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Grayscale image matching method and device for geographic image splicing

A technology of image matching and geography, applied in the field of image matching, it can solve problems such as the inability to quickly and accurately match images, and achieve the effects of improving speed and accuracy, reducing data volume, and saving resources and time.

Inactive Publication Date: 2021-01-12
ZHUHAI DAHENGQIN TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects in the prior art that cannot quickly and accurately match images with large geometric differences such as translation, scale, and rotation, and large radiation differences, so as to provide a gray image mosaic for geographic images. Degree image matching method and device

Method used

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  • Grayscale image matching method and device for geographic image splicing
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  • Grayscale image matching method and device for geographic image splicing

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Embodiment 1

[0040] Such as figure 1 As shown, the present invention provides a gray scale image matching method for geographic image stitching, the method comprising the following steps:

[0041] S1. Perform polar coordinate conversion on the first geographic image, and convert the converted first geographic image data into a first data string uniquely representing the first geographic image;

[0042] In the embodiment of the present invention, the polar coordinate conversion of the first geographic image is performed to perform normalized conversion calculation, and then the data is converted into the first data string uniquely representing the geographic image, from the complex first geographic image with multiple interference factors The data is converted into a simple first data string, which reduces the amount of matching data, and the identity is unique, which reduces the amount of data that needs to be matched during matching, thereby improving the speed and accuracy.

[0043] S2....

Embodiment 2

[0072] This embodiment provides a grayscale matching device for geographic image mosaic, such as Figure 5 shown, including:

[0073] 301. A conversion module, configured to perform polar coordinate conversion on the first geographic image, and convert the converted first geographic image data into a first data string uniquely representing the first geographic image;

[0074] 302. The similarity calculation module is used to repeatedly perform the following steps until the similarity calculation is completed for all matching areas: obtain the outline of the target pattern in the second geographic image as the target pattern search area; select in the target pattern search area A matching area of ​​the same size as the first geographic image, performing polar coordinate conversion on the matching area, and converting the converted matching area image data into a second data string for uniquely identifying the matching area; calculating the second a degree of similarity between...

Embodiment 3

[0078] An embodiment of the present invention provides an electronic device, such as Figure 6 As shown, the electronic device includes a processor 21 and a memory 22, wherein the processor 21 and the memory 22 may be connected through a bus or in other ways.

[0079] The processor 21 may be a central processing unit (CPU). The processor 21 can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware Chips such as components, or a combination of the above-mentioned types of chips.

[0080] The memory 22, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as the grayscale image matching method used for geographical image stitching in the embodiment of the pr...

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Abstract

The invention discloses a grayscale image matching method and device for geographic image splicing. The method comprises the steps of carrying out the polar coordinate conversion of a first geographicimage, and obtaining a first data string which uniquely represents the first geographic image; obtaining the contour of a target pattern in a second geographic image; selecting a matching area with the same size as the first geographic image from a target pattern search area, carrying out polar coordinate conversion on the matching area, and obtaining a second data string uniquely identifying thematching area; calculating the similarity between the first data string and the second data string; and until similarity calculation of all the matching areas is completed, selecting the matching area with the maximum similarity as a target pattern, and acquiring the position and direction of the target pattern. According to the method, the matching search range is narrowed through preprocessing,and the matching speed is increased; pixel points are sequentially combined and calculated to obtain the only data string representing the image, so that the data are reduced, unique and accurate, and the matching speed and accuracy are improved.

Description

technical field [0001] The invention relates to the field of image matching, in particular to a grayscale image matching method and device for geographical image splicing. Background technique [0002] As one of the most important technologies in the field of modern information processing, image matching technology has been used in more and more fields, including resource analysis, weather forecast, medical diagnosis, industrial manufacturing, security monitoring, intelligent transportation, etc. Image matching refers to identifying points with the same name between two or more images through a certain matching algorithm. The window center point corresponding to the maximum is used as the point with the same name. Its essence is the optimal search problem using matching criteria under the condition of primitive similarity. Grayscale image matching technology is currently widely used in life and work. However, the traditional matching method is time-consuming and difficult ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/44G06V10/751
Inventor 邓练兵陈小满卢振兴
Owner ZHUHAI DAHENGQIN TECH DEV CO LTD
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