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Template-based Poisson fusion image splicing method, system and device, and medium

A technology for fusing images and benchmark images, applied in the field of image processing and computer vision, it can solve the problems of size misalignment, ghosting, image scale changes without feature invariance, etc., to improve accuracy, solve ghosting and gaps. Effect

Active Publication Date: 2019-10-29
QILU UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Chris proposed the Harris interest point detection algorithm. This method realizes that the extracted feature points are invariant to translation and rotation, and has good robustness to parameter changes, noise, image changes, and illumination transformations. However, the disadvantages are It is not feature invariant to the scale change of the image
[0011] However, there are currently some problems in the image stitching part that affect the stitching effect, such as: poor lighting, misaligned sizes, moving objects, etc.
These issues can cause gaps and ghosting when stitching in overlapping areas

Method used

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  • Template-based Poisson fusion image splicing method, system and device, and medium
  • Template-based Poisson fusion image splicing method, system and device, and medium
  • Template-based Poisson fusion image splicing method, system and device, and medium

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Embodiment 1

[0044] Embodiment 1, this embodiment provides a template-based Poisson fusion image stitching method;

[0045] Such as figure 1 As shown, the template-based Poisson fusion image stitching method includes:

[0046] S1: Obtain two images to be stitched, and extract feature points from each image to be stitched;

[0047] S2: Use the particle swarm optimization algorithm to match the feature points of an image to be stitched with another image to be stitched;

[0048] S3: Find an overlapping area between an image to be stitched and another image to be stitched;

[0049] S4: Based on the gray value and the graph cut algorithm, find the best suture line in each overlapping area;

[0050] S5: Create a template based on the best suture line;

[0051] S6: Based on the template and the Poisson fusion algorithm, the images to be stitched are stitched to obtain a panoramic image.

[0052] As one or more embodiments, the feature point extraction is performed on each image to be spliced;...

Embodiment 2

[0109] Embodiment 2, this embodiment provides a template-based Poisson fusion image stitching system;

[0110] Template-based Poisson fusion image stitching system, including:

[0111] A feature point extraction module is used to obtain two images to be spliced, and extract feature points from each image to be spliced;

[0112] A feature point matching module is used to perform feature point matching of an image to be stitched with another image to be stitched using the particle swarm algorithm;

[0113] An overlapping area search module is used to find overlapping areas between an image to be stitched and another image to be stitched;

[0114] The best suture finding module is used to find the best suture in each overlapping region based on gray value and graph cut algorithm;

[0115] A template creation module for creating a template based on the best seam;

[0116] The image stitching module is used for stitching the images to be stitched based on the template and the Po...

Embodiment 3

[0117] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, each step in the method is completed. For the sake of brevity, the operation will not be repeated here.

[0118] Described electronic device can be mobile terminal and non-mobile terminal, and non-mobile terminal comprises desktop computer, and mobile terminal comprises smart phone (Smart Phone, such as Android mobile phone, IOS mobile phone etc.), smart glasses, smart watch, smart bracelet, tablet computer , laptops, personal digital assistants and other mobile Internet devices that can communicate wirelessly.

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Abstract

The invention discloses a template-based Poisson fusion image splicing method, system and device, and a medium, and the method comprises the steps: obtaining two to-be-spliced images, and carrying outthe feature point extraction of each to-be-spliced image; performing feature point matching on one to-be-spliced image and the other to-be-spliced image by using a particle swarm algorithm; finding an overlapping region for one to-be-spliced image and another to-be-spliced image; finding an optimal suture line in each overlapping region based on the gray value and a graph cut algorithm; creatinga template based on the optimal suture line; and based on the template and a Poisson fusion algorithm, splicing the to-be-spliced images to obtain a panoramic image.Splicing of multiple images can bebetter realized, and the problems of ghosting and gaps in a splicing result are effectively solved.

Description

technical field [0001] The present disclosure relates to the technical fields of image processing and computer vision, in particular to a template-based Poisson fusion image mosaic method, system, device and medium. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In the process of realizing the present disclosure, the inventors found that the following technical problems existed in the prior art: [0004] Image stitching technology is an important research direction of computer vision. Since the viewing angle of most cameras and monitoring equipment is relatively narrow, panoramic images are very important and can display a wide range of environmental views. The emergence and development of stitching technology provides an effective solution for obtaining wider viewing angles, higher resolution and panoramic images, and has been widely used in v...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/33
CPCG06T3/4038G06T7/33G06T2207/20221G06T2207/10004Y02T10/40
Inventor 李爱民逄业文王建文
Owner QILU UNIV OF TECH
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