A precise and reliable measurement on superposing particles in multi-phase flow using an image process method is eagerly needed. In our research, we propose a stereo image method compounded with a new voting method, in which, we combine a normal-line algorithm with the voting method for the separating and locating of particles, and also devised a local maximum detection algorithm to improve the voting precision. After evaluating on measurement precision by simulation experiment, we present extensive experimental results on processing actual solid-liquid two-phase flow images using the proposed method. The result reveals that the presented method is effective and applicable for the detection of overlapping solid particles under a high void fraction condition than other methods.
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