Processing flow visualisation records by correlation coefficient evaluation in sub-images

Abstract eng:
Authors introduced a new method of processing flow visualisation images, aiming at identification of instability structures. In principle, the method utilises the structures' coherence. In two digital images, recorded at slightly different instants of time, the pixel pairs from the same position in the images are interrogated one by one. In each, vectors of the recorded quantity values are formed from n x n pixels in immediate neighbourhood. The correlation coefficient is then computed for the vector pair. High positive values of the coefficient indicate absence of change whereas values near zero indicate chaotic changes. Of interest are negative values, which indicate a coherent motion.

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