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The paper presents a review of modern methods in the registration,processing, and analysis of dynamic processes in liquids, gases, plasmas,multiphase media, which are realized in researches and technology. The reviewauthor observes both the physical fundamentals of flow visualization and thebasics of modern technologies for the digital processing of recorded flowimages. A brief analysis of the panoramic visualization methods progresshistory covers a period of one and a half centuries. In the works of the lastdecade, the focus is on the methods of computer processing, tools, technologiesfor analyzing and recognizing panoramic thermophysical fields, which make itpossible to obtain quantitative information about flows. The review contains ananalysis of publications describing the main modern methods of visualization offlows: methods based on the phenomenon of refraction; electroluminescence;digital tracing (particle image velocimetry), visualization of surface flows(PSP and TSP coatings, liquid crystals; oil coatings). Particular attention ispaid to methods using cross-correlation image processing algorithms. Those are:digital tracing (PIV), shadow background method (BOS), seedless shadow methods,thermographic PIV, velocity measurement in viscous coatings, micro, tomographicmodifications of PIV, etc. The actual problem of digital data analyzing in apanoramic experiment is touched upon - the problem of big data. Examples ofmachine learning use in the analysis of big data sets of shadow surveys aregiven. Some examples of numerical simulation data visualization (simulation ofexperimental flowfields) are considered.

Methods for panoramic visualization and digital analysis of thermophysical flow fields. A review