453results about How to "Improve splicing efficiency" patented technology

The invention discloses an image registration and multi-resolution fusion-based panoramic image splicing method. An adaptive threshold of sequence images is subjected to binary processing and image contour information is extracted by utilizing a pixel neighborhood relationship; a similar region of an image contour structure is quickly estimated through a similarity measurement method for Hu momentinvariant features; and SIFT feature point extraction is performed in a similar region part of two original images. Moreover, feature point initial matching is performed by using a bidirectional K-nearest classification algorithm; mismatched points are screened by an RANSAC algorithm; and an affine transformation matrix among the images is estimated. In addition, in an image fusion aspect, brightness equalization and local color mapping processing is adopted. Then, through an improved Laplacian pyramid multi-resolution fusion algorithm, spliced images are fused to realize seamless splicing. According to the method, the image splicing time is shortened, the image splicing efficiency is improved, the similar region can be quickly located, the mismatch in splicing is effectively improved, and the image registration precision is improved.

The invention discloses an improved ICP object point cloud splicing method for fusing fast point characteristic histogram. The method comprises the steps of projecting a standard sinusoidal digital grating onto the surface of the object to be measured, photographing stripe images of the surface of the object projected with the standard sinusoidal digital grating from different angles of view by aCCD camera, and obtaining photographing point clouds from multiple angles of view; for two image point clouds that need to be stitched together, building a k-D tree and interpolate to obtain that interpolated point cloud; for the two interpolated point clouds to be spliced, computing the fast point feature histogram, and obtaining the point cloud by random sampling consistent transformation; usingthe improved iterative nearest point method to obtain the first interpolated point cloud which is precisely registered; overlaying point cloud and mesh to realize the mosaic of two different angles of view of the shooting point cloud. The invention has low requirement for the initial position of the splice point cloud, the robustness is remarkably improved, the local optimization is not easy to fall into, the splice accuracy is improved, and the precise splicing of the point cloud under multi-view angles is realized, so that the practical industrial application requirements can be met.

The invention discloses a bridge crack detection method. Due to the fact that manual marking has certain subjectivity, the pavement crack detection precision depends on experience knowledge of experts, and experience lacks objectivity in quantitative analysis. The method comprises the following steps: 1, collecting images of a detected bridge floor one by one to obtain a bridge floor image set; 2,splicing images; 3, detecting crack; 4, extracting crack parameter. According to the invention, the image acquisition and processing technology replaces human eyes to complete automatic nondestructive detection of the bridge crack, and has very important practical significance for research of the bridge crack detection technology in a complex terrain environment. On one hand, the construction safety is enhanced, and on the other hand, the operation maneuverability and flexibility are improved. According to the invention, fidelity splicing of multiple groups of bridge deck images is realized,the image splicing precision and efficiency are improved, a working foundation is laid for subsequent bridge crack image detection, and a technical reference is provided for image splicing detection in other fields.

The invention provides a video play method and a video play device based on character interaction. The video play method comprises the following steps: step 1, carrying out face detection on a video image to be played so as to obtain a face region; step 2, carrying out pose estimation on the face region so as to obtain pose parameters; step 3, according to the pose parameters, searching a matched viewer face image as a matched image from a database; and step 4, replacing the face region by using the matched image so as to obtain a new video image. According to the invention, the character interaction can be carried out between the viewer and a played video, thereby enhancing the participation degree of the viewer and promoting the attraction of the video.

The embodiment of the invention provides a three-dimensional panoramic video stream generating method and equipment and a video conference method and equipment. The three-dimensional panoramic video stream generating method comprises the following steps of: acquiring the depth information of at least two video images; acquiring a plurality of image data of a depth level from a corresponding video image according to the depth information of each video image; and jointing the video image data according to the image data of the depth level to generate a three-dimensional panoramic video stream. The invention provides a three-dimensional panoramic seamless high-resolution telepresence conference video image for users by utilizing a multi-display mode based on different display equipment.

A splicing-interference-detection aspheric surface shape apparatus using a distorting lens and a method thereof belong to the optical detection technology field. In the invention, an interference detection system, a distorting lens compensation system, a mechanical adjusting mechanism and a computer data processing module are included. The method comprises the following steps of step1, constructing a splicing interference detection apparatus using the distorting lens; step2, dividing a subaperture; step3, removing to a position of the subaperture to be detected and adjusting a distorting lens surface shape or a refractive index according to modeling and interference fringes; step4, carrying out subaperture interferogram acquisition processing; step5, carrying out subaperture backhaul error correction; and step6, carrying out full aperture surface shape splicing. In the invention, the distorting lens and the subaperture splicing interference detection method are combined; the subaperture number needed by full aperture coverage can be effectively reduced and effective areas of each subaperture and an overlapping region are increased; a problem that the overlapping region is small so that splicing precision is influenced is solved.

Provided is an image splicing method and device. The method comprises the steps that position matching is performed on a first image and a second image based on a pyramid-structured normalized orthogonal correlation coefficient and sub-pixel estimation, and the first image and the second image are two adjacent images to be spliced; and an image splicing edge is confirmed according to the result of position matching, and splicing of the first image and the second image is completed along the image splicing edge. Rapid and high-efficiency image splicing can be realized by the technical scheme, and higher splicing precision can also be guaranteed.

The invention relates to a panoramic video synchronous splicing system and method of a video collection module and a panoramic video display device. The system comprises a video collecting module, a data transmission module and an image splicing processor; the video collecting module is connected with the image splicing processor through the data transmission module; the video collecting module comprises a plurality of cameras, wherein the cameras are arranged on the same plane in preset sequence, the angle of the two adjacent cameras meets the requirement that the video image photographing range has an overlapped area, and the cameras are combined for photographing a panoramic video image. According to the scheme, the image processor rapidly determines the overlapped area of video frame images of the two adjacent paths in multi-channel video frame data according to the preset camera sequence, according to the overlapped area, image splicing is sequentially performed on video frames of the two adjacent paths according to the overlapped area, the panoramic video frame image is obtained, the image splicing operation process is simplified, equipment operation loads are relieved, and the video splicing efficiency is improved.

The invention relates to an automatic image mosaicking method for a high-accuracy image measuring apparatus of a super-view field part. A template matching algorithm based on similarity measure is adopted and an index template is built through a run length encoding method to appoint pixels participating in operation, wherein the template is selected by adopting a maximal overlap region so as to contain image characteristics as much as possible, and the index template only contains pixels with edge characteristics or other pixels with obvious gray level change. The invention has the advantages that: the template is automatically determined without man-machine interaction selection, thereby enhancing the efficiency; the determined template has most image characteristics of objects to be measured; the pixels participating in the operation have obvious characteristics, and the other pixels do not participate in the operation, therefore matching accuracy is enhanced; the pixels participating in the operation, which is appointed through the index template, only occupies a great small part of the integral template, therefore operation efficiency is enhanced; the index template is built through the run length encoding method, therefore storage efficiency is high, and computer processing is convenient.

The invention provides an unmanned aerial vehicle and a panoramic stitching method, device and system thereof. The method comprises the following steps of obtaining multiple frames of images for stitching; carrying out panoramic stitching on the multiple frames of images at an unmanned aerial vehicle side based on a preset rule to obtain a panoramic image; and sending the panoramic image to a mobile terminal. Since the multiple frames of images for stitching are obtained at the unmanned aerial vehicle side, and the panoramic stitching is carried out on the multiple frames of images based on the preset rule to obtain the panoramic image, image distortion caused by encoding and compression of the multiple frames of images for stitching is avoided, and stitching errors are reduced. Moreover, since the panoramic image is stitched at the unmanned aerial vehicle side, compared with the manner of stitching the panoramic image at the mobile terminal, the response time from obtaining the images to stitching the images is shortened, the stitching efficiency is improved, and the panoramic stitching instantaneity is improved.

The invention relates to a vehicle outer contour dimension measuring method based on image dynamic feature tracking and a system thereof. The method comprises the steps that step 100) image information is acquired, and images of the vehicle detection process are acquired; step 101) the feature points of adjacent frames of images are acquired based on the images of the vehicle detection process; and step 102) matching of the feature points is performed, splicing is performed on the matched images to acquire the complete image of a vehicle, and the pixel dimension is calculated based on the complete image of the vehicle so that the actual outer contour dimension of the vehicle is acquired. The step 101) concretely includes the steps that step 101-1) the images in which the vehicle head and the vehicle tail are positioned are obtained from the acquired images through segmentation of the foreground and the background of the vehicle; and the vehicle head and the vehicle tail images respectively act as a start frame and an end frame so that the image sequences in measurement of the vehicle are acquired; and step 101-2) traversing of the image frames is performed to acquire candidate feature points, and the feature points can be obtained through judgment of difference of neighborhood gray scale values and the gray scale values of the candidate feature points.

The embodiment of the invention discloses a panoramic video splicing method and device. The method comprises the following steps: acquiring to-be-spliced multi-channel video source data; projecting video resource images to a preset panoramic projection plane corresponding to the same moment according to a preset projection parameter by use of a parallel way to obtain a panoramic projection video image formed by multiple image blocks; performing strip-type fusion processing on preset suture lines in the overlapping regions of the image blocks according to a preset fusion parameter by use of the parallel ways, and outputting the fused panoramic video image. By use of above mentioned technical scheme disclosed by the embodiment of the invention, the splicing efficiency and the image quality of the panoramic video can be both considered, the high timeliness and excellent image quality of the output panoramic video are guaranteed, and the method is suitable for the live in the Broadcast level.

The invention relates to an image splicing method, image splicing equipment and a readable storage medium. The image splicing method comprises the steps: obtaining foreground images in a plurality ofimages to be spliced, wherein the plurality of images to be spliced comprise at least two adjacent images to be spliced; performing intersection taking processing on the foreground images in the two adjacent to-be-spliced images to obtain first overlapping areas corresponding to the foreground images of the two adjacent to-be-spliced images; carrying out feature point matching processing on the first overlapped area to obtain a first target relative displacement between the two adjacent images to be spliced; and splicing the two adjacent to-be-spliced images by using the first target relativedisplacement. By adopting the image splicing method, the image splicing efficiency can be improved.

A data processing method and a related device, implementing automatic conversion of data format and automatic splicing of data in a node device by a Hadoop. The method mainly comprises: a data preprocessor reads metadata from a first buffer area of a CPU, reads data of a data collection from the first buffer area on the basis of a memory address indicated by the metadata, converts, on the basis of a preset analytic function, the data of the data collection into a data format indicated by the preset analytic function, and stores data blocks generated with the converted data collection in a second buffer area of the CPU, thus allowing a data splicer to read from the second buffer area the data blocks and to splice same to a GPU.

The invention provides a video splicing system and method for a binocular robot, and belongs to the technical field of robot visual images. The system comprises a robot video frame acquisition module,an image splicing system processing module, a wireless transmission module and a terminal display module, wherein the image splicing system processing module comprises an overlapping area positioningmodule, a feature point parallel directional registration module, an image color correction module, an image deformation module, a dynamic planning suture line module and an image smooth fusion module; the system can carry out system, video frame coincidence area positioning, feature point directional registration, image color correction, image deformation, dynamic suture line planning and imagesmooth fusion processing on an image frame collected by a robot in a binocular mode to obtain high-quality spliced video; the visual field of the robot is greatly expanded, purposes of movement, positioning, identification and the like can be better completed, and the image frame splicing speed and the splicing efficiency are improved.

The embodiment of the invention provides a panoramic image splicing method and device to solve the low efficiency of panoramic image splicing in the prior art. The method includes acquiring a source image video stream and determining a preset position information set, wherein one piece of position information is configured to indicate the specific coordinate position of a source image block in thesource image video stream; and cutting a corresponding source image block from the source image video stream based on each piece of position information in the position information set; generating aplurality of target images based on the obtained source image blocks, and splicing the plurality of target images to obtain a corresponding panoramic image.

The present invention relates to the image processing technology field, in particular relates to an image splicing quality evaluation-based unmanned aerial vehicle remote sensing image splicing method. The method comprises the steps of recording the latitude and longitude information and the altitude information of an unmanned aerial vehicle when each frame of remote sensing image is acquired, using a jitter fuzzy removing algorithm to remove the jitter fuzzy of the remote sensing images, adopting the image splicing quality evaluation to find out the remote sensing images not satisfying the splicing requirements in a remote sensing image sequence, using the unmanned aerial vehicle to reacquire the remote sensing images not satisfying the requirements according to the recorded latitude and longitude information and the altitude information, putting the reacquired new remote sensing images in the original remote sensing image sequence to replace and supplement the corresponding original remote sensing images, and carrying out the image registration and splicing again, thereby avoiding the repeated acquisition and splicing of the effective images, improving the image splicing efficiency while reducing the workload.

The invention provides a point cloud splicing method and system. The method comprises the following steps: inputting two groups of point clouds and a preset splicing precision; carrying out initial splicing on the input two groups of point clouds by utilizing match feature points to obtain two groups of initial feature point sets; removing abnormal points in the two groups of initial feature point sets according to the preset constraint conditions to obtain finally-determined two groups of feature point sets; calculating an objective function corresponding to the two groups of feature point sets determined above, and carrying out least square iteration on the two groups of feature point sets determined above to obtain a group of transformed point clouds; and when the precision of the objective function is smaller than the preset splicing precision, carrying out precise splicing on the transformed point clouds and the other group of point clouds in the feature point sets. The point cloud splicing method and system can realize quick and precise point cloud splicing.

The embodiments of the invention provide a dome screen demarcating method, a demarcating system and a control device. The method includes the following steps: constructing in advance a mapping sphere model W of a sphere camera, and acquiring a position T of the sphere camera in a dome screen space; determining a coordinate X of a sampling point of a demarcating image which is projected by a first projector on the sphere camera, in accordance with the mapping sphere model W and the position T of the sphere camera in the dome screen, acquiring a position coordinate Z of the coordinate X of the sampling point in the sphere screen space; in accordance with the coordinate V of the first projector and the coordinate Z of the coordinate X of the sampling point in the sphere screen space, constructing a mathematics conversion model U1 of the demarcating image projected by the first projector to a dome screen image; using the aforementioned method, constructing mathematics conversion models U2......Un of demarcating images output by other projectors to the dome screen images, in which n is the number of the projectors; in accordance with the mathematics conversion models U1......Un, generating the complete dome screen image.

The invention discloses a rapid and steady image splicing method based on medical microscopic imaging, and belongs to the field of image processing. To achieve high speed, high-precision microscopic image splicing, the rapid and steady image splicing method selects an ORB algorithm to extract image features to prove that through processing, the same precision can be achieved through the method andalgorithms such as SIFT and SURF, and the calculated amount can be reduced on feature extraction. Besides, in order to eliminate the mixed gap to generate a seamless image, the rapid and steady imagesplicing method adopts a gradual-in gradual-out weighted average strategy, and in the final fusion stage, the rapid and steady image splicing method adopts the image indexing operation, so that multiple times of copying and moving of pixels are avoided to the maximum extent, and the time is further shortened. In addition, for the rapid and steady image splicing method, the whole algorithm processis accelerated by using a GPU, and the algorithm processing time is reduced to the minimum. Through calculation, for the rapid and steady image splicing method, accurate seamless splicing can be completed within about one second by using a 3 * 3 image with the resolution of 1360 * 1024.

The invention relates to a tenon joint shield segment which comprises a curved piece body, circumferential bolt grooves, longitudinal bolt grooves and a sealing strip. Two ends and two sides of the curved piece body have tenon heads and mortises, both the tenon heads and the mortises are curved, and the curvature of the tenon heads and the mortises are the same with that of the curved piece body.The tenon heads and the mortises have anchor holes. When the shield segments are installed, tenon heads are inserted into the mortises, anchor rods pass through the anchor holes to clamp the tenon heads. According to the tenon joint shield segment, two ends of the tenon joint shield segment have tenon structures, the segments are connected through the tenon heads and the mortises, the connection efficiency of the shield segments is improved, and the shield construction process is accelerated. The invention provides the tenon joint shield segment, a tenon joint shield segment is inserted into an adjacent tenon joint shield segment through the tenon heads, the connection between the tenon joint shield segments is more firm, the probability of the deformation of a segment ring is little, andthe construction is convenient and efficient.

The invention discloses a high-precision large-aperture grating five-degree-of-freedom splicing precision measurement method. The method comprises the following steps that step one, grating three-dimensional rotation precision measurement: a test light beam is incident to the splicing slit of gratings to be spliced, and the three-dimensional rotation splicing precision, the pitch angle theta<x>, the deflection angle theta<y> and the rotation angle theta<z>, of the gratings to be spliced is acquired according to zero-order reflected light and first-order diffracted light generated by the splicing gratings; and step two, grating two-dimensional translational precision measurement: the pitch angle theta<x>, the deflection angle theta<y> and the rotation angle theta<z> are adjusted to the qualified range, the test light beam is incident to the splicing slit of the gratings to be spliced, and the two-dimensional translational precision of the gratings is measured according to the far-field focal spot energy ratio of the zero-order reflected light generated by the splicing gratings. The method has the advantages of being high in measurement precision, weak in the coupling degree between all the degrees of freedom and easy and convenient to operate so that the splicing efficiency and the splicing precision of the gratings can be effectively enhanced, and the method can be used for space five-degree-of-freedom splicing precision measurement of the splicing gratings.

The invention discloses a digital X-ray image splicing method and system. The digital X-ray image splicing method comprises steps that a first detector and a second detector are arranged in a radiation vision field scope of a same beamer, plane distances from a bulb focus of the beamer to the first detector and the second detector are identical, an overlapping region X is arranged between the first detector and the second detector with intervals; a digital X-ray shooting system starts for exposure for one time, a first DR image of a focus portion is generated on the first detector, and a second DR image of the focus portion is generated on the second detector; the overlapping region X is cut from the second DR image to acquire a third DR image; the first DR image and the third DR image are spliced to acquire a fourth DR image; gray fusion for the splicing region is carried out to eliminate a splicing seam to acquire an image O; the image O is displayed. The method is advantaged in that the spliced image can be acquired through one-time exposure, and thereby a radiation dose and the patient positioning time can be greatly reduced.

The invention, which relates to the technical field of image processing, discloses an aerial image splicing method for an unmanned aerial vehicle comprising the following steps: S1, inputting two unmanned aerial vehicle aerial images to be spliced as a reference image and an image to be registered respectively; S2, processing the reference image and the to-be-registered image by using a FAST feature point detection algorithm to obtain FAST feature points of the reference image and the to-be-registered image; S3, extracting BRISK features and FREAK features at FAST feature points of the reference image and the to-be-registered image; S4, utilizing an HAMMING distance measurement criterion and a BF search strategy to respectively match the BRISK feature and the FREAK feature to obtain M optimal feature point pairs; S5, screening the feature point pairs by using an RANSAC algorithm, and calculating to obtain a coordinate transformation matrix between the feature point pairs; And S6, carrying out coordinate transformation on the to-be-registered image by using the coordinate transformation matrix, and carrying out weighted fusion on the to-be-registered image and the reference image toobtain a spliced image, The method has the advantages of high efficiency, high robustness and accurate splicing result.