Electromagnetic flow measurement is critical in the industrial manufacturing process. But, it is susceptible to the influence of air bubbles in the fluid, which will impact the measurement accuracy and cause variations in the measurement findings. Enhancing measurement accuracy by using techniques is essential. This study presents a theoretical model of the influence of bubbles on electromagnetic flow measurement from the standpoint of weight function to address the measurement optimization problem of electromagnetic flow measurement accuracy affected by bubbles. Secondly, the influence of bubbles on the weight function is investigated by using finite element simulation. An optimization method based on image acquisition and processing technology is proposed to reduce the influence of bubbles on electromagnetic flow measurement based on the simulation results. Finally, to test the feasibility of the optimization method, a bubble image processing algorithm is created, and an experimental platform for measuring gas-liquid two-phase flow electromagnetic flow is established. Experimental results show that the optimization method effectively reduces the sensitivity of the electromagnetic flow measurement system under the influence of bubbles. The error reduction amplitude is larger than 82. 63% , with a maximum error reduction amplitude of 91% . After optimization, the measurement error in the presence of bubbles is within ±3. 03% . The study effectively reduces the error of electromagnetic flow measurement caused by bubbles and provides technical support for improving the measurement accuracy of electromagnetic flow caused by bubbles and realizing the electromagnetic measurement of gasliquid two-phase flow.