Image registration method, device, computer equipment and storage medium

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By employing an image registration method that combines edge feature extraction and feature point matching, the problem of high maintenance costs for power grid transmission line components is solved, enabling low-cost image registration and real-time status monitoring.

CN117495927BActive Publication Date: 2026-07-24SHENZHEN POWER SUPPLY BUREAU

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Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: SHENZHEN POWER SUPPLY BUREAU
Filing Date: 2023-11-03
Publication Date: 2026-07-24

AI Technical Summary

Technical Problem

In existing technologies, the maintenance cost of power grid transmission line components is high, mainly because deep learning technology has high hardware cost requirements, resulting in high image registration costs, which affects the promotion and popularization of the method.

Method used

An edge feature extraction method is adopted. By performing differentiation, denoising and nonlinear spatial filtering on the reference image and the image to be registered, feature points are extracted and matched to complete image registration.

Benefits of technology

It reduces the cost of image registration, realizes a simple and low-cost image registration method, and enables real-time monitoring of the status changes of power grid transmission line components.

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Abstract

The application discloses an image registration method and device, computer equipment and a storage medium. The method can be applied to the technical field of image registration, and specifically can include: obtaining a reference image and a to-be-registered image of a target object; performing edge feature extraction on the reference image to obtain a first edge image, and performing edge feature extraction on the to-be-registered image to obtain a second edge image; extracting a first group of feature points of the first edge image and a second group of feature points of the second edge image; and performing feature point matching on the first group of feature points and the second group of feature points to complete image registration. The above scheme can reduce the cost of image registration.

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