The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems

The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems

This study presents a method for aligning the geometric parameters of images in multi-channel imaging systems based on the application of pre-processing methods, machine learning algorithms, and a calibration setup using an array of orderly markers at the nodes of an imaginary grid. According to the...

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Bibliographic Details
Main Authors: Kyrylo Romanenko, Yevgen Oberemok, Ivan Syniavskyi, Natalia Bezugla, Pawel Komada, Mykhailo Bezuglyi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
geometric calibration
multi-channel imaging systems
image processing
image analysis
image alignment
machine learning algorithms
Online Access:https://www.mdpi.com/1424-8220/25/2/544
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