The presence of sample noise in color matching images can lead to significant errors between the color scheme and the standard color of the source image, resulting in poor color coordination comfort. To address the above issues, research is conducted on the interactive color matching design of image color interfaces for high-resolution laser scanning point clouds. In this study, high-resolution laser scanning technology was used to collect standard point cloud data as reference samples, and denoising was implemented for the point cloud data to reduce noise interference. Convert the RGB data of the point cloud into HSV data and establish a color matching model based on the Birkhoff meter values in the table. Combining the fruit fly algorithm and particle swarm optimization algorithm to avoid falling into local optima, the fruit fly particle swarm algorithm is used to obtain the optimal solution of the color matching model, and the optimal design scheme for interactive color matching of the image color interface is obtained. The results show that the Birkhoff meter value of color scheme 2 is 0.976, which is higher than the other five schemes. This indicates that color scheme 2 is the optimal solution for the color matching model, achieving the best color matching effect and making the color matching more coordinated and comfortable.