Image recognition of channel bubbles based on iterative dynamic threshold method

Jifei Wu; Simin Liu; Yuying Zhang

doi:10.1117/12.2635672

6 May 2022 Image recognition of channel bubbles based on iterative dynamic threshold method

Jifei Wu, Simin Liu, Yuying Zhang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122560W (2022) https://doi.org/10.1117/12.2635672
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

The method of image recognition and analysis has become an important means of two-phase flow research. Through the bubble evolution pictures obtained in the two-phase flow experimental device, the generation dynamic threshold image processing method is adopted to reduce the impact of image environment changes, and the appropriate threshold is automatically obtained for image segmentation. The gray level and spatial position information of point pixels are introduced to avoid large distortion of specific images, automatically identify the relevant parameters of bubble flow, deduce the bubble size and group distribution from the measured data, and analyze the bubble characteristics. Iterative dynamic threshold image processing method is complex, but it has strong anti-noise ability. It has a good recognition effect for images that are not easy to be segmented by global threshold.

Citation Download Citation

Jifei Wu, Simin Liu, and Yuying Zhang "Image recognition of channel bubbles based on iterative dynamic threshold method", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122560W (6 May 2022); https://doi.org/10.1117/12.2635672

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