosage PET examination.

The invention relates to the field of navigation operation guarantee and auxiliary decision making, and provides a projection module correction control method, system and device and a medium, and the method comprises the steps: collecting a user instruction, and selecting a plurality of projection modules; initializing equipment address information of the projection module; debugging a fusion device, setting a fusion device control instruction, and splicing projection pictures of the projection module according to the calibration reference; the projection module generates a feedback message according to the control instruction; obtaining a projection module feedback message, analyzing the message, and obtaining a projection module serial number; and the projection module correction control software acquires the projection module parameters, and performs correction control on the projection module according to the projection module parameters. According to the invention, splicing fusion, precision adjustment and brightness control of any plurality of projection modules by the fusion device are realized, and particularly under the condition that one or more projection modules are replaced, fusion device parameters can be automatically updated, overall projection correction control of equipment can be quickly realized, and factory return maintenance cost is saved.

The invention discloses a YOLO-based ROI region multi-angle integral projection pupil detection method and detection system, and the method comprises the following steps: cutting a pupil bounding box through YOLO, and obtaining an ROI region; carrying out image preprocessing; for the pre-processed image, performing fitting through geometric features to judge whether the image is in an oval shape or not; if the image is judged to be oval, using a CLAHE algorithm to enhance the image, then using a Canny edge detection algorithm to detect the pupil edge, and then using Hough transformation to fit the pupil; and if the pupil is not elliptical, determining the center of the pupil by using a multi-angle integral projection function. According to the method, a deep learning method and a geometric feature fitting method are combined, based on a multi-angle integral projection function, uniform distribution angles with random offsets are used, and the method is more effective for eye images containing artifacts in different directions; the method is suitable for a database with noisy eye images and many artifacts, accurate extraction of pupil parts is achieved, and the accuracy of further pupil detection is improved.

The present invention provides a low-voltage series arc fault identification and monitoring method for a power acquisition terminal, which relates to the technical field of current signal arc fault detection. The method includes: calculating the modulus of the spectrum map matrix according to the spectrum map matrix of the signal; converting the spectrum map matrix from linear units to logarithmic units to obtain the logarithmic form of the modulus of the spectrum map matrix; visualizing the logarithmic form data of the modulus of the spectrum map matrix as an image, and converting the image format into a grayscale image; and calculating the grayscale integral projection in the column direction according to the grayscale image to obtain a feature sequence composed of integral projection values. The present invention establishes a description of high-frequency fault characteristics through time-frequency domain analysis and grayscale integral projection processes, determines the series arc fault through threshold comparison and fault point number statistics, and solves the problem that the high-frequency fault component characteristics in the identification of series arc faults in low-voltage systems are difficult to characterize in the time domain.

The utility model discloses a radar mounting structure, which is characterized in that a radar body and an integrated bulge are spliced together through a splicing part, and the height of the radar is adjusted by operating a lifting mounting structure to adjust the height of a middle mounting block, so that the height of the radar body is adjusted. After installation, the angle of the radar body is adjusted through the angle adjusting button according to actual environment requirements, and the radar body is locked through the locking part after adjustment.

The application discloses a three-dimensional woven preform yarn density detection method and system, and the method comprises the following steps: acquiring a three-dimensional woven preform image; sequentially performing rotation correction, adaptive gamma enhancement and three-dimensional block matching cooperative filtering to obtain a clear image; realizing yarn segmentation through dynamic threshold segmentation and multi-direction morphological optimization; adopting an improved gray integral projection algorithm, generating an adaptive threshold based on global and local gray projection integral mean, binarizing a projection sequence into a square wave signal; extracting yarn quantity and position information by detecting waveform transition points, and calculating yarn density in combination with a space scale coefficient. The method effectively overcomes image tilt, noise and yarn interweaving interference, converts a traditional projection curve with dramatic fluctuations into a stable square wave signal, significantly improves the robustness and accuracy of yarn identification and positioning, and realizes automatic and high-precision detection of high-density three-dimensional woven preform yarn density.

The invention discloses a bank customer identification method and device, electronic equipment and a product, and relates to the technical field of face identification. Comprising; determining a left eye region, a right eye region and a mouth region in the head region grayscale image through grayscale image conversion, multi-threshold binarization processing, binary image merging and row connected domain analysis; the method comprises the following steps: determining a left eye iris center point coordinate and a right eye iris center point coordinate according to pixel point gray level distribution, carrying out plane rotation correction on each frame of head area gray level image, and then determining a lip point coordinate through horizontal integral projection; and finally, taking the lip point, the mouth region boundary point, the left eye region boundary point and the right eye region boundary point as facial recognition key points to obtain a plurality of groups of key point distances, and determining a bank customer recognition result of the target user based on a ratio of the plurality of groups of key point distances to binocular distances. According to the invention, the target user can be identified very conveniently and quickly, and the user can use self-service conveniently.

The present application relates to a kind of based on sparse collection's Fourier hologram generation reconstruction method, belong to Fourier hologram generation reconstruction method.Integrated imaging method based on sparse collection is used to generate the stereoscopic meta image of object;According to the stereoscopic meta image of object, multi-view projection incoherent Fourier calculation hologram generation and simulation reconstruction are carried out.The present application has the advantages that compared with the traditional image recognition gray integral projection method, the block matching integral projection method based on SAD search method is used, the parallax error rate obtained by calculation is reduced from 3.125% to 0.2%, the structural similarity SSIM of the generated stereoscopic meta image and the original object view is increased from 0.71 to 0.75, the accuracy of the generated stereoscopic meta image is improved, so that the object Fourier hologram storage information and the reproduced image are more accurate, the block matching integral projection method carries out image correction when running code for block matching, and only searches for matching block in horizontal direction, compared with other algorithms, the steps are more simple.

The invention discloses a cell X-Ray image detection method and device, and belongs to the technical field of digital image processing. The method comprises the following steps: inputting an enhanced X-Ray image into a trained deep learning semantic segmentation model to obtain a binary mask of a bending region; extracting a bending region from the enhanced X-Ray image by using a binary mask of the bending region; carrying out layer separation on the extracted bending region by utilizing the characteristic that the pole piece is in an alternating line segment shape in the enhanced X-Ray image to obtain a multi-layer pole piece image; for each layer of pole piece image, positioning the endpoint coordinates of the pole piece: carrying out gray value integral projection along the extension direction of the pole piece to obtain a one-dimensional projection curve; and searching an inflection point of the projection curve, and positioning an end point coordinate of the tail end of the pole piece based on the inflection point. And the end point of the tail end of each layer of pole piece in the bending area can be positioned.

Extended reality display systems and methods of manufacturing for improving the compactness and manufacturability of the display system. The display systems include an integral projection lens barrel into which a lens stack is directly loaded. The display systems may also have the illuminator and spatial light modulator on opposite sides of a waveguide which reduces the overall volume of the display system. Embodiments of the displays systems and methods also include the use of structural datums for accurately positioning components of the display systems to improve the manufacturing tolerances of the display systems which ensure that the display systems function at an acceptable optical performance.

The present invention relates to the field of navigation operation guarantee and auxiliary decision-making, and provides a projection module calibration control method, system, device and medium. The method includes: collecting user instructions and selecting multiple projection modules; initializing the device address information of the projection modules; debugging the splicer, setting the splicer control instructions, and splicing the projection images of the projection modules according to the calibration reference; the projection modules generate feedback messages according to the control instructions; obtaining and parsing the feedback messages of the projection modules to obtain the serial numbers of the projection modules; the projection module calibration control software obtains the projection module parameters and performs calibration control on the projection modules according to the projection module parameters. The present invention realizes the splicing and fusion, precision adjustment and brightness control of any number of projection modules by the splicer. Especially in the case of replacing one or more of the projection modules, the parameters of the splicer can be automatically updated, and the overall projection calibration control of the device can be quickly realized, saving the cost of returning to the factory for repair.

The invention discloses a three-dimensional woven preform yarn density detection method and system. The method comprises the following steps: acquiring a three-dimensional woven preform image; sequentially performing rotation correction, adaptive gamma enhancement and three-dimensional block matching collaborative filtering to obtain a clear image; yarn segmentation is realized through dynamic threshold segmentation and multi-direction morphological optimization; an improved gray integral projection algorithm is adopted, a self-adaptive threshold value is dynamically generated based on global and local gray projection integral mean values, and a projection sequence is binarized into a square wave signal; the yarn number and position information is extracted by detecting waveform transition points, and the yarn density is calculated in combination with a space proportionality coefficient. According to the method, image inclination and noise and yarn interweaving interference are effectively overcome, a traditional projection curve which fluctuates severely is converted into a stable square wave signal, the robustness and accuracy of yarn recognition and positioning are remarkably improved, and automatic and high-precision detection of the yarn density of the high-density three-dimensional woven preform is achieved.

The invention relates to the technical field of photoelectric measurement and machine vision, and discloses a dynamic rotating speed measurement method based on laser speckles, which is suitable for diffuse reflection characteristic-free rotating parts. Projecting a light beam to a measured object to form speckles, and capturing an asynchronous event stream by using an event camera and a self-adaptive mask; mapping the stream data to a dynamic time window, and converting the stream data into a two-dimensional time surface matrix through a time decay model; resolving a physical rotation center based on known parameters or a low-speed accumulation matrix and feeding back the updated mask; performing logarithmic polar coordinate transformation by taking the center as a pole, and obtaining a roughly estimated angular velocity through integral projection and frequency domain calculation; constructing a search space by taking the displacement as a priori, and executing position compensation and similarity evaluation to extract a refinement rotation displacement; based on this, a second-order state model is constructed, and the instantaneous angular velocity is output through adaptive filtering. According to the invention, the radial vibration interference is decoupled, the extreme working condition range is widened, and the speed measurement precision and the anti-interference capability are remarkably improved.

The invention discloses a digital light processing (DLP) projection lithography system based on a double separation type combined lens and a combined application method thereof, and belongs to the technical field of micro-nano manufacturing. Aiming at the technical bottlenecks of limited function expansion and limited magnification adjustment caused by an integral projection lens in the existing DLP photoetching system, the invention provides a double-separation projection lens structure consisting of an object space front lens group and an image space rear lens group. The front lens group converts reflected light of a digital micromirror array (DMD) into parallel light beams and forms an expansion interface area with an adjustable axial length, and flat plate optical elements such as a beam splitter and a spatial light modulator are allowed to be inserted into the expansion interface area. The rear lens group is integrated on a high-precision micro-displacement platform after being subjected to lightweight design, and continuous fine adjustment of the amplification factor of the system within a certain range can be realized by moving the lens along the axial direction through the micro-displacement platform; or the rolling of the DMD mask pattern and the movement of the whole rear lens group carried by the micro-displacement platform are synchronously coordinated during inclined rolling exposure, so that the pixelate effect is remarkably reduced, and meanwhile, the design complexity of the mask pattern and the requirements of computing resources are effectively reduced.

The invention provides an automatic driving human eye detection method and system based on visual identification, a terminal and a medium, and the method comprises the steps: firstly carrying out the human eye inclination correction of a collected image, and then carrying out the preliminary positioning of the corrected image through an integral projection algorithm. And then, secondary positioning is performed according to the preliminary positioning information by means of the shape model, so that a more accurate human eye detection result can be obtained. According to the method, data are acquired only by depending on a visual sensor, and simplified key data are input into a deep learning network for detection through data processing and screening. According to the method, a complex mapping relation does not need to be constructed, and a large amount of marked data is not needed for network training, so that the operand is remarkably reduced. Moreover, the system detection time is greatly shortened, the detection efficiency is improved, and the harsh requirement for real-time performance in intelligent safe driving research is met.

The invention relates to a projection display (1) comprising: at least one light source (2); a projection surface (3); an arrangement of several projection optics (4a, 4b) for projecting light (L) from the light source (2) onto the projection surface (3) with an associated light propagation; an image transmitter (5) arranged between the light source (2) and the projection surface (3) with respect to the light propagation, having a first, two-dimensional distribution of partial image transmitters (9a, 9b);wherein the multiple projection optics (4a, 4b) are arranged in a second, two-dimensional distribution, and each projection optic (4a, 4b) is assigned a partial image transmitter (9a, 9b) of the image transmitter (5), and the arrangement of multiple projection optics (4a, 4b) is configured to project a partial image (8a, 8b) of the partial image transmitter (9a, 8b) onto the projection surface (3) as a projected partial image (8a', 8b') by means of each of the projection optics (4a, 4b), and the projected partial images (8a', 8b') are composed to form a total image (G), wherein at least two projected partial images (8a', 8b') have a mutual area overlap in the projection surface (3), and related use.;

The invention belongs to the technical field of radar image processing, and particularly relates to an ISAR image target rapid interception method and system, the maximum value and the average value of gray values in integral projection vectors in two directions are calculated, a signal-to-noise coefficient is calculated through the maximum value and the average value of the gray values, and a threshold coefficient is calculated according to the signal-to-noise coefficient; calculating a gray threshold value according to the threshold coefficient and the average value of the gray values; the gray value of each pixel point in the integral projection vector is compared with a gray threshold value, the pixel points which do not meet the gray threshold value are removed, and the pixel points and distance coordinates of the target image are obtained; and carrying out distance-direction gray value summation on the pixel points of the target image to obtain transverse and longitudinal two-end coordinates of the target image. Iterative calculation is avoided, and the processing speed is improved compared with a traditional method. And the anti-noise capability is strong: diffuse noise is suppressed through integral projection, and the target interception integrity is improved.

The application relates to the technical field of image analysis, in particular to a spherical material metering and filling control method based on image analysis. The method comprises the following steps: performing configuration analysis operation on initial instructions to extract related configuration parameters; collecting and outputting mirror high spot images and structured light texture images through cross field cameras; outputting non-repeated contour coordinate sets through edge constraint completion operation and image registration and deduplication operation; sequentially performing grid counting operation and volume integral projection operation based on cross-section statistical grids to output a total number of global materials; detecting and outputting in-transit falling speed and in-transit particle number; and performing cutoff threshold comparison operation to output a feeding blockage instruction and cut off a material falling track. The application constructs a deep coupling network from bottom layer multi-dimensional pixel tensor extraction to spatial topological serialization prediction, and fills the sampling calculation time lag deviation between virtual state parameter deduction values and frame interval discrete pixel array evolution in a multi-frame space-time calculation pipeline.