工程设计学报2024，Vol.31Issue(6)：707-715,9.DOI:10.3785/j.issn.1006-754X.2024.03.201
基于点特征匹配的电力多模态图像配准方法
Power multi-modal image registration method based on point feature matching
摘要
Abstract
As a common application mode of multi-modal data registration,the registration of visible images and infrared images of power equipment has significant application value in substation inspection process.However,due to the differences in resolution,perspective and lighting conditions between data captured by inspection robots and humans,the registration of visible images and infrared images of power equipment faces considerable challenges.Aiming at the feature-level consistency between two types of images,a scale-invariant feature transform algorithm based on the power equipment edge point features was proposed.By constructing bilateral feature descriptors and incorporating the distance between bilateral feature points as a confidence constraint,the modal difference between visible images and infrared images was reduced,and the high-precision registration of multi-source heterogeneous image data of critical equipment for substation primary and secondary power distribution networks was achieved.The experimental results showed that the proposed method exhibited strong robustness against variations in resolution and perspective,delivering excellent performance in practical applications of multi-modal image registration for power equipment.The research results provide theoretical support and engineering guidance for enhancing the intelligence and reliability of power equipment inspection.关键词
变电站巡检/多模态/图像配准/边缘点特征/尺度不变特征变换Key words
substation inspection/multi-modal/image registration/edge point feature/scale-invariant feature transform分类
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钟宇峰,林昊,林楠,汪铭峰,郭世晓,洪兆溪,孔麒,冯毅雄..基于点特征匹配的电力多模态图像配准方法[J].工程设计学报,2024,31(6):707-715,9.基金项目
浙江省重点研发计划资助项目(2022C01238,2021C01110) （2022C01238,2021C01110）
国网杭州供电公司群众性创新项目(5211HZ230015) （5211HZ230015）
