基于视觉测量的脉搏图像三维重构

动脉搏动情况是人体循环系统动态过程中一个可检测的生物讯号.在单目视觉脉搏图像传感器的基础上,依据脉搏图像传感器中薄膜及其网格变化约束的特点,建立了空间测量原理的数学模型,运用Harris角点检测算法,对连续各帧脉搏图像中的角点进行跟踪匹配,从而重构出脉搏搏动的三维信息.通过实验获得了平脉、滑脉、迟脉和濡脉4种脉象的三维信息,实现了脉搏图像的三维重构,为进一步在时空域中提取多种表征脉搏状态的特征奠定了基础.

3D Reconstruction of the Pulse Image Based on Visual Measurement

The pulse situation is a kind of biological signal that can be detected during the dynamic process in human body circulation system. In order to obtain more pulse information, the mathematical model of the space measurement principle has been established according to the characteristics of the thin film grid in the pulse image sensor, which is build on the self-developed pulse image sensor with monocular vision. The corners of pulse image in each successive frame are tracked and matched by the corner detection algorithm Harris, and the three-dimensional information of the pulse situation is reconstructed. The pulse images of the normal pulse, the slippery pulse, the slow pulse and the soft pulse were obtained and analyzed by experiment. The three-dimensional reconstruction of the pulse image is realized. It has laid a foundation to extract more features that characterize the pulse states in the space-time domain.