Power multi-modal image registration method based on point feature matching
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.
substation inspectionmulti-modalimage registrationedge point featurescale-invariant feature transform
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