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Recent advances in digital image processing techniques, electronic and optical hardware have facilitated the investigation of fluid mechanics among the others. Flow visualization is the indispensable tool in the investigation of complex flow structures. The present study is focused in the development of an algorithm for particle tracking velocimetry (PTV), a powerful flow visualization tool, using cellular neural network. Significant improvement in computation time has been achieved with the proposed algorithm citing comfortable way to the use of neural network in flow visualization which was previously seemed tedious due to long computation time.
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