Traditional pipeline vibration measurement methods primarily rely on sensor technologies such as accelerometers and laser vibrometers. Although these methods can provide certain vibration information, they are often limited by point measurements, low spatial resolution, and complex installation, making it difficult to comprehensively reflect the vibration characteristics of pipeline systems. With the rapid development of high—speed camera technology, vision—based vibration measurement methods have—gradually become a research hotspot. This paper investigates algorithms for characterizing and reconstructing the vibration field of pipeline systems using high-speed cameras. High -speed cameras offer a non-contact, full-field, and precise means of vibration measurement capable of characterizing and reconstructing the vibration field of pipeline systems in complex industrial environments. By reconstructing the vibration field from minute changes, comprehensive analysis of pipeline vibrations can be achieved, providing crucial data support for vibration control and optimization design. The modal shapes of a typical pipeline were extracted and reconstructed, and the results were found to be consistent with the modal patterns of classical pipelines. Experimental comparisons validated the correctness of this method.