41results about How to "Improve registration efficiency" patented technology

The invention relates to the technical field of data processing, and provides a registration method and device for a live-action model of a construction chamber section, and a storage medium, and the method comprises the steps: obtaining a two-dimensional design drawing of the chamber section, building BIM modeling parameters of the chamber section according to the two-dimensional design drawing, completing the reconstruction of a live-action three-dimensional model of the chamber section according to live-action image data, and obtaining a registration result of the live-action three-dimensional model of the chamber section; and building a BIM point cloud model of the chamber section according to the BIM modeling parameters and the stake mark of the chamber section, determining parameter information required for model registration according to the live-action three-dimensional model and the BIM point cloud model, and performing registration on the live-action three-dimensional model according to the parameter information to obtain the registered live-action three-dimensional model. According to the method, on-site construction operation procedures are not affected, only image data need to be shot on site, and model reconstruction and model registration can be completed indoors; the method has the advantages that the operation is convenient and simple, the multi-section live-action three-dimensional model of the whole chamber can be registered only by performing one BIM rollover process on one chamber, the registration efficiency is high, and the precision is guaranteed.

The invention relates to a surgical registration method and device and a surgical robot system. The method comprises the steps of obtaining a three-dimensional image of a to-be-registered object and a registration point set planned in an image space of the three-dimensional image; acquiring physical space coordinates of a plurality of mark point sets of the to-be-registered object; wherein the mark point set is a point set in a preset area of each registration point; determining a physical space coordinate corresponding to each registration point according to the physical space coordinate of the mark point set corresponding to each registration point; and generating a registration matrix according to the transformation relationship between the image space coordinates of the registration point set on the three-dimensional image and the physical space coordinates of the registration point set. According to the three-dimensional image of the to-be-registered object, the registration point is obtained, the mark point set is planned in the preset range where the registration point is located, the physical space coordinate of the registration point is determined according to the physical space coordinate of the mark point set, a probe does not need to be used for finding a corresponding coarse registration point on an actual bone, and the registration efficiency of the surgical robot system is effectively improved.

The invention discloses an unsupervised image registration method for a photoacoustic fast scanning system. The unsupervised image registration method comprises the following steps: acquiring data by using a fast scanning photoacoustic microscope; carrying out preprocessing steps of hooping, normalization, filtering, affine transformation and the like on the data to form a photoacoustic image data set; constructing a registration model based on a convolutional neural network and a space conversion module, fusing an attention mechanism to distribute weights for different pixels, adopting a two-stage training strategy, and introducing mutual information and a smooth item as a loss function; and predicting the registered photoacoustic image based on the training weight. According to the method, the registered image can be predicted in an extremely short time under the condition that a truth value is not input, an attention mechanism is introduced into the convolutional network, key factors are endowed with higher weights during feature extraction, the registration efficiency is effectively improved, mutual information is introduced as a loss function, the probability relation between pixel intensities is effectively modeled, and the registration accuracy is improved. And the similarity of the photoacoustic images acquired at different time points can be evaluated more accurately.

The invention discloses an image registration method and device, and relates to the technical field of image processing. The method comprises the following steps: converting a plurality of spatial domain images in an image series into corresponding first frequency domain amplitude diagrams through Fourier transform; superposing the first frequency domain amplitude images to construct a frequency domain amplitude summation graph; correcting each spatial domain image in the image series based on the set drift curve; all the corrected spatial domain images are superposed, and a spatial domain addition image is constructed; converting the spatial domain addition graph into a second frequency domain amplitude graph through Fourier transform; comparing the frequency domain amplitude summation graph with the second frequency domain amplitude graph; taking the adjusted drift curve as a set drift curve, and outputting a target drift curve; and performing image registration processing on the image series by using the target drift curve. According to the scheme, the image registration efficiency can be effectively improved, and consumption of computing resources by image registration is reduced.

The invention discloses a multi-modal image registration method and equipment based on deep learning. The method comprises the following steps: acquiring a 4DCT image and a plurality of other medical images with different modalities; preprocessing the 4DCT image, determining each phase of a respiratory cycle, and calculating the motion range of different organs in the respiratory cycle; the medical image of each of the other modals is preprocessed; selecting an expiration or inspiration image in one respiratory cycle from the medical images of other modalities; carrying out feature extraction on the selected 4DCT image and other medical images of each modal, and extracting feature points of each image; performing registration on different modal image feature points and 4DCT image feature points by using the trained deep learning model; and rendering the registration result. According to the method, the complex relation between different modal image feature points is learned through the deep learning model, a more accurate registration result can be achieved, registration errors are reduced, and cross-modal image registration precision is improved.

The invention discloses a mask image registration method and device, equipment, a medium and a product, and belongs to the technical field of image processing, the method comprises the steps that a first frequency domain feature image is acquired, and the first frequency domain feature image is an image obtained by converting a mask gray level image to be registered based on a preset spatial domain and frequency domain conversion algorithm; processing the first frequency domain feature image based on a preset sub-pixel image registration algorithm, and determining a sub-pixel registration displacement of the first frequency domain feature image; performing phase modulation on the first frequency domain feature image based on the sub-pixel registration displacement to generate a second frequency domain feature image; and converting the second frequency domain feature image based on a preset frequency domain-space domain conversion algorithm to obtain a registered mask gray level image, and by registering the image in the frequency domain space, the configuration efficiency of the mask image can be improved.

The utility model provides an information registration system of a silicon wafer carrier, which comprises a carrier clamp, a code reader, an rfid reader-writer and an industrial personal computer, and is characterized in that the carrier clamp can limit the silicon wafer carrier provided with a bar code label and an rfid label; the code reader and the rfid reader-writer are arranged on the outer side of the carrier clamp and are in signal connection with the industrial personal computer; the code reader identifies the bar code label and transmits label information to the industrial personal computer, and the industrial personal computer controls the rfid reader-writer to rewrite the rfid label. Before the silicon wafer carrier is put into use, the carrier clamp is used for quickly fixing the silicon wafer carrier, the industrial personal computer, the code reader and the rfid reader-writer are used for quickly registering the silicon wafer carrier in an enterprise production management electronic system, and the code reader and the rfid reader-writer can ensure the accuracy of information reading, analysis and transmission in the process. The problem of disordered accounts in subsequent silicon wafer production caused by manual registration errors is avoided, and the registration efficiency of the silicon wafer carrier is improved.

The invention discloses a chip image registration method, device and equipment, and relates to the technical field of image processing, and the chip image registration method comprises the steps: obtaining a preset overlapping ratio, and calculating and obtaining a preset overlapping region of adjacent chip images according to the preset overlapping ratio; according to the matching similarity in the preset overlapping area, obtaining the actual overlapping rate of the chip image; and according to the actual overlapping ratio, registering the adjacent chip images to obtain a target chip image. Through the above mode, according to the preset overlapping rate, the actual overlapping rate is obtained in the preset overlapping region according to the similarity, so that registration is completed according to the actual overlapping rate in the subsequent matching process, the size of the overlapping region in the registration process is accurate, and the phenomenon that the registration accuracy is poor in the subsequent registration process is avoided. And due to the fact that the calculation amount is increased due to the too large area and information loss is caused due to the too small area, the registration efficiency is improved, and the registration precision requirement is met.

The embodiment of the invention discloses a hard disk registration method and device, storage equipment and a storage medium, and belongs to the field of data storage. In the application, a first controller in a plurality of controllers included in the storage device stores hard disk information of registered hard disks in the plurality of controllers. On the basis, the first controller can search the hard disk information of the target hard disk in the first controller based on the identifier of the target hard disk to be registered, and if the hard disk information of the target hard disk is searched in the first controller, the first controller can directly register the target hard disk based on the searched hard disk information of the target hard disk. Therefore, when the first controller takes over the hard disk accessed by other controllers, the hard disk information of the hard disk is stored in the first controller because the hard disk completes registration in other controllers, so that the first controller does not need to issue a hard disk information acquisition command to the hard disk to acquire the hard disk information; and the registration duration of the hard disk is shortened.

The present disclosure provides a copyright registration method and device, electronic equipment and storage medium, which can be applied to the fields of data processing, finance or other fields. The copyright registration method comprises: in response to an operation instruction of a client, generating a target address of a target file according to an obtained private key; at least one authentication node of a consortium chain platform sends a non-fungible token of the authentication node to the target address to conduct copyright authentication on the target file, the non-fungible token is obtained by the authentication node for verifying and recording transaction conditions, and the non-fungible token has a node identifier associated with the authentication node; a bookkeeping node of the consortium chain platform generates a record of ownership change of the non-fungible token according to the ownership change content of the non-fungible token, and the bookkeeping node is determined from the at least one authentication node; and the server determines a copyright authority index of the target file according to at least one non-fungible token received by the target address.

The application provides a SERF atomic magnetometer and a head nuclear magnetic resonance image automatic registration method, comprising the following steps: obtaining three-dimensional information of a subject's head based on an optical scanner, and dividing the scanning point cloud into two parts of a helmet and a face; performing coarse registration on the helmet model and the helmet point cloud based on an FPFH descriptor, performing fine registration by using an ICP algorithm, and determining the position and direction of the sensor on the three-dimensional scanning data; performing coarse registration on the face point cloud and the head nuclear magnetic resonance image based on face symmetry information, performing fine registration by using an ICP algorithm, and converting the sensor position and direction information to the nuclear magnetic resonance image coordinate system. The registration algorithm realized by the application has the characteristics of automation, high precision and high efficiency, greatly simplifies the registration process, is convenient for medical staff to use, and promotes the medical application of brain magnetism.

The invention relates to an image registration method and device and computer equipment. The method comprises the following steps: acquiring a multi-modal medical image group; the multi-modal medical image group comprises a reference medical image and at least one mobile medical image; inputting the multi-modal medical image group into a deformation field prediction model, and predicting a prediction deformation field between each mobile medical image and the reference medical image through the deformation field prediction model; the deformation field prediction model uses a label of a sample reference medical image as weak supervision information, and performs constraint training based on an evaluation result of a prediction sample deformation field output in a training process; and completing registration of the corresponding mobile medical image and the reference medical image based on each prediction deformation field. By adopting the method, the accuracy of the registration result can be improved.

The invention discloses a mixed reality space registration method, apparatus and device, and a storage medium. The method comprises the steps of obtaining a plurality of mark coordinates of a reflective mark arranged on a probe tool in an optical space, and determining a first point cloud coordinate set in an optical positioning space; acquiring a second point cloud coordinate set in the virtual space, and performing coarse registration and alignment on the optical positioning space and the virtual space based on the first feature point cloud coordinate and the second feature point cloud coordinate of the preset feature point; and determining an initial fine registration error and an initial fine registration error weight according to a first point cloud coordinate set coarse registration conversion result and a second point cloud coordinate set in the coarse registration result, and performing iterative fine registration alignment on the optical positioning space and the virtual space based on the initial fine registration error and the initial fine registration error weight. A final precise registration conversion matrix is obtained; and determining a mixed reality space registration result based on the final fine registration conversion matrix, so that the efficiency and accuracy of mixed reality space registration can be improved.

The present application proposes an image registration method, device, electronic device and readable storage medium, which relates to the field of image processing, wherein the method includes: obtaining a depth image; determining the original coordinates of the target pixel in the depth image in the coordinate system of the depth image; querying the constant mapping relationship between the original coordinates and the coordinate constant part according to the original coordinates of the target pixel to obtain the corresponding coordinate constant part; querying the variable mapping relationship between the depth and the coordinate variable part according to the depth carried by the target pixel to obtain the corresponding coordinate variable part; determining the target coordinates of the target pixel in the coordinate system of the imaging image according to the coordinate constant part and the coordinate variable part. Therefore, for each target pixel in the depth image, there is no need to repeat the matrix multiplication calculation, which can greatly improve the efficiency of image registration, and can be applied to devices with low computing power, thereby improving the applicability of the method.

The present invention discloses an image registration method, device, computer equipment and storage medium, and belongs to the field of machine vision defect detection technology. Aiming at the problem that it is difficult to find effective feature point matching in semiconductor surface image registration in the prior art, resulting in low registration efficiency, the present invention sets a standard image to obtain standard image parameters; inputs an original image to obtain original image parameters; uses standard image parameters and original image parameters to solve the rotation matrix and translation matrix of the original image; establishes an image rigid body transformation relationship, performs affine transformation on the original image through the rotation matrix and translation matrix, and registers the original image and the standard image. Therefore, when performing image registration, there is no need to perform feature point matching, but by solving the rotation matrix and translation matrix of the image, the image scaling scale is constrained, and the rigid body transformation of the image is realized, which effectively improves the image registration efficiency.

The application provides a multi-scale image point cloud cross-modal registration method and system fusing depth information, and relates to the technical field of image processing, and comprises the following steps: enhancing a two-dimensional image fusion feature and a three-dimensional point cloud feature of a to-be-detected target by using a self-attention module to obtain corresponding first enhanced features and second enhanced features, and enhancing the first enhanced features and the second enhanced features by using a cross-attention layer to obtain image enhanced features and point cloud enhanced features; obtaining a first corresponding relationship between the image enhanced features and the point cloud enhanced features by using a top-k algorithm, and mapping corresponding feature pairs to a preset scale to obtain corresponding first target features and second target features; and obtaining neighborhood point features in a preset range with the first target features and the second target features as centers for matching to obtain a second corresponding relationship; and completing registration of an RGB image and a three-dimensional point cloud of the to-be-detected target by using the second corresponding relationship.

This invention discloses a data processing method and apparatus for invoice management. The method includes: acquiring invoice image information to be processed; the invoice image information to be processed includes several invoice images to be processed; performing detection processing on the invoice image information to be processed to obtain an image detection result information set; the image detection result information set includes several image detection result information; performing identification and classification processing on the image detection result information set to obtain invoice identification information; the invoice identification information is used to indicate intelligent management of invoices. Therefore, this invention can obtain invoice identification information for indicating intelligent management of invoices through comprehensive processing such as detection processing and identification and classification of invoice image information to be processed. This is beneficial for improving the intelligent collection, intelligent storage, and intelligent verification of invoice information, thereby improving invoice registration efficiency and reducing invoice review risks.

The present invention discloses a hospital appointment registration assistance method for multiple age groups, which belongs to the field of medical services, including: receiving appointment request information; matching user age information by age group to obtain age group characteristic values; performing correlation analysis to obtain department correlation; dividing the request registration timestamp by time zone to obtain a request time zone sequence; traversing the request time zone sequence, sorting from large to small based on department correlation, and obtaining the user call sequence; sending the user call sequence to the hospital registration management end, the requesting doctor, and the user end. This application solves the technical problem that the hospital appointment registration system in the prior art fails to fully consider the differences in user needs of different age groups, resulting in low accuracy and efficiency of appointment registration and poor user experience, and achieves the technical effect of providing personalized department recommendations and intelligent registration sequence arrangements based on user characteristics, improving the accuracy and efficiency of hospital appointment registration, and improving the user's medical experience.

The invention relates to a leather texture manufacturing method and system for a watchband, and belongs to the technical field of leather texture manufacturing. The leather texture manufacturing method comprises the steps that a high-resolution image of leather surface texture is collected, the resolution and size of the image and position information of the texture are recorded, and the texture image is preprocessed; the texture image is etched to the surface of the mold through laser equipment, and the position deviation is compensated by collecting real-time image data in the manufacturing process of the mold; according to material selection of watchband leather, softening parameters are set to soften the leather, the leather is placed between a mold and pressing equipment, and a texture image is transferred to the surface of the leather by applying pressure and temperature. According to the invention, reference point setting and alignment are respectively carried out on the mold and the texture image, and the alignment deviation is obtained through image registration for compensation, so that precise manufacturing of the mold is completed.

The application discloses a parameterized human body model reconstruction method based on a Chinese database, three-dimensional human body grid data of multiple female naked bodies of different ages, body types and heights are collected to establish a database; point clouds are learned based on BPS, SMPL model grid points are respectively roughly registered to the vicinity of each three-dimensional human body grid point to generate corresponding rough registration models; then, a non-rigid grid registration algorithm based on an ICP algorithm is used to finely register each rough registration model to generate corresponding SMPLD models; each SMPLD model is corrected in a standard standing posture, and then PCA principal component analysis is performed on each SMPLD model after the standing posture correction, a plurality of principal component proportions obtained are used as body parameters of a parameterized human body model adapted to Chinese body shapes, original posture parameters of the SMPL model are used as posture parameters of the parameterized human body model adapted to Chinese body shapes, and a final parameterized human body model is constructed.

The utility model discloses a wireless gate sentry visitor identity information automatic recording system, which comprises an information acquisition module, an information processing module, a signal transmission module and a processing terminal, and is characterized in that the information acquisition module comprises an image shooting unit which is connected with the information processing module and is used for acquiring portrait information; the voice unit comprises a voice recognition unit used for recognizing voice information and communicating with the background, and further comprises a voice broadcast system used for playing background communication voice and playing system guidance; the key-in unit is connected with the information processing module and is used for inputting a mobile phone number and selecting information of a service department; the RF card reading unit is used for reading information of the placed identity card; the accuracy of information collection is realized, the registration efficiency is improved, and the registration information is well collected and stored.

The invention discloses a multi-stage depth feature face recognition method and device based on edge calculation, equipment and a medium, and is suitable for edge equipment with limited resources. The method comprises the following steps: detecting an input image through a lightweight face detection network with a multi-scale feature pyramid structure, and outputting a face bounding box and confidence; cutting the face area according to the bounding box and carrying out standardization processing; inputting the standardized image into a deep residual convolutional neural network, and extracting a normalized feature vector; adopting a distributed vector database to construct a face feature library for partition isolation management to store the vector; and receiving a to-be-recognized face image, obtaining a normalized feature vector of the to-be-recognized face image, performing matching in the feature library based on the feature similarity, and outputting a recognition result. The method does not need to depend on the cloud, improves the recognition real-time performance and the data security, achieves high-precision recognition in a complex scene, and is suitable for edge computing scenes such as security monitoring and access control management.

This invention discloses a registration system and method for oral implant surgery, characterized by comprising: a registration instrument and a navigation device communicatively connected to the registration instrument; the registration instrument includes an instrument acquisition unit and a control circuit, the tip of the instrument acquisition unit is provided with a tip contact sensor, and the control circuit is connected to the tip contact sensor; wherein, the tip contact sensor is used to generate a tip sensing signal when it detects that the tip of the instrument acquisition unit contacts the target acquisition object; the control circuit is used to acquire the tip sensing signal and send the tip sensing signal to the navigation device; and registers the actual position of the registration instrument and the instrument navigation position of the registration instrument according to the contact position information, thereby optimizing the way the operator collects registration points in the patient's mouth, achieving the technical effect of safely and quickly completing the collection of registration points, thereby improving registration efficiency and shortening registration time.

The present application discloses a point cloud registration method, device, electronic device and storage medium, which relate to the field of image processing. The method comprises: randomly determining a focus point; taking the point closest to the focus point in the target point cloud data as a key point; determining a target area in the target point cloud data based on the key point, wherein the key point is located in the target area; registering the target point cloud data and the source point cloud data according to the target area, wherein the source point cloud data and the target point cloud data are located in different point cloud images. The present application solves the technical problems of low computational efficiency and insufficient robustness caused by redundancy and noise in point cloud data.

The application discloses a point cloud data registration method and system, electronic equipment and a storage medium, and the method comprises the following steps: acquiring a model point cloud of a three-dimensional model of a scene and a scene point cloud; performing plane feature extraction on the model point cloud and the scene point cloud to obtain a model point cloud plane feature set and a scene point cloud plane feature set respectively; performing line feature extraction on the model point cloud and the scene point cloud according to the two feature sets to obtain a corresponding model point cloud line feature set and a scene point cloud line feature set; performing feature matching on the model point cloud and the scene point cloud based on the model point cloud plane feature set, the scene point cloud plane feature set, the model point cloud line feature set and the scene point cloud line feature set to determine a feature matching relationship; and determining a coordinate transformation relationship of the model point cloud and the scene point cloud based on the feature matching relationship to register the model point cloud and the scene point cloud. Through the above method, the registration between the three-dimensional model and the point cloud can be realized through the plane feature and the line feature, and the registration efficiency is improved.

The invention relates to a heterogeneous resource-oriented virtual power plant standardized information model and an automatic registration method, and belongs to the technical field of energy internet and virtual power plants. The method comprises the steps that a unified information description framework is determined, a modular architecture is constructed, a standardized information model is established, and meanwhile semantic labels are given to data elements to form a machine-readable semantic identification system; the resource end generates and reports a modular information packet according to the model, and the platform performs automatic analysis, matching and instantiation on the information packet based on a semantic system to form a standard resource object containing static attributes and a dynamic service interface; and performing multiple verification of data integrity, logic consistency and service interface accessibility on the resource object, and after the verification is passed, completing resource storage, index construction, global unique identifier allocation and schedulable state activation. Plug and play and efficient automatic registration of heterogeneous resources are realized, and the access efficiency, the management precision and the system compatibility of the virtual power plant are improved.

The invention discloses a 2-3D image registration algorithm for CT and X-Ray of a target area, and the algorithm comprises the following steps: S1, shooting preoperative CT image data, segmenting a rigid structure near the target area, and carrying out the CT preprocessing of an image; s2, X-ray images of c-arm at different angles of the corresponding parts of the patient are shot, and meanwhile, c-arm internal reference and pre-processing images are obtained; s3, registering the rigid structures on the X-ray based on the plurality of rigid structures segmented on the CT, and outputting a plurality of rigid registration parameters; and S4, marking a target area on the CT by a doctor, constructing a model based on the plurality of rigid registration parameters, the X-ray and the CT image, and predicting the position of the target area in the operation under the c-arm coordinate system based on the constructed model. According to the invention, the registration efficiency and the registration precision can be improved; the iteration convergence speed is accelerated, and the algorithm application scene is improved.

The invention proposes a fusion registration method for projection images of a dual-scene generation device, belongs to the technical field of image registration, and is used to solve the mismatch problem of a dual-scene generation device in a dual-channel common-aperture parallel projection optical path. After the dual-scene generation device is mechanically debugged to achieve preliminary registration, a comprehensive image registration algorithm is used for precise registration: first, a scale-invariant feature transformation algorithm is used to extract feature points, and then a matching mechanism of a fast nearest neighbor approximation search is used to perform preliminary matching on the feature points, and a random sampling consistency algorithm is used to eliminate erroneous matching pairs to calculate optimal homography matrix parameters; finally, an affine transformation is performed on one source image, and the other remains unchanged, and the two images are uploaded to two scene generation devices respectively, so that high-precision real-time fusion of the projection images can be achieved, and the mismatch error is about 1 pixel, which greatly improves the projection registration accuracy.

The present application discloses an image registration method and related devices, the image registration method comprising: obtaining a first image obtained by a first camera device shooting a test object and a second image obtained by a second camera device shooting a test object; using the first image to perform offset correction on the second image to obtain a correction image; performing interpolation operation on the correction image to obtain a registration image; fusing the first image and the registration image to obtain a fused image. Through such a design, the use of flow mode registration can reduce delay, and after the second image is captured, the offset correction is performed to obtain a correction image without black edges, and the correction image is directly registered, which not only does not require the use of additional RAM resources to cache multiple lines for edge filling, but also can solve the problems of black edges and poor edge filling effects, thereby improving the efficiency of image registration.

The embodiment of the invention discloses a registration optimization method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of communication. The method comprises the following steps: recording failure context information when UE (User Equipment) fails to register to a network side by adopting a GUTI (Global Unique Temporary Identifier); analyzing an initial registration failure reason based on the failure context information; determining an initial registration optimization strategy according to the initial registration failure reason, and executing the initial registration optimization strategy; wherein when the reason for the initial registration failure is context failure, the initial registration optimization strategy comprises the step of initiating registration to the network side by adopting a subscription encryption identifier (SUCI). According to the scheme, the registration failure reason can be analyzed, registration optimization can be carried out, and repeated GUTI registration retry is avoided.