Method for panoramic image stitching of nuclear fuel assembly based on key point detection network
Year: 2025
Type: article
Abstract: This paper belongs to the technical field related to video image processing of nuclear fuel assemblies, and describes a panoramic stitching method for vertical motion videos of nuclear fuel assemblies. The process of this method includes: using a key point detection network to identify the upper nozzle of the nuclear fuel assembly to determine whether the fuel assembly image is tilted; if the image is tilted, performing image rectification work; subsequently using an object detection network to identify the grids of the nuclear fuel assembly; calculating the motion velocity of the grids according to the positional changes of the grids and the variation of frame numbers; estimating the velocity of fuel rods based on the grid velocity; converting the velocity into the motion distance between each frame; finally cropping each subsequent frame, sequentially stacking them downward into the panoramic image, and obtaining a complete panoramic image of the fuel assembly. This method overcomes the problem of panoramic stitching failure caused by the scarcity of fuel rod feature points, and has the advantages of a wide application range and the ability to perform automatic panoramic stitching in scenarios where fuel assembly images are tilted.
Author: Jinyuan Zhang
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $200
OpenAlex ID: W4416773772