164results about How to "Splicing speed is fast" patented technology

The invention discloses a method for splicing a video in real time based on multiple cameras, which comprises the following steps of: acquiring synchronous multi-path video data; preprocessing frame images at the same moment; converting a color image into a grayscale image; enhancing the image, and expanding the dynamic range of grayscale of the image by a histogram equalization method; extracting the characteristic points of corresponding frames by using a speeded up robust features (SURF) algorithm; solving matched characteristic point pairs among corresponding frame images of the video by using a nearest neighbor matching method and a random sample consensus matching algorithm; solving an optimal homography matrix of initial k frames of the video; determining splicing overlapping regions according to the matched characteristic point pairs; taking a homography matrix corresponding to a frame with highest overlapping region similarity as the optimal homography matrix, and splicing subsequent video frame scenes; and outputting the spliced video. The method can reduce the calculated amount of splicing the video frame single-frame image, improves the splicing speed of traffic monitoring videos and achieves real-time processing effect.

The invention belongs to the technical field of panoramic splicing, and discloses a panoramic splicing method based on multi-camera calibration, a panoramic splicing system, which respectively performs internal reference calibration and distortion parameter estimation on each camera. Several pairs of checkerboard pictures with different positions and postures are simultaneously collected from twoadjacent cameras respectively. Corner detection and matching are carried out after distortion correction of the pair of checkerboard pictures. The initial homography matrix between two cameras is selected and estimated from the interior points. The initial homography matrix between the two cameras and the calibration matrix are used to calculate the initial rotation matrix between the two cameras.The initial rotation matrices of all camera pairs are optimized globally according to the minimum re-projection error. M algorithm updates the parameters to get the final optimization results. The invention utilizes a multi-camera calibration method to make a splicing template, avoids the process of feature point extraction and matching required for each splicing, and still obtains a better splicing effect under the condition of fewer feature points or low overlap rate.

The invention provides a three-dimensional reconstruction-based unmanned aerial vehicle image stitching method. The method comprises the following steps of: obtaining unordered images shot by an unmanned aerial vehicle camera in a shooting area; carrying out feature point extraction on the obtained unordered images, carrying out feature matching on the extracted feature points to obtain matched feature point pairs; and sorting the unordered images according to the matched feature points and a sequence; analyzing the matched feature points so as to obtain camera attitude parameters, distortionparameters and space coordinates of the feature points; carrying out image clustering on the arranged images according to the camera attitude parameters and the space coordinates of the feature pointsso as to form a plurality of image clusters, respectively extracting dense point clouds of the image clusters, and completing dense matching; and carrying out ortho-rectification on the dense matchedimages according to the dense point clouds, the camera attitude parameters and the distortion parameters, and stitching the ortho-rectified images to obtain a stitched image. According to the method,the stitching speed is improved and projection distortion is not caused. The invention furthermore provides an unmanned aerial vehicle image stitching system.

The invention discloses a rapid image splicing method based on wide-angle lenses. The method includes the steps that firstly, distortion correction is conducted on images acquired through the wide-angle lenses; secondly, cylindrical surface mapping is conducted on the images on which distortion correction is conducted, and a two-dimensional discrete coordinate mapping table is generated for each wide-angle lens; thirdly, the two-dimensional discrete coordinate mapping table of each wide-angle lens is loaded, and distortion correction and cylindrical surface mapping are sequentially conducted on the distortion images acquired through the wide-angle lenses according to the tables; fourthly, translation parameters between adjacent visual angle images on which cylindrical surface mapping is conducted are acquired, and the adjacent visual angle images are registered; fifthly, the registered adjacent visual angle images are fused, wherein Laplacian pyramids are established for registered adjacent visual angle image sequences respectively, linear fusion is conducted on a high-frequency pyramid image overlaying region and a low-frequency pyramid image overlaying region, and then a fused image of the adjacent visual angle images is obtained. The method has the advantages of being high in splicing speed and real-time performance.

The invention applies to the technical field of image processing and provides a method and a system of real-time generating hemisphere panoramic video images through a single camera. According to the method and the system of real-time generating the hemisphere panoramic video images through the single camera, an ordinary single camera is currently used to continuously collect videos along with rotation of a tripod head and continuously collected multi-frame images are synthesized into the hemisphere panoramic video images through a computer in real time, wherein the tripod head rotates in a range of 360 degrees in a horizontal direction and 90 degrees in a pitching direction. The ordinary single camera is fast in calculation, montage and imaging, simple in equipment, low in cost and capable of being widely applied in the use of scene video monitoring, traffic monitoring, whole scene security and protection monitoring and the like in big occasions like station halls, airport waiting halls and the like.

The invention relates to a method for image mosaic without control points, which comprises the following steps: (1) acquiring an image sequence; (2) extracting a characteristic point set of each image in the image sequence; (3) searching homonymy point pairs of characteristic points between two adjacent images; (4) calculating a Homograph transformation relation between the adjacent images by using an RANSAC error-tolerant algorithm; and (5) using a continual multiplication formula and fusion technology to obtain mosaic results. Aiming at each characteristic point, the method can automatically collect a color channel with highest characteristic significance degree, so as to not only improve amount of the characteristic points greatly, but also improve significance and accuracy of the characteristic points. The method can be used as a correction method for human-computer interactive air photos to correct micro errors accumulated during mosaic. The method needs no control points, and has the advantages of high accuracy, low application cost and high efficiency.

The invention discloses a method for splicing a high-definition image panorama of a high-pressure rod tower on the basis of an ORB (Object Request Broker) feature point. The method comprises the following steps: 1) reading ultrahigh resolution high-pressure rod tower images of which the sizes are W*H, and sampling and reducing the to-be-spliced ultrahigh resolution images by utilizing a bilinear interpolation method, thereby obtaining a w*h image, wherein W, H, w and h are integers greater than 0 and k is the integer greater than 0; 2) utilizing an ORB algorithm to extract features of all the sampled images; 3) roughly matching the ORB features extracted in the step 2); 4) utilizing matching point pairs extracted in the previous step to extract the ORB features again in an image block in which the matching point pairs of an original ultrahigh resolution image are located, thereby finely matching; 5) calculating a transformational matrix H between adjacent images through the solved matching point pairs; and 6) utilizing a gradually fading method to fuse the adjacent ultrahigh resolution images. According to the method, the seamless splicing for the ultrahigh resolution images is realized, the time for splicing is reduced, the splicing efficiency is increased and the beneficial effect on the high-definition image is achieved.

The invention provides an image connection method based on a SURF algorithm, relating to the technical field of image processing. The problem of an unideal image connection processing effect caused by a low feature point extraction speed and low robustness in by using a SIFT algorithm and a Harris algorithms is solved. Matlab is applied to drive an industrial camera, and the calibration of a camera is completed so as to use the camera to carry out video recording. A gray world method is used to carry out white balance adjustment on each frame of image in a recorded video. The SURF algorithm is applied to carry out feature point extraction on two photos which are recorded at the same time after the white balance adjustment. A RANSAC algorithm is applied to carry out mismatching feature point pair removing on the two images whose feature points are marked. The interpolation is used, the images which are processed by the RANSAC algorithm are connected together, the image connection is completed, and an image with a larger viewing angle is obtained. The method is especially suitable for the image connection under an industrial camera platform.

The invention discloses a speeded up robust features (SURF) operand-based microscope image splicing method. In the method, an SURF operand is introduced in the field of microscope image splicing aiming at a large number of spot-like structures such as bubbles, cells and the like in a medical microscope image; the SURF operand is improved; an area is segmented and simultaneously a Gaussian weighting process is simulated; and the number of dimensions of a description vector is halved; therefore, the computational overhead for matching feature points is reduced. By applying the method, the matching accuracy is ensured and simultaneously the speed is improved greatly. The method can be suitable for the field of medical image processing and other computer vision research fields related to image splicing.

The invention provides a tunnel image splicing method and a tunnel image splicing system; the method and the system are used for carrying out splicing on an image collected by each camera in a tunnel image collection system; the tunnel image collection system comprises multiple cameras and a laser scanner; when carrying out the splicing on the tunnel images obtained by all cameras via single exposure on a certain section, the method comprises the following steps: working out an object distance corresponding to each of the cameras based on data of the laser scanner, carrying out normalization processing on the image collected by each camera, projecting all to-be-spliced images to a cylindrical surface, adopting SIFT (Scale Invariant Feature Transform) characteristic matching and obtaining matching points, calculating an initial transformation matrix, simplifying and extracting translation parameters to obtain a final transformation matrix among images, unifying a coordinate system, and fusing the images to obtain the splicing reconstructed smooth seamless tunnel image. The technical scheme disclosed by the invention has the advantages of fast splicing speed, relatively high splicing precision, high robustness, strong practicability and the like, and is convenient for subsequent tunnel disease detection.

The invention discloses an image splicing method based on grid deformation, relating to the technical field of image splicing. The method includes the following steps of S1 respectively extracting SIFT characteristics of two space adjacent images, and matching the characteristics; S2 performing iterative computation by means of an RANSAC algorithm and screening characteristic point pairs; S3 estimating the global projective matrix and performing global projective transformation; S4 by means of Delaunay triangulation, constructing a dense triangular grid for an overlapping region and constructing a sparse grid for a non-overlapping region; S5 establishing the grid deformation energy function and optimizing the global projective registration; and S6 fusing the images to produce a wide-view-field image. The dense triangular grid represents the overlapping region and the sparse triangular grid represents the non-overlapping region of the image, so that compared with the APAP method, the whole image uses dense and same matrix grids, the algorithm efficiency is greatly improved. Meanwhile, the grid deformation can make full use of the parallel and high-speed operation performance of the CPU, and the splicing speed can be greatly improved.

The invention brings forward a panorama image generation method and apparatus for a user terminal. The panorama image generation method for the user terminal comprises the following steps: obtaining multiple images shot by the user terminal, determining adjacent relations among the multiple images, and performing characteristic matching on adjacent images to obtain a matched characteristic point pair; according to the matched characteristic point pair and initial camera parameters, obtaining camera parameters after optimization; carrying out color adjustment on the adjacent images to obtain the adjacent images after the color adjustment; and according to the camera parameters after the optimization, splicing the adjacent images after the color adjustment so as to generate a panorama graph. The method provided by the invention can improve the image splicing speed.

The invention discloses a quick splicing method and system of infrared images. The method comprises steps of acquiring n images of a scene, wherein every adjacent two images are partially overlapped;using the SIFT algorithm to carry out characteristic point detection and characteristic point pre-matching on the images, and using a Manhattan distance as the similarity measurement during characteristic point matching; removing error matching, using the RANSAC algorithm to remove outer points, estimating model stability, and arranging the matching point pairs with the high reliability to be thefront line in the RANSAC algorithm; carrying out cylindrical projection on the images, projecting each pixel point of each picture to the same coordinate system, and using the linear weighting methodto carry out image fusion on the matched pictures so as to acquire a panoramic image of the whole scene. The system corresponds to the method. According to the invention, by improving the classic SIFTalgorithm and the RANSAC algorithm, under the condition that the splicing effects are not influenced, the splicing speed is increased and the splicing precision is quite high.

The invention discloses a joint section structure for a hybrid beam cable-stayed bridge. The joint section structure comprises a concrete beam-combined beam connecting structure connected between a concrete beam and a combined beam, wherein the combined beam comprises steel girders distributed in the longitudinal direction of the bridge, the steel girders are I-shaped and comprise steel girder top plates, steel girder base plates and steel girder web plates. The steel girder top plates and the steel girder base plates extend into the concrete beam, and the concrete beam-combined beam connecting structure comprises a front pressure bearing plate, a rear pressure bearing plate and a joint section steel web plate. The joint section structure is simple, reasonable in design, high in construction speed and good in using effect, and the problems of complicated structure, poor joint effect and the like existing in a steel-concrete joint portion structure can be solved. The invention further discloses a construction method of the joint section structure. The construction method comprises the steps of 1 erecting a construction support; 2 hoisting a steel structure; 3 constructing the concrete beam-combined beam connecting structure; 4 casting concrete. The construction method is simple in step, reasonable in design, convenient to construct, high in construction speed and good in construction effect.

The invention discloses a numerical control machine processing online measurement method. The method can realize online measurement of large workpieces. A binocular stereo vision measurement system is combined with a numerical control machine to complete integral measurement of the large workpieces under the traction of the numerical control machine. The method comprises the following steps of: calibrating internal and external parameters of a camera, and combining the measurement system and the numerical control machine; performing translation calibration and rotary calibration to calibrate direction vectors of X-axis and Y-axis of the numerical control machine and rotary matrix R and translation vector T after the measurement system rotates; dragging the measurement system to move by the numerical control machine to perform single view field scanning till traversing all surfaces of a measured workpiece; and finally, performing integral joint according to all view field point cloud data and the reading of a main shaft of the numerical control machine so as to complete integral measurement of the workpiece. The method has the characteristics of flexible use, convenience, high precision and the like, and can be used for online measurement of the large workpieces on an industrial site.

The invention relates to a method for welding steel sheets, in particular to a stainless steel sheet welding method capable of controlling deformation, which comprises the following steps: (a) grooves are processed in positions to be welded on two groups of stainless steel sheets; (b) two pieces of parallel flat steel are put on the surface of a workbench, the two groups of stainless steel sheets are respectively arranged above the flat steel and respectively use the flat steel as a fulcrum, the ends of which the grooves are processed on the two groups of stainless steel sheets are butted with each other, and the other end of each group of stainless steel sheets contacts the surface of the workbench; (c) two groups of pressure plates are respectively arranged above the steel sheets positioned on both sides of each piece of flat steel, and a weight block is arranged on the middle part of each of the two groups of pressure plates; (d) the two groups of stainless steel sheets are welded along the butted groove from above the stainless steel sheets; (e) and the weight blocks and the pressure plates are removed, and the stainless steel sheets with single welded surfaces are taken out. The method has the advantages of simple operation, convenient welding, small welding deformation, attractive formed appearance of welding seams, high splicing speed and high qualification rate for PT fault detection.

The invention relates to a stereoscopic vision fast image stitching method suitable for a space tether-robot. Based on ORB feature detection and an image stitching algorithm of a description algorithm, by comparing the method with a traditional stitching algorithm, it can be seen that the method is high in stitching precision and robustness and good in final image stitching effect, has the highest speed when compared with the traditional stitching algorithm, and has a wide application range and good application prospects. Compared with the prior art, the method has the advantages that time consumption of the method is small, the stitching speed is significantly improved, the infusion effect of stitching portions of an image is good, and noise immunity is strong.

This invention relates to a method of sliding-fingerprint sequence seamless construction technology in the domain of image process. It estimates the picture element translation between adjacent two fingerprint images based on the movement of block matching, and then obtains the estimation of the sub-picture element translation quantity by relative correlation, at last progresses the aperture self-fitted elimination by construction of linearity elasticity model. It consists of these steps: 1. detecting of the picture element translation of fingerprint sequence; 2. detecting the sub-picture element translation quantity; 3. gap adaptive removing. The advantages is suitable for every sliding fingerprint collection module.

The invention relates to a production method for a seamless nickel sheet with a microprism array. The production method includes the steps of manufacturing unit nickel sheets of required amount; performing finish machining to and removing burrs of the unit nickel sheets, and cutting two sides of a front surface of each unit nickel sheets to form a cut surface with certain angle; arranging the machined nickel plates as required, and welding the unit sheets from reverse surfaces to be sequentially connected to form a required large nickel sheet matrix; bending the welded large nickel sheet matrix, selecting a plastic cylinder with smooth inner wall, and fixing the bent large nickel sheet matrix on the smooth inner wall of the plastic cylinder; and placing the plastic cylinder with the large nickel sheet matrix adhered into an electroforming groove for electroforming, and forming the required seamless nickel sheet on the front surface of the large nickel sheet matrix. Cutting precision and splicing precision of the unit nickel sheets are controlled strictly, the surface of a die for producing the large nickel sheet matrix of the nickel sheet is seamless by the aid of the cylinder, and accordingly production of the seamless nickel sheet is truly achieved.

The invention discloses an image splicing method and device based on linear array camera shooting. The method comprises the following steps: dividing a image to be spliced into multiple rectangular areas XiYj according to the width X direction and length Y direction, wherein the X direction is the splicing direction, i=1 to m, and j=1 to n; setting the initial values of i and j as 1; calculating the offset of the overlapped part between the area XiYj and the area X(i+1)Yj; judging whether the calculated offset is in a preset range; if so, setting the calculated offset as the offset of corresponding Xi, and setting i=i+1 and j=1; otherwise, setting j=j+1; repeating the calculating and judging steps until i=m or j=n; and finishing the splicing operation according to the offset of corresponding Xi. When in image splicing based on linear array camera shooting, the technical scheme of the invention reduces the area of the part needing calculation by dividing the overlapped part and calculating the offset, thereby increasing the splicing speed.

The invention discloses a tunnel inspection image acquisition device and s tunnel inspection system. The tunnel inspection image acquisition device comprises a plurality of CD cameras, a plurality ofauxiliary light sources, and a fixed bracket, wherein the CD cameras and the auxiliary light sources are fixed on the fixed bracket, and fixing positions of the plurality of CCD cameras are arranged on the same circular ring; in a working state, the center of the circular ring is arranged at the circle center of a tunnel so as to ensure that the distances from the plurality of CCD cameras to a tunnel inner lining are identical, and the overall photographic angle of the plurality of CCD cameras cover the range of the tunnel inner lining. According to the tunnel inspection system, the tunnel inspection image acquisition device is arranged on a flaw detection mobile platform and cooperates with a computer, a display, a synchronous encoder and a data collector to perform synchronous photographing, disease identification, real-time stitching and display of the tunnel. The tunnel inspection image acquisition device and the tunnel inspection system have the technical features of wide detection range, fast detection speed and high timeliness.

The invention provides an image stitching method and apparatus which can be intended for reducing errors accumulated by stitching in adaptive multiple hierarchical stitching of aviation video images, can adaptively select proper processing level and registration algorithm on the basis of object scenario characteristics, which effectively addresses the dissipation and spreading caused by the increasing of image stitching errors alongside the image frames; also, a registrated image is subject to fusion processing by phasing in and phasing out, which better eliminates the stitching gaps caused by image transformation matrix accumulated errors and image brightness difference, a synthesized image of wide field of view and high resolution is obtained, and the precision and robustness of image stitching are noticeably improved; "characteristic stack" is used to store the characteristics of each frame image for performing registration and stitching with follow-up images, which can effectively reduce the amount of computing, saves the time for repetitively extracting image features, and further increases the speed of image stitching.

The invention discloses a quick binocular fisheye panoramic picture stitching method based on a fixed stitching parameter. The method comprises the following steps that: (1) arranging a fisheye panoramic picture stitching parameter acquisition device; (2) obtaining stitching parameters, i.e. a rotation offset parameter and a zone overlapping parameter; and (3) through the rotation offset parameter and the zone overlapping parameter, generating a fisheye panoramic picture stitching LUT (Lookup Table), and utilizing the LUT to realize the position mapping of the two fisheye pictures to the stitched picture so as to realize the quick stitching of the two fisheye pictures. Through a simple hardware device, the rotation offset parameter and an overlap ratio are obtained to obtain the LUT of the stitched fisheye picture, and the position mapping of the fisheye pictures to the stitched picture can be realized so as to realize the quick binocular fisheye panoramic picture stitching. The method has the advantages of being simple in operation, good in stitching effect, easy in hardware implementation and high in speed.

The invention relates to a method for manufacturing a holographic mother board by using a laser welding imposition, which comprises the following steps: arranging nickel boards of unit holographs according to the requirements, and welding each unit holograph by using the laser energy to manufacture a holographic mother board which has a large dimension and comprises a plurality of unit holographs. The invention has the advantages that the method can be used for splicing unit holographs of arbitrary dimensions and is particularly suitable for splicing unit holographs of large dimensions; the laser welding has the characteristics of fine, smooth and flat welding joints, small thermal deformation and the like and can realize digitally-controlled automatic operation, thus the splicing speed is quick, and the splicing precision is high; and the holographic mother board formed by welding can be electroformed and reproduced into a plurality of mother boards, and the large board formed by laser welding can be also directly arranged on a moulding press for use.

The invention discloses a panoramic image stitching method and a panoramic image stitching device in order to improve the speed of stitching and the visual effect of image matching. The method comprises the following steps: acquiring multiple images for panoramic stitching and saving the images to a database; selecting a first image and a second image from the multiple images according to preset selection rules, and detecting whether the overlap area of the first image and the second image reaches a preset threshold; and when the overlap area of the first image and the second image reaches the preset threshold, deforming the second image, and stitching the second image and the first image. According to the scheme, after the second image to be stitched is deformed, the second image is stitched together with the first image set as the datum of deformation in a matching manner. Thus, the speed of stitching is improved, and the quality and visual effect of image matching are improved.

The invention discloses a panoramic image splicing device. The panoramic image splicing device comprises an image splicing module and at least two image transmission paths, wherein each image transmission path comprises an image collection module, a distance detection module and a switch module, and a threshold distance is preset on each distance detection module. When each image collection module images an external object, each distance detection module detects the distance between each image collection module and the external object. When the distance between each image collection module and the external object is larger than or equal to each threshold distance of each distance detection module, each distance detection module controls opening and closing of each switch module, and an image collected by each image collection module is transmitted to the image splicing module through each switch module, and when the distance between each image collection module and the external object is less than each threshold distance of each distance detection module, each distance detection module controls each switch module to disconnect, and the image splicing module splices the image of each switch module and generates a panoramic image. The invention further discloses a panoramic image monitoring system which can accurately perform panoramic monitoring in real time.

The invention belongs to the technical field of marine coral biological research, and particularly relates to a coral distribution and health condition evaluation method based on deep clustering analysis. Acquired video images are spliced into a large image through an improved image splicing algorithm, target recognition detection is performed on warm water coral through a deep learning algorithm,then image segmentation is performed on a recognition target through a k-means segmentation algorithm, and finally coral distribution and health conditions are researched. According to the method provided by the invention, the image splicing efficiency is improved; smooth seamless splicing of the coral images is realized; the coral in the image is rapidly detected by using the YOLOV3, the coral coverage rate is improved by calculating the coral area through image segmentation, so that the overall calculation rate of coral distribution and health conditions is greatly improved, and a good effect is achieved for researching the coral reef distribution condition and health conditions.

The invention discloses a frame-skipping scanning and recognizing device and method, belonging to the field of computer peripheral equipment. The device comprises an optical sensor for taking images and a control module for processing the images and recognizing characters, wherein the optical sensor is used for continuously taking images of scanned characters so as to obtain an image frame sequence containing the scanned characters; the control module carries out downsampling on the image frame sequence according to scanning speed, the downsampled image frames are used as sampled frames, image frames not subjected to downsampling are used as skipping frames, the quantity of the skipping frames adjacent to the sampled frames is more than zero; and all the sampled frames obtained after downsampling are spliced, the character recognition and storage are carried out on a spliced panoramic image in sequence, and the character codes of the scanned characters are obtained. In the invention, image frames in the image frame sequence acquired by the optical sensor are screened through the control module, the obtained image frames to be spliced are spliced according to overlapping contents, and the splicing speed of the whole image frame sequence is improved.

The invention discloses a method for quickly stitching a panoramic image of a cube. The method herein includes the following steps: arranging a panoramic camera, simultaneously photographing a front space in the front, rear, left, right, above and below directions; calibrating the panoramic camera, acquiring a distortion correction parameter, further acquiring a linear transformation parameter and a cropping parameter of respective image; photographing scenes by using the panoramic camera, firstly conducting distortion correction on a camera lens by using the distortion parameter, then conducting rotation transformation and transverse transformation on each image by using the linear parameter; cropping the obtained 6 images in the centers in accordance with the cropping parameter, such that the 6 images are approximately the same in size and have a visual angle of 90 degrees in the horizontal direction and the vertical direction, and eventually, separately placing the squares which are obtained by cropping the 6 images at places where the panoramic image of a plane cube and the photographing camera correspond. According to the invention, the method only requires one time calibration process, can repeatedly use calibration parameters, simplifies the stitching process, accelerates the stitching speed, and saves great stitching time.

A method and apparatus for seamless splice of projection screens are provided. The method is used for fusing and splicing two or more projection images projected on a projection screen. The method comprises: acquiring two projection planes projected on the projection screen by two projection apparatuses, the two projection planes being a first projection plane and a second projection plane; performing brightness attenuation adjustment on an overlapping area of the first projection plane and the second projection plane to obtain an adjusted brightness fusion effect map; invoking the fusion effect map for each frame of images of the first projection plane and the second projection plane; adjusting the pixel of the overlapping area by using the texture mapping technology so as to make the image of the overlapping area fuse with the image of the projection screen except the overlapping area, thereby eliminating the gap and ghost at the junction of the overlapping area, so that the adjustedscreen picture is complete and clear.