<p>Accurate three-dimensional (3D) vibration measurement is critical in precision engineering for assessing structural integrity and dynamic performance. Laser scanning vibrometers (LSVs) offer a non-contact solution but face challenges in aligning laser beams with target points, especially when object geometry and orientation are initially unknown. This study proposes an integrated method combining image processing with a fuzzy logic controller to enhance LSV measurement accuracy. The image-processing algorithm detects the laser beam's position on the object's surface, providing real-time feedback for the fuzzy controller. Based on this feedback, the controller adaptively adjusts galvanoscanner angles to align the laser beams precisely with designated points. Experimental validation, conducted on a small wind turbine structure, demonstrates a significant enhancement in scanning accuracy. Compared to the manual method, the proposed automatic image-guided fuzzy PI controller significantly improves the accuracy of 3D vibration measurements. While the manual approach relies on fixed alignment and operator adjustments resulting in a high RMSE of 15.23 pixels between the desired and actual laser positions, the automatic system dynamically adapts to positional errors using real-time feedback, achieving a much lower RMSE of 0.73 pixels. This highlights the superiority of the automated method in precision-critical applications. This approach addresses key limitations in conventional LSV systems, offering enhanced precision in dynamic and complex measurement environments. The methodology is well-suited for applications in smart manufacturing, structural health monitoring, and multimedia-enabled diagnostics. However, environmental factors such as lighting variation and excessive vibration may still affect system performance, suggesting avenues for future refinement.</p>