116results about How to "Improve stitching quality" patented technology

A method for providing data useful in procedures associated with the oral cavity, in which at least one numerical entity representative of the three-dimensional surface geometry and color of at least part of the intra-oral cavity is provided and then manipulated to provide desired data therefrom.

The invention provides a rapid image splicing method based on feature matching. The method includes the steps: respectively extracting line features and point features of images by the aid of a Canny edge detection algorithm and a Harris corner point detection algorithm and combining the line features and the point features to obtain the best feature points; roughly matching the feature points by the aid of similarity metric NCC (normalized cross correlation), removing mismatched points by the aid of an RANSAC (random sample consensus) algorithm to improve image matching accuracy, and calculating transformation model parameters by an LSM (least square method); finally, fusing the spliced images by a weighted average method and eliminating splicing gaps. The points to the matched are determined according to the point and line image features, image details can be enhanced, image matching errors caused by underexposure, overexposure, camera shake and the like are avoided, and image splicing quality is improved to a certain degree.

The invention discloses a multi-resolution image stitching method based on control points. The multi-resolution image stitching method includes the steps that 1, unmanned-aerial-vehicle aerial photography sequence images are obtained, wherein rotation and transverse-movement transformation relations of the images are obtained through two sets of ground control point pairs in overlapped areas of the adjacent frames of low-resolution images, and finally the low-resolution sequence images are stitched and fused; 2, the stitching result of the low-resolution sequence images serves as a high-accuracy matching template, and final integral image matching is completed from coarse to fine; 3, the high-resolution sequence images matched to the template serve as growing points, the high-resolution sequence images of four adjacent regions of the growing points are stitched and fused through region growing, and the corresponding low-resolution images are replaced; then the high-resolution images of four adjacent regions serve as new region growing points for continuous growing till all the sequence images are matched to the template. By means of the multi-resolution image stitching method, the technical problems that in the existing image stitching technology, the image matching efficiency is low, and the aerial photography sequence images can not be stitched in real time are solved.

A continuous method for producing composite elastic yarns at speeds up to 700 m/min by (a) stretching (drafting) an elastomeric yarn (e.g., spandex) by 2.0×(100%) to 10.5×(950%) while heating (max. heating temperature 220° C.) in a single or double stage draft, (b) air-jet entangling with a relatively inelastic yarn component to create a composite elastic yarn, and then (c) in-line heat-treating (max. heating temperature 240° C.) the composite elastic yarn. The initial draft stage(s) may also be carried out at ambient temperature. The resulting composite elastic yarn has improved stitch clarity, particularly suited for hosiery, and its properties can be tailored to provide fabric properties for knit and woven fabrics hitherto not possible with standard spandex yarns.

There is provided a method of processing digital images associated with a parallax shift for creation of a digital panoramic image, comprising: computing a respective depth map storing values denoting distances to regions of a scene, for each camera located at a respective first position, capturing a respective image by each camera, virtually rotating each camera to second positions at respective angles computed according to a certain region of the image relative to the center point of the camera, mapping between each respective region of the image associated with each respective second position and a corresponding region of the respective depth map computed for the respective camera, and adjusting intensity values of pixels of the regions of each image according to corresponding distance values of the mapped regions of the depth map of the respective camera, to create a plurality of adjusted images for creation of the panoramic image.

The presently claimed invention provides a method for stitching a plurality of images together in a way with least memory and CPU usage, and minimum file input and output, while still possessing fast computation speed to avoid post-scan delay for whole slide viewing and good stitching quality. The method of the present invention comprises the steps of calculating featureness of each candidate strip of a image by applying a mathematical transformation, calculating offset of the strip with correlation maximum location, calculating stitching reliability of the candidate strip from the pre-defined weighted function of its featureness and the correlation coefficients of each matching block, and determining optimal stitching path with stitching reliability.

The embodiment of the invention provides an image splicing method and device and electronic equipment, and the method comprises the steps: determining a feature point matching pair between two to-be-spliced images; acquiring internal parameter matrixes and external parameter information of two cameras which shoot the two to-be-spliced images; calculating a first homography matrix between the two to-be-spliced images based on the acquired internal parameter matrixes and external parameter information; according to the first homography matrix, removing wrong feature point matching pairs from thefeature point matching pairs, and obtaining first feature point matching pairs; and splicing the two images to be spliced into a spliced image according to the first feature point matching pair and the first homography matrix. According to the invention, the first homography matrix is determined according to the property of the cameras, so that the wrong matching point pairs can be removed no matter the quantity is large or small, and the purpose of improving the splicing quality of the spliced image is achieved.

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 provided a method for splicing a plurality of images together. The method occupies the smallest memory and the lowest CPU utilization rate, has the smallest file input and output, and still has a higher calculation speed and provides good splicing quality at the same time. The method comprises the steps as follows: a characteristic of each candidate strip of an image is calculated by using mathematical manipulation; matching blocks used for calculating deviation amount between adjacent images are selected at the same time; positions of search blocks which have the maximum correlation coefficients with the matching blocks in the adjacent images are calculated, so that the deviation of the candidate strips is determined; and the splicing reliability of the candidate strips is calculated according to the maximum correlation coefficient of each predefined matching block and the weighting function of the characteristic of the matching blocks, and an optimum splicing path is determined according to the splicing reliability.

An embodiment of the present invention provides an image mosaic method, device, electronic apparatus and storage medium. The method includes determining an image feature compensation value of an imageto be compensated in a mosaic overlap area and a first region to be compensated in the mosaic overlap area, determining an abutment line between a non-mosaic overlap area of an image to be compensated and a first area to be compensated, determining a second region to be compensated with an adjacent line as a boundary line in the non-spliced overlap region. The image feature compensation value ofthe second region to be compensated is calculated according to the image feature compensation value of the mosaic overlap region, and the image to be compensated and the standard image are mosaic intoa mosaic image according to the image feature compensation value of the mosaic overlap region and the image feature compensation value of the second region to be compensated. Thus, when stitching images, the second area to be compensated that may exist in the stitching is compensated, thereby avoiding the generation of stitching and improving the stitching quality.

The invention discloses an image splicing method based on an improved ORB feature algorithm. The method comprises the following steps: constructing a Hessian matrix, and determining feature points ofeach to-be-spliced image; extracting a feature descriptor of each image to be spliced by using a BRIEF binary feature descriptor; performing rough matching by using a Hamming distance, and distinguishing correct matching point pairs from wrong matching point pairs by using a grid motion feature algorithm; removing error matching feature point pairs by using an improved random sampling consistencyalgorithm; searching an optimal suture line; dividing an overlapping region; and performing segmented fusion to complete image splicing. Through the multi-scale space theory, the Hessian matrix and the Gaussian pyramid are used for improving the registration method, the purpose of scale invariance is achieved, and meanwhile the matching precision of the matching point pairs is improved.

The invention discloses an image stitching support method and a terminal. The image stitching support method comprises the steps that a first camera and a second camera are started for shooting, and shot images are saved as a first image and a second image respectively, wherein a shooting area of the first camera and a shooting area of the second camera overlap; an overlapping area of the first image and the second image is determined; and the first image and the second image are stitched together with the determined overlapping area being a benchmark. Through the technical scheme, image stitching can be realized by use of the two cameras on the terminal, the shooting process is simple, and image stitching quality is high.

There is provided a method of processing digital images, comprising: selecting a reference digital image according to a uniform distribution requirement of pixel intensity values, performing for each certain overlapping image that overlaps with at least one other image at a respective overlapping region: computing a value for each respective gamma parameter for each channel of the certain overlapping image to obtain a correlation between pixel intensity values, corrected with the respective gamma parameters, of each channel of each overlapping region of the certain overlapping image, and pixel intensity values, corrected with respective gamma parameters, computed for each of the at least one other image, for each channel of each respective overlapping region, and creating corrected images by applying the computed value of each respective gamma parameter to the overlapping and non-overlapping regions of each certain overlapping image of the plurality of overlapping images.

The invention relates to an image splicing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining to-be-processed images collected from different visual angles, converting the to-be-processed images into a unified coordinate space, and obtaining converted images corresponding to the to-be-processed images; determining an overlapping region of each converted image; based on the pixel points of each converted image in the overlapping area, obtaining spatial domain optical flow information, wherein the spatial domain optical flow information is used for representing the deviation degree of each pixel point in the overlapping area; and splicing the converted images according to the airspace optical flow information. By adopting the method, the image splicing quality can be improved.

The invention discloses a self-adaptive panoramic stitching method based on pictures captured by a dome camera. The method comprises the following steps: S10, controlling the dome camera to capture aplurality of images of which the front parts and the rear parts are partially overlapped in a 360-degree range at preset rotation time and rotation angular speed; s20, preprocessing the image and calibrating a feature point selection region; s30, feature points are extracted from the calibrated feature point selection area, and feature point matching is carried out; s40, performing mapping correction and transition reduction on the spliced image; and S50, panoramic image splicing is carried out. According to the self-adaptive panoramic stitching method based on the dome camera snapshot pictures, the images snapshot by the dome camera can be spliced in a self-adaptive manner; by calibrating the feature point selection area, the feature point detection area is reduced to the image overlapping area from the whole image, the matching quality of the feature points is optimized while the detection efficiency is improved, the splicing efficiency and the splicing quality are greatly improved,and 360-degree dead-corner-free monitoring of a scene is realized.

The invention relates to the field of computer image processing and map surveying and mapping, in particular to a multi-air strip video image splicing and positioning method based on multi-rotor unmanned aerial vehicle flight path constraint, which is mainly used for improving the splicing quality of the images between the air strips and the positioning precision of a panorama. The method comprises the following steps of firstly, processing the GPS information of all images in an aerial video, obtaining the flight path information, then performing a series of image processing operations on theto-be-spliced image to obtain a homography matrix, mapping the to-be-spliced image into the spliced image by utilizing the matrix, and finally realizing a GPS positioning function by utilizing a one-to-one correspondence relationship between the image and the GPS information. According to the invention, the image splicing effect under the condition that the plurality of air strips are parallel can be effectively improved, all scene information shot during the flight process of the unmanned aerial vehicle can be truly reflected by the obtained splicing result, in addition, the GPS coordinatesof each pixel point in the splicing result can be positioned by combining the GPS information acquired in the flight process, and the positioning error is not more than 10m.

The invention discloses a novel concrete formwork which comprises a plurality of formwork units and formwork fasteners, wherein the plurality of formwork units are mutually spliced, and the formwork fasteners are used for connecting the plurality of formwork units; the formwork units are mutually spliced by rabbets and mortises or connecting rods inserted in the mortises arranged on the formwork units, and the formwork fasteners are arranged on the joints of the formwork units by fixing bolts. In the novel concrete formwork, because the formwork units are mutually spliced by the rabbets and the mortises with a high speed, the production efficiency can be improved, and due to the accurate positioning among the formwork units, the splicing quality can be improved; and the formwork units can also be tightly spliced to the concrete formwork with a set shape, splicing crevices among the formwork units are narrowed, and the surface of the concrete formwork can not generate obvious raised edges after concrete cures so that the whole effects of buildings are improved.

The invention discloses a portable plate sewing machine and a usage method thereof. The portable plate sewing machine comprises a guide mechanism, a work wheel set, a guide-in plate and a locking mechanism. An installation seat and the guide mechanism are connected through a sliding block, thereby being stable in transmission and reliable in work. Through matching of the work wheel set, sewing can be conducted stably with high quality when the portable plate sewing machine works. Through the locking mechanism, the portable plate sewing machine can be self-adaptive to plates with different thicknesses while the portable plate sewing machine clamps a turned edge tightly very well. The connection structure, the locking structure and the guide structure of the portable plate sewing machine are very compact and reliable, so that the portable plate sewing machine is small in size, low in weight and good in sewing quality. The portable plate sewing machine is used for sewing of the plates.