Infrared and visible light image registration method for power equipment

Abstract

The invention provides an infrared and visible light image registration method for power equipment. The method comprises the following steps: respectively carrying out side window box filtering on aninfrared image and a visible light image of the power equipment; respectively extracting the edges of the two images by using an RCF network; extracting feature points of the edges of the two images respectively by adopting a KAZE algorithm, generating feature descriptors of the feature points of the edges of the two images respectively by adopting a directional filter based on an MPEG7 standard and a weight response matrix, and finally screening matching points through an Euclidean distance between the feature descriptors of the edges of the two images; and obtaining an optimal homography matrix H between the edge of the infrared image and the edge of the visible light image, and completing image registration. According to the method, the noise of the infrared images is reduced, meanwhile, the number of matching points between the two images is not obviously influenced, the edge detection of the two images is more accurate, the edge feature extraction mode is more stable, and the registration accuracy between the images is effectively ensured.

Description

Technical field[0001]The invention relates to a method for registering infrared and visible light images of power equipment, and belongs to the field of computer vision and power.Background technique[0002]With the increasing demand for reliability of power supply, the continuous operation time of electrical equipment is getting longer and longer. However, since electrical equipment is exposed to high temperature, high pressure, and high load outdoors for a long time, defects, deterioration, and even accidents are very prone to occur. Therefore, it is of great significance to conduct state inspection and fault diagnosis of electrical equipment on a regular basis to ensure its normal and stable operation. At present, infrared and visible light images are widely used in electrical equipment inspection tasks. Infrared images can provide thermal radiation information of electrical equipment, and can detect faults and hidden dangers that cannot be found by traditional methods; visible lig...

AI Technical Summary

Problems solved by technology

However, the infrared image has a lot of noise, and the image needs to be filtered before image registration, and the existing filtering methods, such as median filtering, mean filtering or bilateral filtering, will blur the edge information of the image, resulting in infrared and visible light images. The number of matching point pairs between them is small, and the matching accuracy of the images is not high. Moreover, how to make the edge detection of infrared and visible light images more accurate, the way of extracting edge features more stable, and further improve the registration accuracy between the two images, It is also an ever-existing demand in this field

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