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Panoramic image splicing method based on image screening

A panoramic image and image technology, applied in the field of panoramic image stitching, can solve problems such as data redundancy, and achieve the effect of improving stitching rate and good stitching effect.

Inactive Publication Date: 2020-04-14
YANTAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The above method can stitch multiple images into a complete panoramic image, but as the number of stitching increases, the data will be redundant, resulting in a lot of unnecessary calculations

Method used

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  • Panoramic image splicing method based on image screening
  • Panoramic image splicing method based on image screening
  • Panoramic image splicing method based on image screening

Examples

Experimental program
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Embodiment 1

[0042] see figure 1 , in the process of panoramic image stitching, as the number of images stitched increases, the data will appear redundant, resulting in unnecessary calculations and reducing the stitching rate. In order to solve the above problems, the embodiment of the present invention proposes a panoramic image stitching method based on image screening, see figure 2 , the method includes the following steps:

[0043] 101: Quickly obtain the similarity matrix of the image group, and propose an image screening algorithm to remove redundant images from the original image group;

[0044] 102: Based on the weight matrix of the screened image group, find the optimal reference image, determine the splicing sequence and group the screened image group into multiple small image groups;

[0045] 103: Perform similar transformation between small image groups first to obtain initialized registration parameters, and then fine-tune the initialized registration parameters between adj...

Embodiment 2

[0047] The scheme in embodiment 1 is further introduced below in conjunction with specific examples, see the following description for details:

[0048] 201: Based on the shooting of the target area by the drone, multiple continuous images with overlapping areas are obtained as the original image group;

[0049] Wherein, the image information of the target area can be acquired through the operation of this step.

[0050] 202: Perform rough feature point matching on the original image group, and obtain a similarity matrix between images;

[0051] Wherein, the step 202 is specifically:

[0052] According to the number of feature points matching of two images, all images (I i i=1,...,N, N represents the similarity matrix M between the number of original images), where the similarity M(i,j) between the i-th image and the j-th image can be expressed as :

[0053]

[0054] Among them, p is the number of feature points in image i, and q is the number of feature points in image ...

Embodiment 3

[0093] In order to verify the effectiveness of the method, experiments are carried out in this section on two sets of images collected by UAVs, and the panoramic images generated from the original image set are compared with those generated from the filtered image set. Figure 4 It is the topological structure comparison of 61 images before and after screening, Figure 4 (a) is the topology of the original image group, Figure 4 (b) is the topological structure of the filtered image group, Figure 5 It is a comparison of the splicing results of 61 images before and after screening, Figure 5 (a) is the stitching result of the original image group, Figure 5 (b) is the mosaic result of the image group after screening; Figure 6 It is a comparison of the topological structure of 744 images before and after screening, Figure 6 (a) is the topology of the original image group, Figure 6 (b) is the topological structure of the filtered image group, Figure 7 It is a compariso...

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Abstract

The invention discloses a panoramic image splicing method based on image screening. The method comprises the steps of proposing an image screening algorithm according to a similarity matrix between images, and removing redundant images from an original image group; solving an optimal reference image based on the weight matrix of the screened image groups, determining a splicing sequence, groupingthe screened image groups, and dividing the image groups into a plurality of small image groups; carrying out similarity transformation between small image groups to obtain initialized registration parameters; and according to a splicing sequence, refining the initialized registration parameters between adjacent images through a homography model under perspective constraints. According to the invention, an unmanned aerial vehicle screens a plurality of images with overlapped areas collected in a target area; redundant images are removed out of the image group; and finally the panoramic image of the target area is spliced through the screened image groups.

Description

technical field [0001] The present invention relates to the field of panoramic image stitching, in particular to a panorama image stitching technology based on image screening based on the collection of multiple images with overlapping regions by a drone. Background technique [0002] UAV remote sensing is a new remote sensing method, which has shown a good momentum of development in recent years because of its high efficiency, flexibility, speed, low cost and high resolution. However, because the UAV remote sensing platform is limited by the flight height and the focal length of the camera during the aerial photography process, the range of the single image acquired is small and often cannot cover the entire required area. Image splicing into a panoramic image with a large viewing angle has become an important technology. [0003] Panoramic image stitching can stitch multiple adjacent small-view images into a large-view panoramic image. Image stitching is the mapping of a...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/50G06T7/33G06K9/62
CPCG06T3/4038G06T5/50G06T7/33G06T2207/10032G06T2207/20212G06F18/22
Inventor 阎维青魏鑫顾美琪苏凯祺
Owner YANTAI UNIV
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